[ { "id": "abridge-health-systems", "organisation": "Abridge (300+ health systems)", "organisation_id": "abridge", "country": null, "sector": "healthcare", "usecase": "hc-ambient-scribing", "model_or_product": "Abridge ambient scribe", "model_id": null, "vendor": "Abridge", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "300+ health systems, 100M+ conversations a year; Abridge tested GPT-5.5", "sources": [ "https://www.abridge.com/" ], "unverified": [] }, { "id": "accenture-sahabat-banking", "organisation": "Accenture (banking solutions)", "organisation_id": "accenture", "country": "Indonesia", "sector": "finance", "usecase": "fin-customer-service-assistant", "model_or_product": "Banking solutions on Sahabat-AI", "model_id": "goto-sahabat-ai", "vendor": "GoTo, Indosat, AI Singapore", "vendor_country": "Indonesia / Singapore", "status": "planned", "date": "2024-11", "evidence_type": "company statement", "outcome_claims": "No named bank deployment found", "sources": [ "https://blogs.nvidia.com/?p=75648" ], "unverified": [ "province", "group" ], "model_named": "Sahabat-AI" }, { "id": "antam-conveyor-ai", "organisation": "PT Aneka Tambang Tbk (ANTAM), ferronickel", "organisation_id": "antam", "country": "Indonesia", "sector": "mining", "usecase": "ind-visual-inspection", "model_or_product": "Conveyor belt tear and oversize detection; maintenance needs; reductant and dolomite composition monitoring (not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2026-09-09", "evidence_type": "company statement", "outcome_claims": "AI is used per MIND ID", "sources": [ "https://en.antaranews.com/news/430657/mind-id-leverages-ai-to-boost-safety-mining-operations" ], "unverified": [ "province", "vendor", "model" ], "group": "MIND ID" }, { "id": "aspen-mtell-ocp-ecuador", "organisation": "OCP Ecuador", "organisation_id": "ocp-ecuador", "country": "Ecuador", "sector": "oil and gas", "usecase": "ind-predictive-maintenance", "model_or_product": "Aspen Mtell", "model_id": null, "vendor": "AspenTech (Emerson)", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://www.aspentech.com/en/products/apm/aspen-mtell" ], "unverified": [] }, { "id": "aspen-mtell-ypf", "organisation": "YPF", "organisation_id": "ypf", "country": "Argentina", "sector": "oil and gas", "usecase": "ind-predictive-maintenance", "model_or_product": "Aspen Mtell", "model_id": null, "vendor": "AspenTech (Emerson)", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://www.aspentech.com/en/products/apm/aspen-mtell" ], "unverified": [] }, { "id": "astra-agro-apps", "organisation": "PT Astra Agro Lestari", "organisation_id": "astra-agro-lestari", "country": "Indonesia", "sector": "agriculture", "usecase": "ag-harvest-planning", "model_or_product": "Amanda, Dinda, Melli (in-house apps; AI not stated)", "model_id": null, "vendor": "In-house", "vendor_country": "Indonesia", "status": "production", "date": "2020-02", "evidence_type": "company statement", "outcome_claims": "Page does not mention AI", "sources": [ "https://www.astra-agro.co.id/2020/02/19/astra-agro-develops-own-technology-to-improve-plantation-operations/" ], "unverified": [ "province", "model" ], "group": "Astra International" }, { "id": "asuransi-astra-fraud", "organisation": "Asuransi Astra", "organisation_id": "asuransi-astra", "country": "Indonesia", "sector": "insurance", "usecase": "fin-insurance-claims", "model_or_product": "AI fraud detection for health claims", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "pilot", "date": "2026-09-11", "evidence_type": "company statement", "outcome_claims": "Described as developed", "sources": [ "https://www.investortrust.id/financial/115958/asuransi-astra-targetkan-80-proses-klaim-dilakukan-otomatis-dengan-ai" ], "unverified": [ "province", "vendor", "model", "group" ] }, { "id": "asuransi-astra-ocr", "organisation": "Asuransi Astra", "organisation_id": "asuransi-astra", "country": "Indonesia", "sector": "insurance", "usecase": "fin-insurance-claims", "model_or_product": "OCR and AI for motor policy issuance", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2026-09-11", "evidence_type": "company statement", "outcome_claims": "Policy issuance cut from 16 steps to 2; target 70 to 80% automated", "sources": [ "https://www.investortrust.id/financial/115958/asuransi-astra-targetkan-80-proses-klaim-dilakukan-otomatis-dengan-ai" ], "unverified": [ "province", "vendor", "model", "group" ] }, { "id": "audi-siemens-vplc", "organisation": "Audi", "organisation_id": "audi", "country": "Germany", "sector": "manufacturing", "usecase": "ind-digital-twins", "model_or_product": "Siemens vPLC", "model_id": null, "vendor": "Siemens", "vendor_country": "Germany", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://via.tt.se/pressmeddelande/4202605/siemens-unveils-technologies-to-accelerate-the-industrial-ai-revolution-at-ces-2026%3FpublisherId%3D259167%26lang%3Den", "https://en.wikipedia.org/wiki/Audi" ], "unverified": [] }, { "id": "bappeda-jabar-bigbox", "organisation": "Bappeda Jawa Barat", "organisation_id": "bappeda-jawa-barat", "country": "Indonesia", "sector": "public sector", "usecase": "pub-big-data-analytics", "model_or_product": "BigBox AI", "model_id": null, "vendor": "PT Telkom Indonesia", "vendor_country": "Indonesia", "status": "production", "date": "2026-05-01", "evidence_type": "company statement", "outcome_claims": "Implemented per Telkom", "sources": [ "https://selular.id/2026/05/itd-summit-2026-telkomgroup-buktikan-ai-bukan-tren-tapi-alat-kerja-nyata/" ], "unverified": [ "city", "model", "group" ], "province": "Jawa Barat" }, { "id": "bca-agent-assist", "organisation": "Bank Central Asia (BCA)", "organisation_id": "bca", "country": "Indonesia", "sector": "finance", "usecase": "fin-customer-service-assistant", "model_or_product": "AI Agent Assist for Halo BCA", "model_id": null, "vendor": "In-house", "vendor_country": "Indonesia", "status": "production", "date": "2026-03-16", "evidence_type": "company statement", "outcome_claims": "In development", "sources": [ "https://investortrust.id/financial/97317/bca-bbca-siapkan-sederet-langkah-transformasi-baru-untuk-perkuat-layanan" ], "unverified": [ "province", "model", "group" ] }, { "id": "bca-vira", "organisation": "Bank Central Asia (BCA)", "organisation_id": "bca", "country": "Indonesia", "sector": "finance", "usecase": "fin-customer-service-assistant", "model_or_product": "VIRA chatbot (model not named)", "model_id": null, "vendor": "In-house", "vendor_country": "Indonesia", "status": "production", "date": "2026-03-16", "evidence_type": "academic paper", "outcome_claims": null, "sources": [ "https://investortrust.id/financial/97317/bca-bbca-siapkan-sederet-langkah-transformasi-baru-untuk-perkuat-layanan", "https://investortrust.id/financial/97317/bca-bbca-siapkan-sederet-langkah-transformasi-baru-untuk-perkuat-layanan https://journal.eng.unila.ac.id/index.php/jitet/article/view/6994", "https://journal.eng.unila.ac.id/index.php/jitet/article/view/6994" ], "unverified": [ "province", "model", "group", "source" ] }, { "id": "bmkg-weathernews-ai-cyclone-flood", "organisation": "Badan Meteorologi, Klimatologi, dan Geofisika (BMKG)", "organisation_id": "bmkg", "country": "Indonesia", "sector": "government", "usecase": "ag-weather-forecasting", "model_or_product": "AI-Based Tropical Cyclone and Flood Forecasting in Indonesia (Weathernews forecasting products and dashboard)", "model_id": null, "vendor": "Weathernews Inc.", "vendor_country": "Japan", "status": "contract signed", "date": "2026-02-05", "evidence_type": "government statement", "outcome_claims": "Expected faster and more accurate early warnings; an earlier Bekasi and Karawang feasibility study produced radar rainfall nowcasting effective up to one hour ahead", "sources": [ "https://www.bmkg.go.id/berita/utama/bmkg-dan-weathernews-inc-jalin-kerja-sama-perkuat-sistem-peringatan-dini-berbasis-ai/" ], "unverified": [ "vendor_country", "model" ], "province": "national" }, { "id": "bmw-spartanburg-figure", "organisation": "BMW (Spartanburg plant)", "organisation_id": "bmw", "country": "USA", "sector": "automotive manufacturing", "usecase": "industrial-humanoid-parts-handling", "model_or_product": "Figure 02 and Figure 03 humanoids with Helix", "model_id": "figure-ai-helix-02", "vendor": "Figure AI", "vendor_country": "USA", "status": "production", "date": "2026-06-30", "evidence_type": "independent report", "outcome_claims": "Figure 02 loaded 90,000+ parts over 11 months; Figure 03 at Hall 52 from 30 Jun 2026", "sources": [ "https://aiwiki.ai/wiki/helix_vla" ] }, { "id": "bni-cloudera-llm-inference", "organisation": "Bank Negara Indonesia (BNI)", "organisation_id": "bni", "country": "Indonesia", "sector": "finance", "usecase": "fin-internal-knowledge-qa", "model_or_product": "Cloudera AI Inference on NVIDIA NIM with open-source LLMs (names not stated), on-prem", "model_id": null, "vendor": "Cloudera; NVIDIA", "vendor_country": "USA", "status": "planned", "date": "2025-08-07", "evidence_type": "company statement", "outcome_claims": "Full deployment expected by end of 2025", "sources": [ "https://www.aap.com.au/aapreleases/globenewswire9507748/" ], "unverified": [ "province", "model", "group" ] }, { "id": "bni-cloudera-ml", "organisation": "Bank Negara Indonesia (BNI)", "organisation_id": "bni", "country": "Indonesia", "sector": "finance", "usecase": "fin-aml-monitoring", "model_or_product": "Cloudera ML: product recommendation, procurement optimisation, suspicious account detection (anti-gambling with PPATK, OJK, BI), RM response assist, churn", "model_id": null, "vendor": "Cloudera", "vendor_country": "USA", "status": "production", "date": "2025-08-07", "evidence_type": "company statement", "outcome_claims": "ML use cases in use", "sources": [ "https://www.aap.com.au/aapreleases/globenewswire9507748/" ], "unverified": [ "province", "model", "group" ] }, { "id": "bpjs-kesehatan-models", "organisation": "BPJS Kesehatan", "organisation_id": "bpjs-kesehatan", "country": "Indonesia", "sector": "healthcare", "usecase": "hc-health-insurance-analytics", "model_or_product": "In-house models: Mobile JKN chatbot NLP and recommender; referral patterns, diabetes and hypertension risk, visit and cost prediction, claim anomaly detection", "model_id": null, "vendor": "BPJS Kesehatan internal data scientists", "vendor_country": "Indonesia", "status": "pilot", "date": "2024-07-10", "evidence_type": "company statement", "outcome_claims": "Described as developed or developing; production status of each model not stated", "sources": [ "https://govinsider.asia/intl-en/article/bpjs-kesehatan-to-use-ai-improve-efficiency-healthcare-services" ], "unverified": [ "model", "group" ], "province": "national" }, { "id": "bps-sensus-ekonomi-genai", "organisation": "Badan Pusat Statistik (BPS)", "organisation_id": "bps", "country": "Indonesia", "sector": "public sector", "usecase": "pub-statistics-classification", "model_or_product": "Generative AI suggestions for KBLI classification in the CAPI app (model not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "planned", "date": "2025-12-22", "evidence_type": "government statement", "outcome_claims": "For Sensus Ekonomi 2026", "sources": [ "https://www.goodnewsfromindonesia.id/short/bps-optimalkan-ai-untuk-klasifikasi-data-sensus-ekonomi-2026" ], "unverified": [ "model", "vendor" ], "province": "national" }, { "id": "bri-cloudera-recommender", "organisation": "Bank Rakyat Indonesia (BRI)", "organisation_id": "bri", "country": "Indonesia", "sector": "finance", "usecase": "fin-product-recommendation", "model_or_product": "Personalized Product Recommendation on Cloudera AI", "model_id": null, "vendor": "Cloudera", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "Reported 30% uplift in engagement and approval rates; integrated into BRImo and BRISPOT", "sources": [ "https://cloudera.com/customers/bank-bri.html" ], "unverified": [ "province", "model", "group" ] }, { "id": "bri-hi-bravo", "organisation": "Bank Rakyat Indonesia (BRI)", "organisation_id": "bri", "country": "Indonesia", "sector": "finance", "usecase": "fin-internal-knowledge-qa", "model_or_product": "Hi Bravo! (RAG over LLM, planned)", "model_id": null, "vendor": "In-house", "vendor_country": "Indonesia", "status": "planned", "date": null, "evidence_type": "company statement", "outcome_claims": "Planned, not confirmed live", "sources": [ "https://cloudera.com/customers/bank-bri.html" ], "unverified": [ "province", "model", "group" ] }, { "id": "bri-sabrina", "organisation": "Bank Rakyat Indonesia (BRI)", "organisation_id": "bri", "country": "Indonesia", "sector": "finance", "usecase": "fin-customer-service-assistant", "model_or_product": "Sabrina chatbot (NLP plus LLM; understands 8 regional languages; model not stated)", "model_id": null, "vendor": "In-house BRIBRAIN", "vendor_country": "Indonesia", "status": "production", "date": "2024-06-09", "evidence_type": "academic paper", "outcome_claims": "Developed and implemented per release", "sources": [ "https://www.industry.co.id/read/133616/bri-kenalkan-conversational-banking-hingga-robot-cash-management-di-kick-off-bumn-ai-center-of-excellence", "https://jurnal.poliwangi.ac.id/index.php/IJENT/article/view/412", "data/records/deployments.json (bri-sabrina sources[1] is the two URLs joined by a space)" ], "unverified": [ "province", "model", "group" ] }, { "id": "bri-wise", "organisation": "Bank Rakyat Indonesia (BRI)", "organisation_id": "bri", "country": "Indonesia", "sector": "finance", "usecase": "fin-internal-knowledge-qa", "model_or_product": "WISE generative AI knowledge search for frontliners (model not stated)", "model_id": null, "vendor": "In-house BRIBRAIN", "vendor_country": "Indonesia", "status": "production", "date": "2024-06-09", "evidence_type": "company statement", "outcome_claims": "Developed and implemented per release", "sources": [ "https://www.industry.co.id/read/133616/bri-kenalkan-conversational-banking-hingga-robot-cash-management-di-kick-off-bumn-ai-center-of-excellence" ], "unverified": [ "province", "model", "group" ] }, { "id": "bukit-asam-safety-ai", "organisation": "PT Bukit Asam Tbk", "organisation_id": "bukit-asam", "country": "Indonesia", "sector": "mining", "usecase": "ind-safety-ppe", "model_or_product": "Driver and worker fatigue detection; PPE compliance warnings (not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2026-09-09", "evidence_type": "company statement", "outcome_claims": "Implemented per MIND ID Deputy President Director", "sources": [ "https://en.antaranews.com/news/430657/mind-id-leverages-ai-to-boost-safety-mining-operations" ], "unverified": [ "province", "vendor", "model" ], "group": "MIND ID" }, { "id": "c3-reliability-dow", "organisation": "Dow", "organisation_id": "dow", "country": null, "sector": "process industries", "usecase": "ind-predictive-maintenance", "model_or_product": "C3 AI Reliability", "model_id": null, "vendor": "C3 AI", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "Vendor claim: $45M per year", "sources": [ "https://c3.ai/products/c3-ai-reliability/" ], "unverified": [] }, { "id": "c3-reliability-flint-hills-resources", "organisation": "Flint Hills Resources", "organisation_id": "flint-hills-resources", "country": "USA", "sector": "process industries", "usecase": "ind-predictive-maintenance", "model_or_product": "C3 AI Reliability", "model_id": null, "vendor": "C3 AI", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://c3.ai/products/c3-ai-reliability/", "https://en.wikipedia.org/wiki/Koch,_Inc." ], "unverified": [] }, { "id": "c3-reliability-holcim", "organisation": "Holcim", "organisation_id": "holcim", "country": null, "sector": "process industries", "usecase": "ind-predictive-maintenance", "model_or_product": "C3 AI Reliability", "model_id": null, "vendor": "C3 AI", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "Vendor claim: 80 plants and 400 assets", "sources": [ "https://c3.ai/products/c3-ai-reliability/" ], "unverified": [] }, { "id": "c3-reliability-shell", "organisation": "Shell", "organisation_id": "shell", "country": "global", "sector": "process industries", "usecase": "ind-predictive-maintenance", "model_or_product": "C3 AI Reliability", "model_id": null, "vendor": "C3 AI", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "Vendor claim: Over 10,000 assets", "sources": [ "https://c3.ai/products/c3-ai-reliability/" ], "unverified": [] }, { "id": "catalyst-brands-figure", "organisation": "Catalyst Brands", "organisation_id": "catalyst-brands", "country": "USA", "sector": "logistics", "usecase": "logistics-humanoid-handling", "model_or_product": "Figure humanoids with Helix", "model_id": null, "vendor": "Figure AI", "vendor_country": "USA", "status": "contract signed", "date": "2026-05-26", "evidence_type": "independent report", "outcome_claims": null, "sources": [ "https://aiwiki.ai/wiki/helix_vla" ] }, { "id": "claude-healthcare-banner-health", "organisation": "Banner Health", "organisation_id": "banner-health", "country": "USA", "sector": "healthcare", "usecase": "hc-clinical-llm-frontier", "model_or_product": "Claude for Healthcare", "model_id": "anthropic-claude-opus-4-5", "vendor": "Anthropic", "vendor_country": "USA", "status": "production", "date": "2026-01-11", "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://www.anthropic.com/news/healthcare-life-sciences", "https://en.wikipedia.org/wiki/Banner_Health" ], "unverified": [] }, { "id": "claude-healthcare-commure", "organisation": "Commure", "organisation_id": "commure", "country": "USA", "sector": "healthcare", "usecase": "hc-clinical-llm-frontier", "model_or_product": "Claude for Healthcare", "model_id": "anthropic-claude-opus-4-5", "vendor": "Anthropic", "vendor_country": "USA", "status": "production", "date": "2026-01-11", "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://www.anthropic.com/news/healthcare-life-sciences", "https://www.commure.com/" ], "unverified": [] }, { "id": "claude-healthcare-flatiron", "organisation": "Flatiron", "organisation_id": "flatiron-health", "country": null, "sector": "healthcare", "usecase": "hc-clinical-llm-frontier", "model_or_product": "Claude for Healthcare", "model_id": "anthropic-claude-opus-4-5", "vendor": "Anthropic", "vendor_country": "USA", "status": "production", "date": "2026-01-11", "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://www.anthropic.com/news/healthcare-life-sciences" ], "unverified": [] }, { "id": "claude-healthcare-novo-nordisk", "organisation": "Novo Nordisk", "organisation_id": "novo-nordisk", "country": null, "sector": "healthcare", "usecase": "hc-clinical-llm-frontier", "model_or_product": "Claude for Healthcare", "model_id": "anthropic-claude-opus-4-5", "vendor": "Anthropic", "vendor_country": "USA", "status": "production", "date": "2026-01-11", "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://www.anthropic.com/news/healthcare-life-sciences" ], "unverified": [] }, { "id": "claude-healthcare-sanofi", "organisation": "Sanofi", "organisation_id": "sanofi", "country": null, "sector": "healthcare", "usecase": "hc-clinical-llm-frontier", "model_or_product": "Claude for Healthcare", "model_id": "anthropic-claude-opus-4-5", "vendor": "Anthropic", "vendor_country": "USA", "status": "production", "date": "2026-01-11", "evidence_type": "company statement", "outcome_claims": null, "sources": [ 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"sector": "pharma and life sciences", "usecase": "hc-pharma-regulatory-documents", "model_or_product": "Claude for Life Sciences", "model_id": "anthropic-claude-sonnet-4-5", "vendor": "Anthropic", "vendor_country": "USA", "status": "production", "date": "2025-10-20", "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://www.anthropic.com/news/claude-for-life-sciences" ], "unverified": [] }, { "id": "claude-life-sciences-sanofi", "organisation": "Sanofi", "organisation_id": "sanofi", "country": null, "sector": "pharma and life sciences", "usecase": "hc-pharma-regulatory-documents", "model_or_product": "Claude for Life Sciences", "model_id": "anthropic-claude-sonnet-4-5", "vendor": "Anthropic", "vendor_country": "USA", "status": "production", "date": "2025-10-20", "evidence_type": "company statement", "outcome_claims": "Sanofi: used by most Sanofians daily", "sources": [ "https://www.anthropic.com/news/claude-for-life-sciences" ], "unverified": [] }, { "id": "claude-life-sciences-schrodinger", "organisation": "Schrödinger", "organisation_id": "schrodinger", "country": null, "sector": "pharma and life sciences", "usecase": "hc-pharma-regulatory-documents", "model_or_product": "Claude for Life Sciences", "model_id": "anthropic-claude-sonnet-4-5", "vendor": "Anthropic", "vendor_country": "USA", "status": "production", "date": "2025-10-20", "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://www.anthropic.com/news/claude-for-life-sciences" ], "unverified": [] }, { "id": "cnpc-kunlun-pipelines", "organisation": "China National Petroleum Corp.", "organisation_id": "cnpc", "country": "China", "sector": "oil and gas", "usecase": "ind-visual-inspection", "model_or_product": "Kunlun Large Model on Huawei Pangu", "model_id": "cnpc-kunlun-large-model", "vendor": "CNPC with Huawei", "vendor_country": "China", "status": "production", "date": "2025-06-24", "evidence_type": "company statement", "outcome_claims": "Vendor 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"oil and gas", "usecase": "ind-industrial-copilots", "model_or_product": "Cognite Atlas AI", "model_id": null, "vendor": "Cognite", "vendor_country": "Norway", "status": "production", "date": "2025-09-09", "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://www.cognite.com/en/company/newsroom/cognite-atlas-ai-drives-customer-momentum-with-new-major-release", "https://en.wikipedia.org/wiki/Aker_BP" ], "unverified": [] }, { "id": "cognite-atlas-celanese", "organisation": "Celanese", "organisation_id": "celanese", "country": null, "sector": "chemicals", "usecase": "ind-industrial-copilots", "model_or_product": "Cognite Atlas AI", "model_id": null, "vendor": "Cognite", "vendor_country": "Norway", "status": "production", "date": "2025-09-09", "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://www.cognite.com/en/company/newsroom/cognite-atlas-ai-drives-customer-momentum-with-new-major-release" ], "unverified": [] }, { "id": "cognite-atlas-hess", "organisation": "Hess", "organisation_id": "hess", "country": null, "sector": "oil and gas", "usecase": "ind-industrial-copilots", "model_or_product": "Cognite Atlas AI", "model_id": null, "vendor": "Cognite", "vendor_country": "Norway", "status": "production", "date": "2025-09-09", "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://www.cognite.com/en/company/newsroom/cognite-atlas-ai-drives-customer-momentum-with-new-major-release" ], "unverified": [] }, { "id": "cognite-atlas-hmh", "organisation": "HMH", "organisation_id": "hmh", "country": null, "sector": "oil and gas", "usecase": "ind-industrial-copilots", "model_or_product": "Cognite Atlas AI", "model_id": null, "vendor": "Cognite", "vendor_country": "Norway", "status": "production", "date": "2025-09-09", "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://www.cognite.com/en/company/newsroom/cognite-atlas-ai-drives-customer-momentum-with-new-major-release" ], "unverified": [] }, { "id": "cognite-atlas-idemitsu", "organisation": "Idemitsu", "organisation_id": "idemitsu", "country": "Japan", "sector": "oil and gas", "usecase": "ind-industrial-copilots", "model_or_product": "Cognite Atlas AI", "model_id": null, "vendor": "Cognite", "vendor_country": "Norway", "status": "production", "date": "2025-09-09", "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://www.cognite.com/en/company/newsroom/cognite-atlas-ai-drives-customer-momentum-with-new-major-release", "https://en.wikipedia.org/wiki/Idemitsu_Kosan" ], "unverified": [] }, { "id": "cognite-atlas-tokuyama", "organisation": "Tokuyama", "organisation_id": "tokuyama", "country": "Japan", "sector": "chemicals", "usecase": "ind-industrial-copilots", "model_or_product": "Cognite Atlas AI", "model_id": null, "vendor": "Cognite", "vendor_country": "Norway", "status": "production", "date": "2025-09-09", "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://www.cognite.com/en/company/newsroom/cognite-atlas-ai-drives-customer-momentum-with-new-major-release", "https://en.wikipedia.org/wiki/Tokuyama_Corporation" ], "unverified": [] }, { "id": "conch-cement-pangu", "organisation": "Conch Cement", "organisation_id": "conch-cement", "country": "China", "sector": "industrial", "usecase": "ind-process-optimisation", "model_or_product": "Huawei Pangu Prediction Model", "model_id": "huawei-pangu-prediction-model", "vendor": "Huawei", "vendor_country": "China", "status": "production", "date": "2025-06-23", "evidence_type": "company statement", "outcome_claims": "Clinker strength prediction (3- and 28-day)", "sources": [ "https://aimagazine.com/articles/how-huawei-pangu-5-5-ai-models-transform-industry-operations" ], "unverified": [] }, { "id": "dabeeo-posco", "organisation": "POSCO Group (PT Bio Inti Agrindo)", "organisation_id": "posco-international", "country": "Indonesia", "sector": "agriculture", "usecase": "ag-plantation-monitoring", "model_or_product": "Dabeeo plantation analytics", "model_id": null, "vendor": "Dabeeo", "vendor_country": "South Korea", "status": "contract signed", "date": "2025-05", "evidence_type": "company statement", "outcome_claims": "Cooperation since Dabeeo began operating in Indonesia (May 2025); scale and status not stated", "sources": [ "https://industri.kontan.co.id/news/dabeeo-perluas-teknologi-ai-untuk-perkebunan-sawit-di-indonesia" ], "unverified": [ "date", "province", "group" ] }, { "id": "dabeeo-salim", "organisation": "Salim Group", "organisation_id": "salim-group", "country": "Indonesia", "sector": "agriculture", "usecase": "ag-plantation-monitoring", "model_or_product": "Dabeeo plantation analytics", "model_id": null, "vendor": "Dabeeo", "vendor_country": "South Korea", "status": "contract signed", "date": "2025-05", "evidence_type": "company 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"organisation": "Directorate General of Customs and Excise (DJBC), Ministry of Finance", "organisation_id": "djbc", "country": "Indonesia", "sector": "tax and customs", "usecase": "pub-customs-risk-management", "model_or_product": "SSR-Mobile (Self Service Report Mobile) in CEISA 4.0 with AI automated risk analysis (model not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2025-12-12", "evidence_type": "government statement", "outcome_claims": "Finance Minister claims less bureaucracy, higher compliance and fewer gaps for fraud", "sources": [ "https://ortax.org/bea-cukai-resmikan-pemindai-peti-kemas-dan-kenalkan-aplikasi-kepabeanan-berbasis-ai" ], "unverified": [ "province", "model", "vendor" ], "group": "Kementerian Keuangan" }, { "id": "djbc-tradeai", "organisation": "Directorate General of Customs and Excise (DJBC), Ministry of Finance", "organisation_id": "djbc", "country": "Indonesia", "sector": "tax and customs", "usecase": "pub-customs-risk-management", "model_or_product": "TradeAI: customs value, classification and document checks integrated with CEISA 4.0 (model not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "pilot", "date": "2026-03-25", "evidence_type": "government statement", "outcome_claims": "Early trial on nearly 150 import declarations found abnormal values worth an estimated Rp1.2 billion in extra revenue; document review time fell from 120 minutes to 50 to 60 minutes (DJBC 2025 performance report via DDTC)", "sources": [ "https://news.ddtc.co.id/berita/nasional/1818199/djbc-kembangkan-ai-untuk-awasi-impor-begini-progresnya", "https://ortax.org/bea-cukai-resmikan-pemindai-peti-kemas-dan-kenalkan-aplikasi-kepabeanan-berbasis-ai" ], "unverified": [ "province", "model", "vendor" ], "group": "Kementerian Keuangan" }, { "id": "djp-ccm-ai-compliance", "organisation": "Direktorat Jenderal Pajak (DJP)", "organisation_id": "djp", "country": "Indonesia", "sector": "tax and customs", "usecase": "pub-tax-administration", "model_or_product": "AI-based Co-Operative Compliance Mechanism (CCM) for compliance risk mapping, profiling and benchmarking (model not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "pilot", "date": "2026-07-13", "evidence_type": "government statement", "outcome_claims": "none stated", "sources": [ "https://www.fortuneidn.com/news/lima-tahun-tertahan-di-10-djp-pacu-tax-ratio-tembus-15-00-6cmtl-241575" ], "unverified": [ "province", "model", "vendor", "group" ] }, { "id": "djp-renstra-ai", "organisation": "Direktorat Jenderal Pajak (DJP)", "organisation_id": "djp", "country": "Indonesia", "sector": "public sector", "usecase": "pub-tax-administration", "model_or_product": "AI pillar in Renstra 2025 to 2029: AI architecture, performance monitoring, KMS sync with Coretax", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "planned", "date": "2026-04-21", "evidence_type": "government statement", "outcome_claims": "Strategic plan, not deployment", "sources": [ "https://nasional.kontan.co.id/news/kejar-kepatuhan-hingga-2029-djp-siapkan-sistem-pajak-berbasis-ai" ], "unverified": [ "province", "group", "model" ] }, { "id": "efishery-efeeder-aiot", "organisation": "eFishery", "organisation_id": "efishery", "country": "Indonesia", "sector": "aquaculture", "usecase": "ag-aquaculture-pond-ai", "model_or_product": "eFeeder automatic feeder described as AIoT", "model_id": null, "vendor": "in-house", "vendor_country": "Indonesia", "status": "production", "date": "2025-10-27", "evidence_type": "independent report", "outcome_claims": "eFishery said in June 2024 (Kontan) that its eFeeder automatic feeders use AIoT. In October 2025 a reporter found more than 30 of one farmer's 40 units unused and the control app out of reach since about February 2025", "sources": [ "https://kumparan.com/kumparanbisnis/yang-terdampak-dari-kasus-efishery-267yOzEMqC1", "https://industri.kontan.co.id/news/efishery-lakukan-digitalisasi-industri-akuakultur-untuk-mempermudah-pembudidaya" ], "unverified": [ "province", "model", "kontan.co.id" ] }, { "id": "emc-harrison-cxr", "organisation": "EMC Healthcare", "organisation_id": "emc-healthcare", "country": "Indonesia", "sector": "healthcare", "usecase": "hc-chest-xray-tb-screening", "model_or_product": "Harrison.ai chest X-ray solution", "model_id": null, "vendor": "Harrison.ai", "vendor_country": "Australia", "status": "contract signed", "date": null, "evidence_type": "company statement", "outcome_claims": "Partners to deploy, per search titles only", "sources": [ "https://harrison.ai/news/emc-healthcare-partners-with-harrison-ai-to-deploy-cutting-edge-ai-chest-x-ray-solutions-across-its-hospital-network/" ], "unverified": [ "status", "date", "province", "model_id", "vendor_country" ], "model_named": "Harrison.ai Chest X-ray solution" }, { "id": "eosda-pysawit-indonesia", "organisation": "Unnamed Indonesian estate (15,000 to 17,000 ha)", "organisation_id": null, "country": "Indonesia", "sector": "agriculture", "usecase": "ag-yield-prediction", "model_or_product": "PySawit (enhanced)", "model_id": "eosda-pysawit", "vendor": "EOSDA", "vendor_country": null, "status": "production", "date": "2024", "evidence_type": "company statement", "outcome_claims": "Accuracy raised from 78% to up to 90% (vendor claim), season 2024 to 2025", "sources": [ "https://eos.com/blog/eosda-enhanced-pysawit-model-to-improve-its-accuracy/" ], "unverified": [ "province", "vendor_country" ], "model_named": "PySawit (enhanced)" }, { "id": "fda-elsa", "organisation": "US FDA", "organisation_id": "fda", "country": "USA", "sector": "public sector", "usecase": "hc-pharmacovigilance", "model_or_product": "Elsa (generative AI tool in GovCloud; model not named)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2025-06-02", "evidence_type": "government statement", "outcome_claims": "Agency-wide tool; adverse event summarization given as an example capability", "sources": [ "https://www.fda.gov/news-events/press-announcements/fda-launches-agency-wide-ai-tool-optimize-performance-american-people" ], "unverified": [] }, { "id": "freeport-rct-rockbreakers", "organisation": "PT Freeport Indonesia", "organisation_id": "freeport-indonesia", "country": "Indonesia", "sector": "mining", "usecase": "ind-autonomous-mining", "model_or_product": "RCT ControlMaster Guidance autonomous mobile rockbreaker fleet (source does not call it AI or ML)", "model_id": null, "vendor": "RCT", "vendor_country": "Australia", "status": "production", "date": "2022-03-16", "evidence_type": "company statement", "outcome_claims": "At Grasberg Block Cave and DMLZ", "sources": [ "https://rct-global.com/2022/03/freeport-deploys-world-first-autonomous-rockbreaker-fleet/", "https://en.wikipedia.org/wiki/Grasberg_mine" ], "unverified": [ "group" ], "province": "Papua Tengah", "city": "Kabupaten Mimika", "model_named": "RCT ControlMaster Guidance" }, { "id": "gar-smarttrace-verborg", "organisation": "Golden Agri-Resources with Verborg Group (Farmsum NL)", "organisation_id": "golden-agri-resources", "country": "Netherlands", "sector": "agriculture", "usecase": "ag-eudr-traceability", "model_or_product": "SmartTrace (blockchain traceability; AI not mentioned)", "model_id": null, "vendor": "Golden Agri-Resources", "vendor_country": "Singapore / Indonesia", "status": "pilot", "date": "2025-03-06", "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://www.affaritaliani.it/lavoro/notiziario/golden-agri-resources-partners-with-verborg-group-to-pilot-smarttrace-eudr-compliance-system-420811.html" ], "unverified": [] }, { "id": "google-translate-110", "organisation": "Google Translate", "organisation_id": "google", "country": "global", "sector": "public sector", "usecase": "pub-translation", "model_or_product": "Google Translate 110-language expansion", "model_id": "google-palm-2", "vendor": "Google", "vendor_country": "USA", "status": "production", "date": "2024-06-27", "evidence_type": "company statement", "outcome_claims": "Indonesian regional languages not named in the article", "sources": [ "https://blog.google/products/translate/google-translate-new-languages-2024/" ], "unverified": [] }, { "id": "goto-dira", "organisation": "GoTo (Gojek, GoPay)", "organisation_id": "goto", "country": "Indonesia", "sector": "retail and logistics", "usecase": "ret-voice-assistant", "model_or_product": "Dira voice assistant: Gemini 1.5 Flash on Google Cloud Vertex AI with speech-to-text at launch per Katadata and Google (27 September 2024); GoTo adopting Sahabat-AI to integrate with Dira per NVIDIA (13 November 2024)", "model_id": null, "vendor": "GoTo", "vendor_country": "Indonesia", "status": "production", "date": "2024-09-27", "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://blogs.nvidia.com/?p=75648", "https://katadata.co.id/digital/startup/66f64904e2f2f/goto-gojek-pakai-teknologi-google-hadirkan-fitur-ai-dira-di-gopay", "https://blog.google/intl/id-id/asisten-suara-goto-memanfaatkan-ai-generatif-google-cloud/" ], "unverified": [ "model_or_product", "model_id", "group" ], "province": "national", "model_named": "Gemini 1.5 Flash on Vertex AI with Google speech-to-text (launch); Sahabat-AI integration per NVIDIA" }, { "id": "govtech-pair", "organisation": "Singapore civil service", "organisation_id": "govtech-singapore", "country": "Singapore", "sector": "public sector", "usecase": "pub-public-officer-assistant", "model_or_product": "Pair (underlying model not named)", "model_id": null, "vendor": "GovTech Singapore", "vendor_country": "Singapore", "status": "production", "date": null, "evidence_type": "government statement", "outcome_claims": "Used by tens of thousands of civil servants", "sources": [ "https://www.tech.gov.sg/about-us/what-we-do/govtech-role-in-digital-transformation-for-the-public-sector/ai-and-data-in-singapore-government/" ], "unverified": [] }, { "id": "govtech-vica", "organisation": "Singapore government agencies", "organisation_id": "govtech-singapore", "country": "Singapore", "sector": "public sector", "usecase": "pub-citizen-service-assistant", "model_or_product": "VICA conversational AI platform", "model_id": null, "vendor": "GovTech Singapore", "vendor_country": "Singapore", "status": "production", "date": null, "evidence_type": "government statement", "outcome_claims": "Powers chatbots in more than 60 agencies", "sources": [ "https://www.tech.gov.sg/about-us/what-we-do/govtech-role-in-digital-transformation-for-the-public-sector/ai-and-data-in-singapore-government/" ], "unverified": [] }, { "id": "grab-agent-platform", "organisation": "Grab", "organisation_id": "grab", "country": null, "sector": "retail and logistics", "usecase": "ret-operations-agents", "model_or_product": "Grab agent platform", "model_id": null, "vendor": "Grab", "vendor_country": "Singapore", "status": "production", "date": "2026-07-24", "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://engineering.grab.com/" ], "unverified": [] }, { "id": "grab-ekyc-vision-llm", "organisation": "Grab", "organisation_id": "grab", "country": "multi-country", "sector": "finance", "usecase": "fin-ekyc-document-extraction", "model_or_product": "Grab custom vision LLM about 1B", "model_id": "grab-custom-vision-llm-1b", "vendor": "Grab", "vendor_country": "Singapore", "status": "production", "date": "2025-11-04", "evidence_type": "company statement", "outcome_claims": "Serving live production traffic; covers Bahasa Indonesia, Thai, Vietnamese, English", "sources": [ "https://engineering.grab.com/custom-vision-llm-at-grab" ], "unverified": [] }, { "id": "grab-merchant-review-summary", "organisation": "Grab", "organisation_id": "grab", "country": null, "sector": "retail and logistics", "usecase": "ret-merchant-review-summarisation", "model_or_product": "Automated merchant review summary system", "model_id": null, "vendor": "Grab", "vendor_country": "Singapore", "status": "production", "date": "2026-09-25", "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://engineering.grab.com/" ], "unverified": [] }, { "id": "grab-property-personalisation", "organisation": "Grab", "organisation_id": "grab", "country": null, "sector": "retail and logistics", "usecase": "ret-recommendation-personalisation", "model_or_product": "Property-data personalisation (LLM enrichment plus hierarchical clustering)", "model_id": null, "vendor": "Grab", "vendor_country": "Singapore", "status": "production", "date": "2026-10-06", "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://engineering.grab.com/" ], "unverified": [] }, { "id": "grab-riskops-sop-agent", "organisation": "Grab", "organisation_id": "grab", "country": null, "sector": "retail and logistics", "usecase": "ret-operations-agents", "model_or_product": "SOP-driven LLM agent framework (RiskOps)", "model_id": null, "vendor": "Grab", "vendor_country": "Singapore", "status": "production", "date": "2025-05-08", "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://engineering.grab.com/" ], "unverified": [] }, { "id": "honeywell-google-cloud", "organisation": "Honeywell", "organisation_id": "honeywell", "country": "USA", "sector": "industrial", "usecase": "ind-industrial-copilots", "model_or_product": "Gemini on Vertex AI; Gemini Nano at the edge planned", "model_id": "google-deepmind-gemini", "vendor": "Google Cloud", "vendor_country": "USA", "status": "planned", "date": "2024-11-05", "evidence_type": "company statement", "outcome_claims": "First solutions due 2025; 2026 status unverified", "sources": [ "https://www.designnews.com/automation/honeywell-uses-google-cloud-ai-to-accelerate-autonomous-operations" ], "unverified": [] }, { "id": "hsbc-aml-ai", "organisation": "HSBC", "organisation_id": "hsbc", "country": "UK and Hong Kong", "sector": "finance", "usecase": "fin-aml-monitoring", "model_or_product": "Google Cloud AML AI", "model_id": "google-aml-ai", "vendor": "Google Cloud", "vendor_country": "USA", "status": "production", "date": "2023-11-30", "evidence_type": "company statement", "outcome_claims": "HSBC-reported: 2 to 4x suspicious activity found, 60% fewer alerts, detection 8 days after first alert (12 months post go-live vs prior 12 months); Celent Model Risk Manager of the Year 2023", "sources": [ "https://cloud.google.com/blog/topics/financial-services/how-hsbc-fights-money-launderers-with-artificial-intelligence", "https://services.google.com/fh/files/misc/hsbc_celent_model_risk_manager_of_the_year_2023.pdf" ], "unverified": [] }, { "id": "indosat-huawei-dioc", "organisation": "Indosat Ooredoo Hutchison", "organisation_id": "indosat", "country": "Indonesia", "sector": "telecom", "usecase": "tel-network-operations", "model_or_product": "Digital Intelligence Operations Center (Huawei solutions; product not stated)", "model_id": null, "vendor": "Huawei", "vendor_country": "China", "status": "production", "date": "2024-08-06", "evidence_type": "company statement", "outcome_claims": "Inaugurated", "sources": [ "https://www.lightreading.com/ai-machine-learning/indosat-ooredoo-hutchison-unveils-the-largest-digital-intelligence-operations-center-in-southeast-east-asia-marking-a-new-era-in-intelligence-native-telco" ], "unverified": [ "province", "model", "group" ] }, { "id": "indosat-nokia-ai-ran", "organisation": "Indosat Ooredoo Hutchison", "organisation_id": "indosat", "country": "Indonesia", "sector": "telecom", "usecase": "tel-network-operations", "model_or_product": "5G expansion and AI-RAN with Nokia and NVIDIA", "model_id": null, "vendor": "Nokia; NVIDIA", "vendor_country": "Finland / USA", "status": "planned", "date": "2026-06-10", "evidence_type": "company statement", "outcome_claims": "Plans", "sources": [ "https://telcomagazine.com/news/nokia-and-indosat-push-5g-and-ai-across-indonesia" ], "unverified": [ "province", "model" ] }, { "id": "indosat-sahabat-citizen-chatbot", "organisation": "Indosat Ooredoo Hutchison", "organisation_id": "indosat", "country": "Indonesia", "sector": "public sector", "usecase": "pub-citizen-service-assistant", "model_or_product": "Sahabat-AI in IOH chatbot; citizen services platform with Tech Mahindra", "model_id": "goto-llama3-8b-cpt-sahabatai-v1", "vendor": "GoTo, Indosat, AI Singapore; NVIDIA NeMo, NIM, NeMo Guardrails", "vendor_country": "Indonesia / Singapore", "status": "production", "date": "2024-11-13", "evidence_type": "company statement", "outcome_claims": "Answers citizen questions such as ID card updates and tax rates; platform for the government sovereign AI initiative", "sources": [ "https://blogs.nvidia.com/?p=75648" ], "unverified": [ "province", "model_id", "group" ], "model_named": "Sahabat-AI" }, { "id": "jakarta-ai-cctv-traffic", "organisation": "Pemerintah Provinsi DKI Jakarta", "organisation_id": "pemprov-dki-jakarta", "country": "Indonesia", "sector": "government", "usecase": "pub-smart-city-operations", "model_or_product": "CCTV with AI video analytics at congestion hotspots (model not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2025-08", "evidence_type": "government statement", "outcome_claims": "none stated", "sources": [ "https://govinsider.asia/intl-en/article/bidik-kota-global-jakarta-kembangkan-layanan-digital-citizen-centric" ], "unverified": [ "date", "city", "model", "vendor" ], "province": "DKI Jakarta" }, { "id": "jakarta-floodgate-ai-sensors", "organisation": "Pemerintah Provinsi DKI Jakarta", "organisation_id": "pemprov-dki-jakarta", "country": "Indonesia", "sector": "government", "usecase": "pub-smart-city-operations", "model_or_product": "AI-focused water level sensors at 13 floodgates feeding flood early warning and Pantau Banjir (model not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2025-08", "evidence_type": "government statement", "outcome_claims": "Sensor readings feed flood early warning and the Pantau Banjir platform in real time; no measured results", "sources": [ "https://govinsider.asia/intl-en/article/bidik-kota-global-jakarta-kembangkan-layanan-digital-citizen-centric" ], "unverified": [ "date", "city", "model", "vendor" ], "province": "DKI Jakarta" }, { "id": "jakarta-utara-genai-chatbot", "organisation": "Pemerintah Provinsi DKI Jakarta (Jakarta Utara pilot)", "organisation_id": "pemprov-dki-jakarta", "country": "Indonesia", "sector": "government", "usecase": "pub-citizen-service-assistant", "model_or_product": "Generative AI chatbot for public service information (model not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "pilot", "date": "2025-08", "evidence_type": "government statement", "outcome_claims": "none stated", "sources": [ "https://govinsider.asia/intl-en/article/bidik-kota-global-jakarta-kembangkan-layanan-digital-citizen-centric" ], "unverified": [ "date", "model", "vendor" ], "province": "DKI Jakarta", "city": "Jakarta Utara" }, { "id": "jaki-ai-misuse", "organisation": "Pemprov DKI Jakarta (JAKI app)", "organisation_id": "pemprov-dki-jakarta", "country": "Indonesia", "sector": "public sector", "usecase": "pub-citizen-report-handling", "model_or_product": "Not an official deployment; staff used AI (generative image tools implied) to fabricate follow-up evidence", "model_id": null, "vendor": "n/a", "vendor_country": null, "status": "misuse incident", "date": "2026-04-12", "evidence_type": "independent report", "outcome_claims": "Province banned AI for this purpose", "sources": [ "https://www.antaranews.com/berita/5522984/dki-sepekan-laporan-jaki-gunakan-ai-hingga-lebaran-betawi-2026" ], "unverified": [ "model" ], "province": "DKI Jakarta", "city": "Jakarta Timur" }, { "id": "jalin-fraud-ml", "organisation": "PT Jalin Pembayaran Nusantara", "organisation_id": "jalin", "country": "Indonesia", "sector": "finance", "usecase": "fin-fraud-detection", "model_or_product": "Jalin ML fraud detection (in development)", "model_id": null, "vendor": "In-house", "vendor_country": "Indonesia", "status": "planned", "date": "2025-10-22", "evidence_type": "company statement", "outcome_claims": "In development", "sources": [ "https://www.jalin.co.id/en-id/news/news/fraud-losses-reach-idr-46-trillion-jalin-strengthens-cyber-threat-detection-with-ai" ], "unverified": [ "model", "group" ], "province": "national" }, { "id": "jpmorgan-llm-suite", "organisation": "JPMorgan Chase", "organisation_id": "jpmorgan-chase", "country": "USA", "sector": "finance", "usecase": "fin-domain-llm", "model_or_product": "JPMorgan LLM Suite (OpenAI-powered per NBC)", "model_id": null, "vendor": "OpenAI", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "independent report", "outcome_claims": null, "sources": [ "https://www.nbcnews.com/business/business-news/jpmorgan-chase-giving-employees-ai-assistant-powered-chatgpt-maker-ope-rcna166045" ], "unverified": [ "model_or_product", "vendor", "status" ] }, { "id": "kalbe-morinaga-production-ai", "organisation": "PT Kalbe Morinaga Indonesia", "organisation_id": "kalbe-farma", "country": "Indonesia", "sector": "food and nutrition manufacturing", "usecase": "ind-process-optimisation", "model_or_product": "AI in production of children's nutrition products (partly developed independently)", "model_id": null, "vendor": "In-house plus machine suppliers", "vendor_country": null, "status": "production", "date": "2024-10", "evidence_type": "company statement", "outcome_claims": "Precision and food safety; detail not stated (secondary summary)", "sources": [ "https://kbvalbury.com/article/klbf-using-ai-to-produce-childrens-nutrition-products" ], "unverified": [ "province", "model" ], "group": "Kalbe Farma" }, { "id": "kalbe-nec-siat", "organisation": "PT Kalbe Farma Tbk", "organisation_id": "kalbe-farma", "country": "Indonesia", "sector": "pharma", "usecase": "ind-predictive-maintenance", "model_or_product": "System Invariant Analytics Technology (SIAT)", "model_id": "nec-siat", "vendor": "PT NEC Indonesia with Bogor Technology; NEC", "vendor_country": "Japan", "status": "proof of concept", "date": "2026-07-20", "evidence_type": "government statement", "outcome_claims": "Proof of concept Apr to Jun 2026, facilitated by Kemenperin PIDI 4.0; 2 of 3 targets met; Kalbe satisfaction 8/10", "sources": [ "https://suarapemerintah.id/2026/07/industri-farmasi-masuk-era-ai-kemenperin-fasilitasi-uji-coba-solusi-industri-4-0/" ], "unverified": [ "province", "vendor_country", "group" ], "model_named": "System Invariant Analytics Technology (SIAT)" }, { "id": "kasih-ibu-harrison", "organisation": "Kasih Ibu Hospitals (Bali)", "organisation_id": "kasih-ibu-hospital", "country": "Indonesia", "sector": "healthcare", "usecase": "hc-radiology-pathology-oncology", "model_or_product": "Harrison.ai radiology solution", "model_id": null, "vendor": "Harrison.ai", "vendor_country": "Australia", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "Rollout per search title only", "sources": [ "https://harrison.ai/news/indonesian-residents-and-tourists-set-to-benefit-from-harrisons-radiology-solution-rollout-at-kasih-ibu-hospitals/" ], "unverified": [ "status", "date", "model_id", "vendor_country" ], "province": "Bali", "city": "Denpasar; Kedonganan; Tabanan; Saba, Gianyar", "model_named": "Harrison.ai CXR solution; Harrison.ai CTB solution" }, { "id": "kemenkes-central-imaging-ai", "organisation": "Kementerian Kesehatan (Kemenkes), Pusdatin", "organisation_id": "kemenkes", "country": "Indonesia", "sector": "health", "usecase": "hc-radiology-report-generation", "model_or_product": "Central AI reading of images (e.g. MRI) from primary care facilities linked to SatuSehat (model not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "planned", "date": "2026-08-19", "evidence_type": "government statement", "outcome_claims": "Images from primary facilities would get a first AI reading centrally and be sent back to facilities short of doctors; nothing measured", "sources": [ "https://www.rctiplus.com/news/detail/terkini/5454872/kemenkes-siapkan-ai-yang-bertugas-baca-hasil-mri--ini-faktanya-" ], "unverified": [ "province", "model", "vendor" ], "group": "Kementerian Kesehatan" }, { "id": "kemenkes-diabetes-risk-ai", "organisation": "Kementerian Kesehatan (Kemenkes)", "organisation_id": "kemenkes", "country": "Indonesia", "sector": "health", "usecase": "hc-ehr-prediction", "model_or_product": "AI diabetes risk prediction to narrow mass screening (model not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "planned", "date": "2025-07-23", "evidence_type": "government statement", "outcome_claims": "Model would flag about 30 percent of roughly 90 million people as higher risk so screening budgets go further", "sources": [ "https://www.cnbcindonesia.com/lifestyle/20250723132657-33-651521/ri-krisis-dokter-kemenkes-andalkan-ai-untuk-tutup-kesenjangan" ], "unverified": [ "model", "vendor" ], "province": "national", "group": "Kementerian Kesehatan" }, { "id": "kemenkes-harrison-dharmais", "organisation": "Kemenkes; RS Kanker Dharmais", "organisation_id": "kemenkes", "country": "Indonesia", "sector": "healthcare", "usecase": "hc-radiology-pathology-oncology", "model_or_product": "Harrison.ai products (names not stated)", "model_id": null, "vendor": "Harrison.ai", "vendor_country": "Australia", "status": "pilot", "date": "2024-07-09", "evidence_type": "government statement", "outcome_claims": "MoU; clinical trials to evaluate; no outcome published", "sources": [ "https://kemkes.go.id/id/ai-mulai-wujudkan-efisiensi-pelayanan-kesehatan-indonesia", "https://disway.id/read/800395/kemenkes-australia-kerja-sama-terapkan-diagnosis-penyakit-memakai-ai", "https://id.wikipedia.org/wiki/Rumah_Sakit_Kanker_Dharmais" ], "unverified": [ "model", "kemkes.go.id" ], "province": "DKI Jakarta", "city": "Jakarta Barat", "group": "Kementerian Kesehatan" }, { "id": "kemenkes-harrison-mdjamil", "organisation": "Kemenkes; RSUP Dr. M. Djamil Padang", "organisation_id": "kemenkes", "country": "Indonesia", "sector": "healthcare", "usecase": "hc-chest-xray-tb-screening", "model_or_product": "Harrison.ai products (names not stated)", "model_id": null, "vendor": "Harrison.ai", "vendor_country": "Australia", "status": "pilot", "date": "2024-07-09", "evidence_type": "government statement", "outcome_claims": "MoU; clinical trials for TB screening on chest X-ray; no outcome published", "sources": [ "https://kemkes.go.id/id/ai-mulai-wujudkan-efisiensi-pelayanan-kesehatan-indonesia", "https://disway.id/read/800395/kemenkes-australia-kerja-sama-terapkan-diagnosis-penyakit-memakai-ai", "https://id.wikipedia.org/wiki/RSUP_Dr._M._Djamil" ], "unverified": [ "model", "kemkes.go.id" ], "province": "Sumatera Barat", "city": "Padang", "group": "Kementerian Kesehatan" }, { "id": "kemenkes-harrison-rspon", "organisation": "Kemenkes; RSPON Prof. Dr. dr. Mahar Mardjono Jakarta", "organisation_id": "kemenkes", "country": "Indonesia", "sector": "healthcare", "usecase": "hc-brain-ct-stroke", "model_or_product": "Harrison.ai products (names not stated)", "model_id": null, "vendor": "Harrison.ai", "vendor_country": "Australia", "status": "pilot", "date": "2024-07-09", "evidence_type": "government statement", "outcome_claims": "MoU; clinical trials to evaluate, continuation conditional on accuracy; no outcome published", "sources": [ "https://kemkes.go.id/id/ai-mulai-wujudkan-efisiensi-pelayanan-kesehatan-indonesia", "https://disway.id/read/800395/kemenkes-australia-kerja-sama-terapkan-diagnosis-penyakit-memakai-ai", "https://www.rspon.co.id/" ], "unverified": [ "model", "kemkes.go.id" ], "province": "DKI Jakarta", "city": "Jakarta Timur", "group": "Kementerian Kesehatan" }, { "id": "kemenkes-qure-fatmawati-rspon", "organisation": "Kemenkes; RS Fatmawati; RSPON", "organisation_id": "kemenkes", "country": "Indonesia", "sector": "healthcare", "usecase": "hc-chest-xray-tb-screening", "model_or_product": "Qure.ai (qXR named on vendor site; product name not stated in article)", "model_id": null, "vendor": "Qure.ai", "vendor_country": "India", "status": "pilot", "date": "2025-02-27", "evidence_type": "government statement", "outcome_claims": "Pilot at two hospitals with central reporting and teleradiology; expansion if successful; no outcome published", "sources": [ "https://www.metrotvnews.com/read/K5nC7m81-kemenkes-manfaatkan-kecerdasan-buatan-untuk-deteksi-tuberkulosis", "https://koran-jakarta.com/2025-03-02/kemenkes-siapkan-ai-untuk-deteksi-dini-tbc/amp", "https://id.wikipedia.org/wiki/Rumah_Sakit_Umum_Pusat_Fatmawati", "https://www.rspon.co.id/" ], "unverified": [ "model" ], "province": "DKI Jakarta", "city": "Jakarta Selatan; Jakarta Timur", "group": "Kementerian Kesehatan" }, { "id": "kemenkes-tbscreen-ai", "organisation": "Kemenkes TB programme with UGM, University of Melbourne, SAPDA, YPKMP", "organisation_id": "kemenkes", "country": "Indonesia", "sector": "healthcare", "usecase": "hc-chest-xray-tb-screening", "model_or_product": "TBScreen.AI", "model_id": "ugm-tbscreen-ai", "vendor": "UGM and University of Melbourne (KONEKSI-funded)", "vendor_country": "Indonesia / Australia", "status": "research", "date": "2026-08-03", "evidence_type": "government statement", "outcome_claims": "Sensitivity 83.16% reported; online version operable, offline planned", "sources": [ "https://www.antaranews.com/berita/5678115/kemenkes-teknologi-tbscreenai-mampu-tingkatkan-efisiensi-skrining-tb" ], "unverified": [ "province" ], "group": "Kementerian Kesehatan", "model_named": "TBScreen.AI" }, { "id": "kemenpar-indonesia-travel-ai", "organisation": "Ministry of Tourism", "organisation_id": "kemenpar", "country": "Indonesia", "sector": "public sector", "usecase": "pub-tourism-travel-planner", "model_or_product": "Indonesia.travel AI Travel Planner, Travel Companion, Command Centre", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "planned", "date": "2025-04-01", "evidence_type": "government statement", "outcome_claims": "AI phase due May 2025; live status unverified", "sources": [ "https://www.ttgasia.com/2025/04/01/indonesia-website-adopts-ai-integration-to-become-a-smart-travel-companion/" ], "unverified": [ "province", "model", "vendor" ], "group": "Kementerian Pariwisata" }, { "id": "komdigi-ai-gambling-content-crawling", "organisation": "Kementerian Komunikasi dan Digital (Komdigi)", "organisation_id": "komdigi", "country": "Indonesia", "sector": "government", "usecase": "pub-disinformation-content-detection", "model_or_product": "AI for crawling and verification of online gambling content (model not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2025-01-22", "evidence_type": "government statement", "outcome_claims": "No AI-specific figures; ministry reports 5,707,952 gambling content items handled from 2017 to January 2025 with a 113-person team", "sources": [ "https://inet.detik.com/law-and-policy/d-7744692/basmi-judol-komdigi-kerahkan-113-orang-dan-pakai-teknologi-ai/amp" ], "unverified": [ "province", "model", "vendor" ], "group": "Kementerian Komunikasi dan Digital" }, { "id": "komdigi-egov-superapp", "organisation": "Komdigi", "organisation_id": "komdigi", "country": "Indonesia", "sector": "public sector", "usecase": "pub-egov-services", "model_or_product": "Government e-Gov super-app (no AI model named)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "pilot", "date": "2024-12-04", "evidence_type": "government statement", "outcome_claims": "Beta with about 40,000 civil service users", "sources": [ "https://www.medcom.id/teknologi/news-teknologi/0KvYgopk-komdigi-fasilitas-penerapan-ai-untuk-layanan-publik" ], "unverified": [ "province", "model", "vendor" ], "group": "Kementerian Komunikasi dan Digital" }, { "id": "komdigi-gambit-hunter", "organisation": "Kementerian Komunikasi dan Digital (Komdigi)", "organisation_id": "komdigi", "country": "Indonesia", "sector": "government", "usecase": "fin-aml-monitoring", "model_or_product": "Gambit Hunter AI to trace online gambling payment infrastructure", "model_id": null, "vendor": "Gambit Hunter", "vendor_country": "Indonesia", "status": "planned", "date": "2026-04-13", "evidence_type": "government statement", "outcome_claims": "none stated; the minister hopes the meeting leads to more concrete cooperation", "sources": [ "https://katadata.co.id/amp/digital/teknologi/69dc496b501c3/komdigi-gandeng-startup-ai-telusuri-dana-judol" ], "unverified": [ "province", "vendor_country", "model" ], "group": "Kementerian Komunikasi dan Digital" }, { "id": "korlantas-bandung-smart-road-safety", "organisation": "Korlantas Polri", "organisation_id": "polri", "country": "Indonesia", "sector": "government", "usecase": "pub-smart-city-operations", "model_or_product": "Smart Road Safety Policing: 200 AI-integrated CCTV cameras for traffic density and bottleneck detection (model not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2025-11-12", "evidence_type": "government statement", "outcome_claims": "No results yet; police target 95 percent of enforcement through ETLE", "sources": [ "https://inp.polri.go.id/artikel/traffic-corps-install-200-ai-integrated-cctv-cameras-in-bandung-to-boost-traffic-safety" ], "unverified": [ "model", "vendor" ], "province": "Jawa Barat", "city": "Bandung", "group": "Polri" }, { "id": "korlantas-etle-face-recognition", "organisation": "Korlantas Polri (Traffic Corps, Indonesian National Police)", "organisation_id": "polri", "country": "Indonesia", "sector": "government", "usecase": "pub-police-identification-video-analytics", "model_or_product": "Face recognition on ETLE cameras matched against Dukcapil population data (model not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2026-08-05", "evidence_type": "government statement", "outcome_claims": "Aims to identify riders with fake, covered or missing plates; ETLE recorded 16,812 plate-related violations in the first half of 2026", "sources": [ "https://www.antaranews.com/berita/5680351/korlantas-terapkan-face-recognition-pada-etle" ], "unverified": [ "province", "model", "vendor" ], "group": "Polri" }, { "id": "kpu-sirekap-ocr", "organisation": "Komisi Pemilihan Umum (KPU)", "organisation_id": "kpu", "country": "Indonesia", "sector": "government", "usecase": "pub-document-processing", "model_or_product": "Sirekap OCR reading of polling station result forms (Form C.Hasil)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2024-03-04", "evidence_type": "independent report", "outcome_claims": "No benefit claimed. KPU said a jump in PSI's Sirekap vote share came from OCR misreading photos of result forms, not vote inflation", "sources": [ "https://tirto.id/kpu-bantah-penggelembungan-suara-psi-di-sirekap-kesalahan-ocr-gWxZ", "https://www.goodnewsfromindonesia.id/2024/02/13/mengenal-sirekap-alat-bantu-hitung-pemungutan-suara-pemilu-2024", "https://www.nu.or.id/nasional/koreksi-data-sirekap-kpu-telah-lakukan-perbaikan-di-74-ribu-tps-b8wSk" ], "unverified": [ "model", "vendor", "tirto.id" ], "province": "national" }, { "id": "kredivo-credit-scoring", "organisation": "Kredivo (FinAccel)", "organisation_id": "kredivo", "country": "Indonesia", "sector": "finance", "usecase": "fin-credit-scoring", "model_or_product": "In-house ML credit scoring with traditional and alternative data", "model_id": null, "vendor": "In-house", "vendor_country": "Indonesia / Singapore", "status": "production", "date": "2021-01-07", "evidence_type": "company statement", "outcome_claims": "Over 500,000 users scored per month", "sources": [ "https://keuangan.kontan.co.id/news/jaga-kualitas-pinjaman-credit-scoring-kredivo-analisa-500000-pengguna-per-bulan" ], "unverified": [ "province", "model", "group" ] }, { "id": "lat-trisakti-aix-vision", "organisation": "PT LAT Trisakti (no named client)", "organisation_id": "lat-trisakti", "country": "Indonesia", "sector": "agriculture", "usecase": "ag-plantation-monitoring", "model_or_product": "mySAP365 AIX vision AI (nursery assessment, stand census, crop health, yield forecast, FFB inspection; on-premises)", "model_id": null, "vendor": "PT LAT Trisakti", "vendor_country": "Indonesia", "status": "planned", "date": "2026-08-12", "evidence_type": "company statement", "outcome_claims": "Being developed; vendor says analysis still needs validation against field conditions", "sources": [ "https://www.palmoilmagazine.com/technology/2026/08/12/vision-ai-transforms-palm-oil-monitoring-from-nursery-to-harvest/" ], "unverified": [ "province", "model" ] }, { "id": "lg-chem-exaone-naphtha", "organisation": "LG Chem", "organisation_id": "lg-chem", "country": "South Korea", "sector": "chemicals", "usecase": "ind-process-optimisation", "model_or_product": "EXAONE Naphtha (multi-agent RL naphtha cracking scheduling)", "model_id": "lg-ai-research-exaone", "vendor": "LG AI Research", "vendor_country": "South Korea", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://www.lgresearch.ai/exaone" ], "unverified": [ "status", "organisation" ] }, { "id": "ma-smart-majelis", "organisation": "Mahkamah Agung (Supreme Court of Indonesia)", "organisation_id": "mahkamah-agung", "country": "Indonesia", "sector": "government", "usecase": "pub-court-case-administration", "model_or_product": "Smart Majelis (Smart Panel) AI-based assignment of judge panels (model not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2025-01-16", "evidence_type": "government statement", "outcome_claims": "Expected fewer bribery risks, more objective appointments and more public trust; no measured results", "sources": [ "https://literasihukum.com/en/news/the-supreme-court-implements-the-smart-panel-system.md", "https://kupang.antaranews.com/berita/154317/ma-menyiapkan-smart-majelis-di-seluruh-pengadilan" ], "unverified": [ "model", "vendor", "literasihukum.com", "province" ], "province": "national" }, { "id": "mandiri-ai", "organisation": "Bank Mandiri", "organisation_id": "bank-mandiri", "country": "Indonesia", "sector": "finance", "usecase": "fin-fraud-detection", "model_or_product": "AI in transaction verification and product development (not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2024-07-31", "evidence_type": "company statement", "outcome_claims": "Applied for several years per IT Director", "sources": [ "https://investortrust.id/financial/35913/ini-tiga-jurus-sukses-bank-mandiri-terapkan-artificial-intelligence" ], "unverified": [ "province", "model", "group" ] }, { "id": "masai-transpara-sweden", "organisation": "MASAI trial", "organisation_id": "lund-university", "country": "Sweden", "sector": "healthcare", "usecase": "hc-mammography-cancer-detection", "model_or_product": "Transpara", "model_id": "screenpoint-medical-transpara", "vendor": "ScreenPoint Medical", "vendor_country": "Netherlands", "status": "research", "date": null, "evidence_type": "academic paper", "outcome_claims": "Not available; source failed to load", "sources": [ "https://www.thelancet.com/journals/lanonc/article/PIIS1470-2045(23)00298-X/fulltext" ], "unverified": [ "model_or_product", "status" ] }, { "id": "mastercard-dipro-issuers", "organisation": "Mastercard issuers", "organisation_id": "mastercard", "country": "global", "sector": "finance", "usecase": "fin-fraud-detection", "model_or_product": "Decision Intelligence Pro", "model_id": "mastercard-decision-intelligence-pro", "vendor": "Mastercard", "vendor_country": "USA", "status": "production", "date": "2024-02", "evidence_type": "company statement", "outcome_claims": "Claimed average 20% detection uplift, up to 300%", "sources": [ "https://www.cdomagazine.tech/aiml/mastercard-launches-decision-intelligence-pro-new-generative-ai-model-for-fraud-detection" ], "unverified": [] }, { "id": "mind-id-exploration-ai", "organisation": "MIND ID group", "organisation_id": "mind-id", "country": "Indonesia", "sector": "mining", "usecase": "em-mineral-exploration", "model_or_product": "Satellite-supported AI for subsurface estimation (not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "pilot", "date": "2026-09-09", "evidence_type": "company statement", "outcome_claims": "Described as supporting; status not stated", "sources": [ "https://en.antaranews.com/news/430657/mind-id-leverages-ai-to-boost-safety-mining-operations" ], "unverified": [ "province", "model", "vendor" ], "group": "MIND ID" }, { "id": "nih-trialgpt-pilot", "organisation": "NIH", "organisation_id": "nih", "country": "USA", "sector": "healthcare", "usecase": "hc-clinical-trial-matching", "model_or_product": "TrialGPT", "model_id": "nih-nlm-trialgpt", "vendor": "NIH NLM", "vendor_country": "USA", "status": "pilot", "date": null, "evidence_type": "government statement", "outcome_claims": "Clinicians spent 40% less screening time in a pilot", "sources": [ "https://www.nih.gov/news-events/news-releases/nih-developed-ai-algorithm-matches-potential-volunteers-clinical-trials" ], "unverified": [] }, { "id": "nyu-langone-nyutron", "organisation": "NYU Langone", "organisation_id": "nyu-langone", "country": "USA", "sector": "healthcare", "usecase": "hc-ehr-prediction", "model_or_product": "NYUTron", "model_id": "nyu-langone-nyutron", "vendor": "NYU Langone", "vendor_country": "USA", "status": "research", "date": "2022-01", "evidence_type": "academic paper", "outcome_claims": "Prospective trial over 29,286 discharges via EHR (HL7 FHIR), Jan to Apr 2022; prospective readmission AUC 78.70%", "sources": [ "https://www.nature.com/articles/s41586-023-06160-y" ], "unverified": [] }, { "id": "openai-api-builder-abridge", "organisation": "Abridge", "organisation_id": "abridge", "country": null, "sector": "healthcare", "usecase": "hc-ambient-scribing", "model_or_product": "OpenAI for Healthcare API", "model_id": "openai-gpt-5-2", "vendor": "OpenAI", "vendor_country": "USA", "status": "production", "date": "2026-01-08", "evidence_type": "company statement", "outcome_claims": "Named as API builder", "sources": [ "https://openai.com/index/openai-for-healthcare/" ], "unverified": [] }, { "id": "openai-api-builder-ambience", "organisation": "Ambience", "organisation_id": "ambience", "country": null, "sector": "healthcare", "usecase": "hc-ambient-scribing", "model_or_product": "OpenAI for Healthcare API", "model_id": "openai-gpt-5-2", "vendor": "OpenAI", "vendor_country": "USA", "status": "production", "date": "2026-01-08", "evidence_type": "company statement", "outcome_claims": "Named as API builder", "sources": [ "https://openai.com/index/openai-for-healthcare/" ], "unverified": [] }, { "id": "openai-api-builder-eliseai", "organisation": "EliseAI", "organisation_id": "eliseai", "country": null, "sector": "healthcare", "usecase": "hc-clinical-llm-frontier", "model_or_product": "OpenAI for Healthcare API", "model_id": "openai-gpt-5-2", "vendor": "OpenAI", "vendor_country": "USA", "status": "production", "date": "2026-01-08", "evidence_type": "company statement", "outcome_claims": "Named as API builder", "sources": [ "https://openai.com/index/openai-for-healthcare/" ], "unverified": [] }, { "id": "openai-for-healthcare-adventhealth", "organisation": "AdventHealth", "organisation_id": "adventhealth", "country": "USA", "sector": "healthcare", "usecase": "hc-clinical-llm-frontier", "model_or_product": "ChatGPT for Healthcare / OpenAI for Healthcare", "model_id": "openai-gpt-5-2", "vendor": "OpenAI", "vendor_country": "USA", "status": "production", "date": "2026-01-08", "evidence_type": "company statement", "outcome_claims": "Rolling out OpenAI for Healthcare (runs on GPT-5.2)", "sources": [ "https://openai.com/index/openai-for-healthcare/", "https://en.wikipedia.org/wiki/AdventHealth" ], "unverified": [] }, { "id": "openai-for-healthcare-baylor-scott-white", "organisation": "Baylor Scott & White", "organisation_id": "baylor-scott-white", "country": "USA", "sector": "healthcare", "usecase": "hc-clinical-llm-frontier", "model_or_product": "ChatGPT for Healthcare / OpenAI for Healthcare", "model_id": "openai-gpt-5-2", "vendor": "OpenAI", "vendor_country": "USA", "status": "production", "date": "2026-01-08", "evidence_type": "company statement", "outcome_claims": "Rolling out OpenAI for Healthcare (runs on GPT-5.2)", "sources": [ "https://openai.com/index/openai-for-healthcare/", "https://en.wikipedia.org/wiki/Baylor_Scott_%26_White_Health" ], "unverified": [] }, { "id": "openai-for-healthcare-boston-childrens", "organisation": "Boston Children's", "organisation_id": "boston-childrens-hospital", "country": "USA", "sector": "healthcare", "usecase": "hc-clinical-llm-frontier", "model_or_product": "ChatGPT for Healthcare / OpenAI for Healthcare", "model_id": "openai-gpt-5-2", "vendor": "OpenAI", "vendor_country": "USA", "status": "production", "date": "2026-01-08", "evidence_type": "company statement", "outcome_claims": "Rolling out OpenAI for Healthcare (runs on GPT-5.2)", "sources": [ "https://openai.com/index/openai-for-healthcare/", "https://en.wikipedia.org/wiki/Boston_Children's_Hospital" ], "unverified": [] }, { "id": "openai-for-healthcare-cedars-sinai", "organisation": "Cedars-Sinai", "organisation_id": "cedars-sinai", "country": "USA", "sector": "healthcare", "usecase": "hc-clinical-llm-frontier", "model_or_product": "ChatGPT for Healthcare / OpenAI for Healthcare", "model_id": "openai-gpt-5-2", "vendor": "OpenAI", "vendor_country": "USA", "status": "production", "date": "2026-01-08", "evidence_type": "company statement", "outcome_claims": "Rolling out OpenAI for Healthcare (runs on GPT-5.2)", "sources": [ "https://openai.com/index/openai-for-healthcare/", "https://en.wikipedia.org/wiki/Cedars-Sinai_Medical_Center" ], "unverified": [] }, { "id": "openai-for-healthcare-hca", "organisation": "HCA", "organisation_id": "hca-healthcare", "country": "USA", "sector": "healthcare", "usecase": "hc-clinical-llm-frontier", "model_or_product": "ChatGPT for Healthcare / OpenAI for Healthcare", "model_id": "openai-gpt-5-2", "vendor": "OpenAI", "vendor_country": "USA", "status": "production", "date": "2026-01-08", "evidence_type": "company statement", "outcome_claims": "Rolling out OpenAI for Healthcare (runs on GPT-5.2)", "sources": [ "https://openai.com/index/openai-for-healthcare/", "https://en.wikipedia.org/wiki/HCA_Healthcare" ], "unverified": [] }, { "id": "openai-for-healthcare-memorial-sloan-kettering", "organisation": "Memorial Sloan Kettering", "organisation_id": "memorial-sloan-kettering", "country": "USA", "sector": "healthcare", "usecase": "hc-clinical-llm-frontier", "model_or_product": "ChatGPT for Healthcare / OpenAI for Healthcare", "model_id": "openai-gpt-5-2", "vendor": "OpenAI", "vendor_country": "USA", "status": "production", "date": "2026-01-08", "evidence_type": "company statement", "outcome_claims": "Rolling out OpenAI for Healthcare (runs on GPT-5.2)", "sources": [ "https://openai.com/index/openai-for-healthcare/", "https://en.wikipedia.org/wiki/Memorial_Sloan_Kettering_Cancer_Center" ], "unverified": [] }, { "id": "openai-for-healthcare-stanford-medicine-childrens-health", "organisation": "Stanford Medicine Children's Health", "organisation_id": "stanford-medicine-childrens-health", "country": "USA", "sector": "healthcare", "usecase": "hc-clinical-llm-frontier", "model_or_product": "ChatGPT for Healthcare / OpenAI for Healthcare", "model_id": "openai-gpt-5-2", "vendor": "OpenAI", "vendor_country": "USA", "status": "production", "date": "2026-01-08", "evidence_type": "company statement", "outcome_claims": "Rolling out OpenAI for Healthcare (runs on GPT-5.2)", "sources": [ "https://openai.com/index/openai-for-healthcare/", "https://en.wikipedia.org/wiki/Lucile_Packard_Children's_Hospital" ], "unverified": [] }, { "id": "openai-for-healthcare-ucsf", "organisation": "UCSF", "organisation_id": "ucsf", "country": "USA", "sector": "healthcare", "usecase": "hc-clinical-llm-frontier", "model_or_product": "ChatGPT for Healthcare / OpenAI for Healthcare", "model_id": "openai-gpt-5-2", "vendor": "OpenAI", "vendor_country": "USA", "status": "production", "date": "2026-01-08", "evidence_type": "company statement", "outcome_claims": "Rolling out OpenAI for Healthcare (runs on GPT-5.2)", "sources": [ "https://openai.com/index/openai-for-healthcare/", "https://en.wikipedia.org/wiki/University_of_California,_San_Francisco" ], "unverified": [] }, { "id": "palmco-ffb-benchmark", "organisation": "PTPN IV PalmCo", "organisation_id": "ptpn-iv-palmco", "country": "Indonesia", "sector": "agriculture", "usecase": "ag-ffb-ripeness-grading", "model_or_product": "Benchmark of the PGK FFB grading system", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "planned", "date": "2025-09-24", "evidence_type": "company statement", "outcome_claims": "Benchmark visit for possible rollout to PalmCo mills; no PalmCo deployment stated", "sources": [ "https://www.palmoilmagazine.com/palmco/2025/10/02/palmco-ptpn-4-benchmarks-ai-powered-ffb-grading-system-at-pgk-jambi-mill/", "https://koran-jakarta.com/2026-02-15/antisipasi-karhutla-ptpn-iv-palmco-gandeng-tni-polri-operasikan-teknologi-deteksi-titik-panas-berbasis-ai/amp" ], "unverified": [ "province", "model" ], "group": "PTPN III (Persero)" }, { "id": "palmco-mysap365-aix-training", "organisation": "PTPN IV PalmCo (Regional 1 to 7 staff)", "organisation_id": "ptpn-iv-palmco", "country": "Indonesia", "sector": "agriculture", "usecase": "ag-plantation-monitoring", "model_or_product": "mySAP365 AIX training (Batch 3)", "model_id": null, "vendor": "PT LAT Trisakti with LPP Agro Nusantara", "vendor_country": "Indonesia", "status": "planned", "date": "2026-07-22", "evidence_type": "company statement", "outcome_claims": "Training on AI and ML for plantation decision support; not a production deployment", "sources": [ "https://www.en.infosawit.com/news/18111/palmco-advances-ai-driven-decision-making-through-mysap365-aix-training", "https://en.wikipedia.org/wiki/List_of_regencies_and_cities_of_Indonesia", "https://koran-jakarta.com/2026-02-15/antisipasi-karhutla-ptpn-iv-palmco-gandeng-tni-polri-operasikan-teknologi-deteksi-titik-panas-berbasis-ai/amp" ], "unverified": [ "model" ], "province": "Sumatera Utara", "city": "Medan", "group": "PTPN III (Persero)" }, { "id": "pemkot-bogor-stunting-chatbot", "organisation": "Pemerintah Kota Bogor", "organisation_id": "pemkot-bogor", "country": "Indonesia", "sector": "government", "usecase": "pub-citizen-service-assistant", "model_or_product": "Chatbot Penanganan Stunting, AI-based (model not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2024-12-05", "evidence_type": "government statement", "outcome_claims": "none stated for the chatbot", "sources": [ "https://megapolitan.antaranews.com/berita/324557/pemkot-bogor-luncurkan-aplikasi-chatbot-penanganan-stunting" ], "unverified": [ "model", "vendor" ], "province": "Jawa Barat", "city": "Kota Bogor" }, { "id": "pepsico-siemens-digital-twin", "organisation": "PepsiCo", "organisation_id": "pepsico", "country": "USA", "sector": "manufacturing", "usecase": "ind-digital-twins", "model_or_product": "Siemens Digital Twin Composer (Omniverse-based)", "model_id": null, "vendor": "Siemens", "vendor_country": "Germany", "status": "production", "date": "2026", "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://via.tt.se/pressmeddelande/4202605/siemens-unveils-technologies-to-accelerate-the-industrial-ai-revolution-at-ces-2026%3FpublisherId%3D259167%26lang%3Den" ], "unverified": [] }, { "id": "pertamina-fpt-inspection", "organisation": "Pertamina (PHE Offshore Southeast Sumatra; Pertamina Drilling Services Indonesia; Pertamina Marine Engineering; Pertamina Trans Kontinental)", "organisation_id": "pertamina", "country": "Indonesia", "sector": "oil and gas", "usecase": "em-oil-gas-platform-inspection", "model_or_product": "AI-Based Monitoring and Inspection System for Oil and Gas Platforms (model not stated)", "model_id": null, "vendor": "FPT", "vendor_country": "Vietnam", "status": "contract signed", "date": "2025-03-10", "evidence_type": "company statement", "outcome_claims": "Partnership; will be deployed", "sources": [ "https://vir.com.vn/fpt-offers-ai-to-indonesias-largest-oil-company-pertamina-124294.html" ], "unverified": [ "province", "model" ], "group": "Pertamina" }, { "id": "pfizer-boltz", "organisation": "Pfizer", "organisation_id": "pfizer", "country": null, "sector": "pharma and life sciences", "usecase": "hc-protein-structure", "model_or_product": "Boltz models fine-tuned on Pfizer data", "model_id": null, "vendor": "Boltz PBC", "vendor_country": "USA / UK", "status": "contract signed", "date": "2026-01-08", "evidence_type": "company statement", "outcome_claims": "Pfizer owns the compounds", "sources": [ "https://intuitionlabs.ai/articles/open-source-ai-drug-discovery-boltz-pfizer", "https://boltz.bio/gsk-partnership" ], "unverified": [] }, { "id": "pgk-jambi-ffb-grading", "organisation": "PKS PGK Jambi (palm oil mill; owner not stated)", "organisation_id": null, "country": "Indonesia", "sector": "agriculture", "usecase": "ag-ffb-ripeness-grading", "model_or_product": "AI-based FFB grading system integrated with mySAP365 (model not stated)", "model_id": null, "vendor": "mySAP365 Agrobusiness ERP platform; developer not stated", "vendor_country": null, "status": "production", "date": "2025-09-24", "evidence_type": "company statement", "outcome_claims": "Implemented at the mill per PalmCo release; audit trail from weighbridge to payment; PalmCo called it suitable for replication", "sources": [ "https://www.palmoilmagazine.com/palmco/2025/10/02/palmco-ptpn-4-benchmarks-ai-powered-ffb-grading-system-at-pgk-jambi-mill/" ], "unverified": [ "organisation", "vendor", "province", "model", "group" ] }, { "id": "pln-customer-service-ai", "organisation": "PLN", "organisation_id": "pln", "country": "Indonesia", "sector": "energy", "usecase": "em-utility-customer-service", "model_or_product": "AI for customer service (not stated)", "model_id": null, "vendor": "PLN Icon Plus", "vendor_country": "Indonesia", "status": "production", "date": "2023-08-24", "evidence_type": "company statement", "outcome_claims": "Statement of use; specifics not stated", "sources": [ "https://www.metrotvnews.com/read/KXyC977o-pln-gunakan-kecerdasan-buatan-untuk-layani-pelanggan" ], "unverified": [ "province", "model", "group" ] }, { "id": "prudential-indonesia-ai", "organisation": "Prudential Indonesia", "organisation_id": "prudential-indonesia", "country": "Indonesia", "sector": "insurance", "usecase": "fin-insurance-claims", "model_or_product": "AI for customer profiling and claims analysis against policy terms", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2026-08-06", "evidence_type": "company statement", "outcome_claims": "Applied per Chief Digital and Technology Officer", "sources": [ "https://keuangan.kontan.co.id/news/prudential-indonesia-terapkan-ai-mulai-sisi-operasional-hingga-pengelolaan-risiko" ], "unverified": [ "province", "model", "vendor" ] }, { "id": "qure-ai-global", "organisation": "Qure.ai customers (not itemised)", "organisation_id": null, "country": "global", "sector": "healthcare", "usecase": "hc-chest-xray-tb-screening", "model_or_product": "qXR", "model_id": "qure-ai-qxr", "vendor": "Qure.ai", "vendor_country": "India", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "105+ countries, 5,500+ sites (vendor claim); which ASEAN countries not stated", "sources": [ "https://www.qure.ai/" ], "unverified": [] }, { "id": "rockwell-ft-optix-phi", "organisation": "Rockwell", "organisation_id": "rockwell-automation", "country": null, "sector": "manufacturing", "usecase": "ind-industrial-copilots", "model_or_product": "FT Optix Food & Beverage (Phi-family SLM, asset troubleshooting)", "model_id": "microsoft-phi", "vendor": "Microsoft", "vendor_country": "USA", "status": "production", "date": "2024-11-13", "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://blogs.microsoft.com/blog/2024/11/13/microsoft-introduces-new-adapted-ai-models-for-industry/" ], "unverified": [] }, { "id": "semen-tonasa-expert-optimizer", "organisation": "PT Semen Tonasa (SIG group)", "organisation_id": "semen-tonasa", "country": "Indonesia", "sector": "cement", "usecase": "ind-process-optimisation", "model_or_product": "Expert Optimizer (model predictive control) and TEMC AI-based energy management centre", "model_id": null, "vendor": "Not named in source (product name matches ABB Ability Expert Optimizer: unverified)", "vendor_country": null, "status": "production", "date": "2024-02-21", "evidence_type": "company statement", "outcome_claims": "Up to 3.18% capacity gain and 4,899 TJ energy saving claimed; designated Industry 4.0 National Lighthouse by the Ministry of Industry", "sources": [ "https://sig.id/en/pemerintah-nobatkan-dua-anak-usaha-sig-sebagai-national-lighthouse-industri-40-atas-keberhasilan-transformasi-digital" ], "unverified": [ "province", "vendor", "model" ], "group": "SIG" }, { "id": "shandong-energy-pangu", "organisation": "Shandong Energy", "organisation_id": "shandong-energy", "country": "China", "sector": "mining", "usecase": "ind-visual-inspection", "model_or_product": "Pangu Mine Model", "model_id": "huawei-pangu-mine-model", "vendor": "Huawei", "vendor_country": "China", "status": "production", "date": "2023", "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://www.mining-technology.com/newsletters/huaweis-pangu-5-5-ai-intelligent-mining-in-action" ], "unverified": [] }, { "id": "shenzhen-energy-pangu", "organisation": "Shenzhen Energy Group", "organisation_id": "shenzhen-energy", "country": "China", "sector": "energy", "usecase": "ind-energy-optimisation", "model_or_product": "Huawei Pangu Prediction Model", "model_id": "huawei-pangu-prediction-model", "vendor": "Huawei", "vendor_country": "China", "status": "production", "date": "2025-06-23", "evidence_type": "company statement", "outcome_claims": "Wind and solar yield forecasting", "sources": [ "https://aimagazine.com/articles/how-huawei-pangu-5-5-ai-models-transform-industry-operations" ], "unverified": [] }, { "id": "siemens-erlangen-factory", "organisation": "Siemens Erlangen electronics factory", "organisation_id": "siemens", "country": "Germany", "sector": "manufacturing", "usecase": "ind-industrial-copilots", "model_or_product": "Siemens AI-driven adaptive manufacturing", "model_id": null, "vendor": "Siemens", "vendor_country": "Germany", "status": "planned", "date": "2026-01-06", "evidence_type": "company statement", "outcome_claims": "Planned as the first AI-driven adaptive manufacturing site in 2026", "sources": [ "https://via.tt.se/pressmeddelande/4202605/siemens-unveils-technologies-to-accelerate-the-industrial-ai-revolution-at-ces-2026%3FpublisherId%3D259167%26lang%3Den" ], "unverified": [] }, { "id": "sight-machine-phi", "organisation": "Sight Machine", "organisation_id": "sight-machine", "country": "USA", "sector": "manufacturing", "usecase": "ind-industrial-copilots", "model_or_product": "Factory Namespace Manager (Phi-family adapted SLM)", "model_id": "microsoft-phi", "vendor": "Microsoft", "vendor_country": "USA", "status": "production", "date": "2024-11-13", "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://blogs.microsoft.com/blog/2024/11/13/microsoft-introduces-new-adapted-ai-models-for-industry/" ], "unverified": [] }, { "id": "siloam-bot-md", "organisation": "Siloam Hospitals", "organisation_id": "siloam-hospitals", "country": "Indonesia", "sector": "healthcare", "usecase": "hc-patient-engagement", "model_or_product": "Bot MD AI agents (WhatsApp patient engagement)", "model_id": null, "vendor": "Bot MD", "vendor_country": "Singapore", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://www.botmd.io/en/blog/siloam-hospitals-improve-quality-of-care-and-patient-outcomes-through-ai-powered-whatsapp" ], "unverified": [ "status", "vendor_country", "province", "model" ] }, { "id": "siloam-philips", "organisation": "Siloam Hospitals Group; UPH Medical Sciences Group", "organisation_id": "siloam-hospitals", "country": "Indonesia", "sector": "healthcare", "usecase": "hc-radiology-pathology-oncology", "model_or_product": "Philips AI (products not stated) in radiology, pathology, cardiology, clinical operations, telemedicine, EMR, remote monitoring", "model_id": null, "vendor": "Philips", "vendor_country": "Netherlands", "status": "contract signed", "date": "2024-10-07", "evidence_type": "company statement", "outcome_claims": "MoU; intends to introduce", "sources": [ "https://www.aap.com.au/aapreleases/globenewswire1000995993/" ], "unverified": [ "province", "model", "group" ] }, { "id": "sinar-mas-optra-pilots", "organisation": "Sinar Mas Agribusiness and Food (PT SMART Tbk; GAR)", "organisation_id": "sinar-mas-smart", "country": "Indonesia", "sector": "agriculture", "usecase": "ag-plantation-monitoring", "model_or_product": "AI Interrow Inspection, Smart Grading TPH, Smart Manuring, Smart Step Harvesting (in-house OPTRA; TensorFlow, PyTorch, OpenCV)", "model_id": null, "vendor": "In-house", "vendor_country": "Indonesia", "status": "pilot", "date": "2026-01", "evidence_type": "job advertisement", "outcome_claims": "Pilot estates; AI implementation and rollout planned (weak evidence)", "sources": [ "https://dealls.com/en/loker/ai-development-intern-optra-internship~pt-smart-tbk" ], "unverified": [ "province", "model" ], "group": "Golden Agri-Resources (Sinar Mas)" }, { "id": "sinar-mas-sap-erp", "organisation": "Sinar Mas group", "organisation_id": "sinar-mas-smart", "country": "Indonesia", "sector": "agriculture", "usecase": "ag-plantation-monitoring", "model_or_product": "SAP Cloud ERP (RISE) as base for future AI", "model_id": null, "vendor": "SAP", "vendor_country": "Germany", "status": "planned", "date": "2024-05-24", "evidence_type": "company statement", "outcome_claims": "ERP migration; AI described as future", "sources": [ "https://m.jpnn.com/news/genjot-transformasi-digital-sinar-mas-gunakan-teknologi-ai" ], "unverified": [ "province", "model" ], "group": "Sinar Mas" }, { "id": "smart-terra-drone-fertiliser", "organisation": "Sinar Mas Agro Resources and Technology (SMART Tbk)", "organisation_id": "sinar-mas-smart", "country": "Indonesia", "sector": "agriculture", "usecase": "ag-precision-fertiliser", "model_or_product": "Terra Agri service, DJI Agras T40 (AI not stated)", "model_id": null, "vendor": "Terra Drone Indonesia", "vendor_country": "Indonesia / Japan", "status": "production", "date": "2024-03-21", "evidence_type": "company statement", "outcome_claims": "Over 60,000 ha in Kalimantan and Bangka Belitung", "sources": [ "https://terra-drone.net/global/2024/03/21/terra-agri-service-by-terra-drone-indonesia-and-sinar-mas-group-smart-tbk-digitizes-palm-oil-fertilizer-management-this-collaboration-aims-to-digitalize-the-fertilizer-process-to-re/" ], "unverified": [ "province", "model" ], "province": "multi-province", "group": "Sinar Mas", "provinces": [ "Kalimantan (provinces not named)", "Kepulauan Bangka Belitung" ] }, { "id": "synapxe-ace-ai", "organisation": "Synapxe (Singapore public healthcare)", "organisation_id": "synapxe", "country": "Singapore", "sector": "healthcare", "usecase": "hc-ehr-prediction", "model_or_product": "ACE-AI", "model_id": "synapxe-ace-ai", "vendor": "Synapxe", "vendor_country": "Singapore", "status": "production", "date": null, "evidence_type": "government statement", "outcome_claims": "Listed by Synapxe; no dates given", "sources": [ "https://www.synapxe.sg/healthtech/health-ai" ], "unverified": [] }, { "id": "synapxe-asar", "organisation": "Synapxe (Singapore public healthcare)", "organisation_id": "synapxe", "country": "Singapore", "sector": "healthcare", "usecase": "hc-pharmacovigilance", "model_or_product": "ASAR", "model_id": "synapxe-asar", "vendor": "Synapxe", "vendor_country": "Singapore", "status": "production", "date": null, "evidence_type": "government statement", "outcome_claims": "Listed by Synapxe; no dates given", "sources": [ "https://www.synapxe.sg/healthtech/health-ai" ], "unverified": [] }, { "id": "synapxe-cape", "organisation": "Synapxe (Singapore public healthcare)", "organisation_id": "synapxe", "country": "Singapore", "sector": "healthcare", "usecase": "hc-ehr-prediction", "model_or_product": "CAPE", "model_id": "synapxe-cape", "vendor": "Synapxe", "vendor_country": "Singapore", "status": "production", "date": null, "evidence_type": "government statement", "outcome_claims": "Listed by Synapxe; no dates given", "sources": [ "https://www.synapxe.sg/healthtech/health-ai" ], "unverified": [] }, { "id": "synapxe-ckd", "organisation": "Synapxe (Singapore public healthcare)", "organisation_id": "synapxe", "country": "Singapore", "sector": "healthcare", "usecase": "hc-ehr-prediction", "model_or_product": "CKD and readmission models", "model_id": null, "vendor": "Synapxe", "vendor_country": "Singapore", "status": "production", "date": null, "evidence_type": "government statement", "outcome_claims": "Listed by Synapxe; no dates given", "sources": [ "https://www.synapxe.sg/healthtech/health-ai" ], "unverified": [] }, { "id": "synapxe-healix", "organisation": "Synapxe (Singapore public healthcare)", "organisation_id": "synapxe", "country": "Singapore", "sector": "healthcare", "usecase": "hc-ehr-prediction", "model_or_product": "HEALIX (analytics platform)", "model_id": null, "vendor": "Synapxe", "vendor_country": "Singapore", "status": "production", "date": null, "evidence_type": "government statement", "outcome_claims": "Listed by Synapxe; no dates given", "sources": [ "https://www.synapxe.sg/healthtech/health-ai" ], "unverified": [] }, { "id": "synapxe-selena-plus", "organisation": "Synapxe (Singapore public healthcare)", "organisation_id": "synapxe", "country": "Singapore", "sector": "healthcare", "usecase": "hc-eye-screening", "model_or_product": "SELENA+", "model_id": "synapxe-selena-plus", "vendor": "Synapxe", "vendor_country": "Singapore", "status": "production", "date": null, "evidence_type": "government statement", "outcome_claims": "Listed by Synapxe; no dates given", "sources": [ "https://www.synapxe.sg/healthtech/health-ai" ], "unverified": [] }, { "id": "synapxe-tandem", "organisation": "Synapxe (Singapore public healthcare)", "organisation_id": "synapxe", "country": "Singapore", "sector": "healthcare", "usecase": "hc-clinical-llm-frontier", "model_or_product": "Tandem (generative AI platform for public healthcare staff; model not named)", "model_id": null, "vendor": "Synapxe", "vendor_country": "Singapore", "status": "production", "date": null, "evidence_type": "government statement", "outcome_claims": "Listed by Synapxe; no dates given", "sources": [ "https://www.synapxe.sg/healthtech/health-ai" ], "unverified": [] }, { "id": "tasnee-smartsignal", "organisation": "TASNEE", "organisation_id": "tasnee", "country": "Saudi Arabia", "sector": "chemicals", "usecase": "ind-predictive-maintenance", "model_or_product": "GE Vernova SmartSignal", "model_id": null, "vendor": "GE Vernova", "vendor_country": "USA", "status": "contract signed", "date": "2024-03", "evidence_type": "company statement", "outcome_claims": null, "sources": [ "https://gevernova.com/news/press-releases/ge-vernova-integrate-predictive-analytics-software-optimize-operations-tasnee-gulf-region" ], "unverified": [] }, { "id": "telkom-agentic-bigbox", "organisation": "Telkom Indonesia", "organisation_id": "telkom-indonesia", "country": "Indonesia", "sector": "telecom", "usecase": "tel-legal-document-intelligence", "model_or_product": "Agentic AI by BigBox (model not stated)", "model_id": null, "vendor": "In-house", "vendor_country": "Indonesia", "status": "production", "date": "2026-04-27", "evidence_type": "company statement", "outcome_claims": "Launched", "sources": [ "https://industri.kontan.co.id/news/telkom-tlkm-luncurkan-agentic-ai-by-bigbox-dorong-otomasi-cerdas-untuk-bisnis" ], "unverified": [ "province", "model", "group" ] }, { "id": "telkom-telis", "organisation": "Telkom Indonesia", "organisation_id": "telkom-indonesia", "country": "Indonesia", "sector": "telecom", "usecase": "tel-legal-document-intelligence", "model_or_product": "TELIS 2.0 legal intelligence (model not stated)", "model_id": null, "vendor": "In-house", "vendor_country": "Indonesia", "status": "production", "date": "2026-05-01", "evidence_type": "company statement", "outcome_claims": "Internal use", "sources": [ "https://selular.id/2026/05/itd-summit-2026-telkomgroup-buktikan-ai-bukan-tren-tapi-alat-kerja-nyata/" ], "unverified": [ "province", "model", "group" ] }, { "id": "telkomsel-veronika", "organisation": "Telkomsel", "organisation_id": "telkomsel", "country": "Indonesia", "sector": "telecom", "usecase": "tel-customer-virtual-assistant", "model_or_product": "Veronika virtual assistant and agent copilot on Azure OpenAI Service (GPT version not stated)", "model_id": null, "vendor": "Microsoft", "vendor_country": "USA", "status": "production", "date": "2024-02-27", "evidence_type": "company statement", "outcome_claims": "Self-service rose from 19% to 45%; messages per user up 140% (company and vendor)", "sources": [ "https://www.telkomsel.com/en/about-us/news/telkomsel-expands-ai-collaboration-microsoft-enhance-customers-digital-lifestyle", "https://microsoft.com/en/customers/story/1739790055278570755-telkomsel-azure-openai-service-telecommunications-en-indonesia" ], "unverified": [ "province", "model_id", "group" ], "model_named": "Azure OpenAI Service (GPT version not stated)" }, { "id": "triputra-dabeeo", "organisation": "PT Triputra Agro Persada", "organisation_id": "triputra-agro-persada", "country": "Indonesia", "sector": "agriculture", "usecase": "ag-plantation-monitoring", "model_or_product": "Dabeeo vision AI on high-resolution satellite imagery (model not stated)", "model_id": null, "vendor": "Dabeeo", "vendor_country": "South Korea", "status": "contract signed", "date": "2026-02-23", "evidence_type": "company statement", "outcome_claims": "Tree identification, crop health, change detection, 3D mapping, land suitability; implementation planned", "sources": [ "https://industri.kontan.co.id/news/dabeeo-perluas-teknologi-ai-untuk-perkebunan-sawit-di-indonesia" ], "unverified": [ "province", "model", "group" ] }, { "id": "ugm-tree-counting", "organisation": "Universitas Gadjah Mada", "organisation_id": "universitas-gadjah-mada", "country": "Indonesia", "sector": "agriculture", "usecase": "ag-tree-counting", "model_or_product": "Deep learning oil palm tree counting (model not stated)", "model_id": null, "vendor": "UGM with unnamed external partners", "vendor_country": "Indonesia", "status": "research", "date": "2022", "evidence_type": "academic paper", "outcome_claims": "Research completed 2022; no plantation deployment named", "sources": [ "https://ai.ugm.ac.id/2025/09/17/ugm-kembangkan-sistem-otomatis-penghitung-pokok-sawit-berbasis-deep-learning/" ], "unverified": [ "province", "model" ] }, { "id": "united-imaging-china-hospitals", "organisation": "Chinese hospitals (over 2,000)", "organisation_id": null, "country": "China", "sector": "healthcare", "usecase": "hc-lung-ct-nodules", "model_or_product": "United Imaging pulmonary nodule software", "model_id": "united-imaging-pulmonary-nodule-software", "vendor": "United Imaging", "vendor_country": "China", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "Over 2,000 Chinese hospitals use it (manufacturer claim)", "sources": [ "https://pmc.ncbi.nlm.nih.gov/articles/PMC12998604" ], "unverified": [] }, { "id": "yimin-mine-pangu", "organisation": "Yimin open-pit coal mine (Huaneng)", "organisation_id": "china-huaneng", "country": "China", "sector": "mining", "usecase": "ind-autonomous-mining", "model_or_product": "Huawei Pangu Multimodal and World Model", "model_id": "huawei-pangu-multimodal-world-model", "vendor": "Huawei", "vendor_country": "China", "status": "production", "date": "2025-05", "evidence_type": "company statement", "outcome_claims": "100 autonomous electric trucks", "sources": [ "https://aimagazine.com/articles/how-huawei-pangu-5-5-ai-models-transform-industry-operations", "https://www.mining-technology.com/newsletters/huaweis-pangu-5-5-ai-intelligent-mining-in-action" ], "unverified": [] }, { "id": "ptpn-iv-palmco-arfina", "organisation": "PTPN IV PalmCo", "organisation_id": "ptpn-iv-palmco", "country": "Indonesia", "sector": "agriculture", "usecase": "ag-fire-hotspot-detection", "model_or_product": "ARFINA (Artificial Intelligence Fire Monitoring Integrated Ground Checking Nusantara) fire hotspot detection; data sources and model not stated", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2026-02-14", "evidence_type": "company statement", "outcome_claims": "Activated before the 2026 dry season; alerts are followed up by field staff with TNI and Polri. No results stated", "sources": [ "https://koran-jakarta.com/2026-02-15/antisipasi-karhutla-ptpn-iv-palmco-gandeng-tni-polri-operasikan-teknologi-deteksi-titik-panas-berbasis-ai/amp" ], "unverified": [ "province", "model", "vendor" ], "group": "PTPN III (Persero)" }, { "id": "astra-agro-tiara-ffb-prediction", "organisation": "PT Astra Agro Lestari Tbk", "organisation_id": "astra-agro-lestari", "country": "Indonesia", "sector": "agriculture", "usecase": "ag-yield-prediction", "model_or_product": "TIARA (TBS Prediksi Astra), AI application predicting fresh fruit bunch production (model not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2026-09-21", "evidence_type": "independent report", "outcome_claims": "Named as an example in use by a GAPKI board member, not by Astra; no results stated", "sources": [ "https://selular.id/2026/09/gapki-tanpa-digitalisasi-sawit-indonesia-bisa-kehilangan-daya-saing-global/", "https://www.astra-agro.co.id/2020/02/19/astra-agro-develops-own-technology-to-improve-plantation-operations/" ], "unverified": [ "status", "province", "model", "vendor" ], "group": "Astra International" }, { "id": "toba-agro-smartsawitgrading", "organisation": "PT Toba Agro Manunggal with BINUS (BDSRC)", "organisation_id": "toba-agro-manunggal", "country": "Indonesia", "sector": "agriculture", "usecase": "ag-ffb-ripeness-grading", "model_or_product": "SmartSawitGrading, lightweight deep learning FFB ripeness grading on smartphones (architecture not named)", "model_id": null, "vendor": "BINUS University (BDSRC)", "vendor_country": "Indonesia", "status": "research", "date": "2026-07-28", "evidence_type": "company statement", "outcome_claims": "Developed; rollout not stated", "sources": [ "https://research.binus.ac.id/airdc/?p=3069" ], "unverified": [ "province", "model", "group" ] }, { "id": "brin-rice-phenology-federated", "organisation": "BRIN Data Science and Information Research Center (PRSDI)", "organisation_id": "brin", "country": "Indonesia", "sector": "agriculture", "usecase": "ag-crop-mapping", "model_or_product": "Decentralised AI framework with federated learning on optical and radar satellite imagery (NDVI, VV/VH) for rice growth stage monitoring", "model_id": null, "vendor": "BRIN", "vendor_country": "Indonesia", "status": "research", "date": "2026-03-10", "evidence_type": "government statement", "outcome_claims": "In development; no results stated", "sources": [ "https://rri.co.id/en/technology/2255309/brin-develops-decentralized-ai-to-secure-indonesias-food" ], "unverified": [ "province", "model" ] }, { "id": "jala-farm-platform", "organisation": "JALA Tech", "organisation_id": "jala-tech", "country": "Indonesia", "sector": "aquaculture", "usecase": "ag-aquaculture-pond-ai", "model_or_product": "JALA farm platform with water quality sensors and an in-house AI model for recommendations, harvest prediction and disease alerts", "model_id": null, "vendor": "JALA Tech", "vendor_country": "Indonesia", "status": "production", "date": "2021-11-29", "evidence_type": "company statement", "outcome_claims": "More than 6,700 farms using the platform (company figure, 2021)", "sources": [ "https://aquaasiapac.com/2021/11/29/jala-raises-usd-6-million-to-contribute-to-ecological-sustainability-of-indonesias-shrimp-industry/" ], "unverified": [ "province", "model", "vendor_country" ] }, { "id": "neurafarm-dr-tania", "organisation": "Neurafarm (PT Neura Cipta Nusantara)", "organisation_id": "neurafarm", "country": "Indonesia", "sector": "agriculture", "usecase": "ag-crop-disease-diagnosis-app", "model_or_product": "Dr. Tania chatbot app with AI image diagnosis of plant diseases", "model_id": null, "vendor": "Neurafarm", "vendor_country": "Indonesia", "status": "production", "date": "2019-09-10", "evidence_type": "company statement", "outcome_claims": "14 plants and 33 diseases identified in 2019; no accuracy or user figures on the page", "sources": [ "https://itb.ac.id/news/identifying-plant-diseases-using-a-smartphone-app-dr-tania/57246" ], "unverified": [ "province", "model" ] }, { "id": "bri-bribrain-credit-scoring", "organisation": "Bank Rakyat Indonesia (BRI)", "organisation_id": "bri", "country": "Indonesia", "sector": "finance", "usecase": "fin-credit-scoring", "model_or_product": "BRIBrain AI and machine learning platform producing BRIScore and BRILink Score; also used for customer profiling for recommendations and transaction anomaly detection", "model_id": null, "vendor": "BRI (in-house)", "vendor_country": "Indonesia", "status": "production", "date": "2020-11", "evidence_type": "company statement", "outcome_claims": "Ceria and Pinang digital loans from application to disbursement in about 10 minutes (BRI). December 2024: BRI confirms AI in credit scoring. January 2024: AI recommendation system raised conversion 60 percent and borrower acquisition quality 49 percent (company claims)", "sources": [ "https://ekonomi.republika.co.id/berita/qj3w7b423/bri-hadirkan-teknologi-simplifikasi-layanan-bribrain", "https://momsmoney.kontan.co.id/news/bri-memanfaatkan-teknologi-ai-untuk-credit-scoring", "https://finance.detik.com/moneter/d-7146327/bri-pakai-ai-buat-gaet-nasabah-hingga-analisis-anti-fraud" ], "unverified": [ "province", "model", "group" ] }, { "id": "amartha-credit-scoring", "organisation": "Amartha (PT Amartha Mikro Fintek)", "organisation_id": "amartha", "country": "Indonesia", "sector": "finance", "usecase": "fin-credit-scoring", "model_or_product": "Machine learning credit scoring on more than 800 variables (loan and payment history, digital channel use, demographics) for rural women micro-entrepreneurs, built with Accion; Ascore.ai credit decisioning offered to other lenders", "model_id": null, "vendor": "Amartha (in-house) with Accion", "vendor_country": null, "status": "production", "date": "2022-09-15", "evidence_type": "company statement", "outcome_claims": "NPL kept below 0.5 percent (company claim, 2022). Eligible women-led microbusinesses more than tripled; approvals from 1 to 2 weeks to under 24 hours; 1.8 million active customers (Accion, December 2024)", "sources": [ "https://amartha.com/en/blog/siaran-pers/amartha-luncurkan-ascore-ai-layanan-credit-decisioning-solution-untuk-akselerasi-bisnis-umkm", "https://www.accion.org/leveraging-ai-to-strengthen-women-led-businesses-in-indonesia/" ], "unverified": [ "province", "model", "vendor_country" ] }, { "id": "kbij-skorku", "organisation": "PT Kredit Biro Indonesia Jaya (KBIJ)", "organisation_id": "kbij", "country": "Indonesia", "sector": "finance", "usecase": "fin-credit-scoring", "model_or_product": "SKORKU three-digit credit score (470 to 710) from bureau data with machine learning, model built by OneConnect Financial Technology", "model_id": null, "vendor": "OneConnect Financial Technology", "vendor_country": null, "status": "production", "date": "2020-04-01", "evidence_type": "company statement", "outcome_claims": "Potential approval rate up 20 to 60 percent and bad rate down 10 to 40 percent (vendor claim)", "sources": [ "https://investasi.kontan.co.id/news/kredit-biro-indonesia-perkenalkan-layanan-percepatan-skor-kredit" ], "unverified": [ "province", "vendor_country", "model" ] }, { "id": "bank-jago-ai", "organisation": "PT Bank Jago Tbk", "organisation_id": "bank-jago", "country": "Indonesia", "sector": "finance", "usecase": "fin-credit-scoring", "model_or_product": "AI for retail credit portfolio assessment, a fraud detection system and an AI chatbot for basic questions (models not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2026-09-10", "evidence_type": "company statement", "outcome_claims": "AI budget about Rp5 billion (about USD 350,000); no results stated", "sources": [ "https://bcasekuritas.co.id/latest-news/news/bank-jago-alokasikan-rp5-miliar-untuk-ai-demi-efisiensi-operasional", "https://bcasekuritas.co.id/en/latest-news/news/bank-jago-alokasikan-rp5-miliar-untuk-ai-demi-efisiensi-operasional" ], "unverified": [ "province", "model", "vendor", "group" ] }, { "id": "cimb-niaga-rm-ai-agent", "organisation": "PT Bank CIMB Niaga Tbk", "organisation_id": "cimb-niaga", "country": "Indonesia", "sector": "finance", "usecase": "fin-wealth-advice-assistant", "model_or_product": "Relationship Manager AI Agent on Google Cloud Vertex AI, Jakarta region, built with Artefact (model not named)", "model_id": null, "vendor": "Google Cloud; Artefact", "vendor_country": null, "status": "production", "date": "2026-04-14", "evidence_type": "company statement", "outcome_claims": "Launched; no results stated", "sources": [ "https://www.googlecloudpresscorner.com/2026-04-14-CIMB-Niaga,-Google-Cloud,-and-Artefact-Debut-Enterprise-AI-Agents-to-Deliver-Life-Centric-Banking-for-Millions-of-Indonesians" ], "unverified": [ "province", "model", "group", "vendor_country" ] }, { "id": "cimb-niaga-contact-center-ai-agent", "organisation": "PT Bank CIMB Niaga Tbk", "organisation_id": "cimb-niaga", "country": "Indonesia", "sector": "finance", "usecase": "fin-contact-centre-agent-assist", "model_or_product": "Contact Center AI Agent on Google Cloud Vertex AI, Jakarta region, built with Artefact (model not named)", "model_id": null, "vendor": "Google Cloud; Artefact", "vendor_country": null, "status": "production", "date": "2026-04-14", "evidence_type": "company statement", "outcome_claims": "Launched; no results stated", "sources": [ "https://www.googlecloudpresscorner.com/2026-04-14-CIMB-Niaga,-Google-Cloud,-and-Artefact-Debut-Enterprise-AI-Agents-to-Deliver-Life-Centric-Banking-for-Millions-of-Indonesians" ], "unverified": [ "province", "model", "group", "vendor_country" ] }, { "id": "cimb-niaga-ai-rudder-voice", "organisation": "PT Bank CIMB Niaga Tbk", "organisation_id": "cimb-niaga", "country": "Indonesia", "sector": "finance", "usecase": "fin-outbound-voicebot", "model_or_product": "AI Rudder AI Voice Agent (LLM, NLP and speech recognition) for reminders and routine customer calls", "model_id": null, "vendor": "AI Rudder", "vendor_country": null, "status": "pilot", "date": "2026-04-27", "evidence_type": "company statement", "outcome_claims": "Gradual integration; no results stated. Source is a vendor press release", "sources": [ "https://tirto.id/ai-rudder-strengthens-cimb-niagas-digital-innovation-through-ai-solutions-hu7y" ], "unverified": [ "status", "province", "vendor_country", "model" ] }, { "id": "danamon-6estates-credit", "organisation": "PT Bank Danamon Indonesia Tbk", "organisation_id": "bank-danamon", "country": "Indonesia", "sector": "finance", "usecase": "fin-credit-document-analysis", "model_or_product": "6Estates finance-as-a-service platform: AI bank statement analysis, fraud flags, cash flow and repayment analysis, credit memo drafting, early warning indicators", "model_id": null, "vendor": "6Estates", "vendor_country": "Singapore", "status": "production", "date": "2025-05-09", "evidence_type": "company statement", "outcome_claims": "Phase 1 document automation: more than 70,000 pages of credit documents a month; bank statement extraction accuracy above 99 percent (company claims)", "sources": [ "https://www.industry.co.id/read/141833/jalin-mitra-strategis-danamon-memanfaatkan-platform-faas-6estates-untuk-tingkatkan-pemrosesan-kredit" ], "unverified": [ "province", "model" ], "group": "MUFG" }, { "id": "bsi-m365-copilot", "organisation": "PT Bank Syariah Indonesia Tbk (BSI)", "organisation_id": "bsi", "country": "Indonesia", "sector": "finance", "usecase": "fin-internal-knowledge-qa", "model_or_product": "Microsoft 365 Copilot (Copilot Chat) for drafting, reports, analysis and internal communication", "model_id": null, "vendor": "Microsoft", "vendor_country": "USA", "status": "production", "date": "2026-06-04", "evidence_type": "company statement", "outcome_claims": "Qualitative only; user numbers not disclosed", "sources": [ "https://news.microsoft.com/source/asia/2026/06/04/ketika-ai-menjadi-mitra-strategis-bsi-mewujudkan-masa-depan-perbankan-syariah-modern-melalui-microsoft-365-copilot/?lang=id" ], "unverified": [ "province", "model_id", "group" ], "model_named": "Microsoft 365 Copilot" }, { "id": "bsi-face-onboarding-ai", "organisation": "PT Bank Syariah Indonesia Tbk (BSI)", "organisation_id": "bsi", "country": "Indonesia", "sector": "finance", "usecase": "fin-deepfake-liveness-detection", "model_or_product": "Face recognition onboarding with spoof detection; also fraud pattern detection, staff knowledge management, next product to offer and a sales AI proof of concept (models not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2026-07-01", "evidence_type": "company statement", "outcome_claims": "Sales AI proof of concept brought several thousand new accounts (bank claim)", "sources": [ "https://keuangan.kontan.co.id/news/bank-makin-agresif-adopsi-ai-dari-persetujuan-kredit-hingga-deteksi-fraud" ], "unverified": [ "province", "model", "vendor", "group" ] }, { "id": "citi-indonesia-stylus-assist", "organisation": "Citi Indonesia (Citibank N.A. Indonesia)", "organisation_id": "citi-indonesia", "country": "Indonesia", "sector": "finance", "usecase": "fin-internal-knowledge-qa", "model_or_product": "Citi Stylus Workspaces (document processing, chat, summaries, conversational search) and Citi Assist (internal policy and procedure assistant)", "model_id": null, "vendor": "Citi (in-house)", "vendor_country": null, "status": "production", "date": "2026-06-11", "evidence_type": "company statement", "outcome_claims": "Available to about 180,000 Citi staff in 87 countries and jurisdictions", "sources": [ "https://selular.id/2026/06/citi-mulai-pakai-ai-di-indonesia-untuk-transformasi-perbankan/", "https://keuangan.kontan.co.id/news/bank-makin-agresif-adopsi-ai-dari-persetujuan-kredit-hingga-deteksi-fraud" ], "unverified": [ "province", "model" ], "group": "Citi" }, { "id": "ovo-fraud-detection", "organisation": "OVO", "organisation_id": "ovo", "country": "Indonesia", "sector": "finance", "usecase": "fin-fraud-detection", "model_or_product": "Automatic fraud detection on transaction patterns and devices; AI to detect manipulated and generative AI images and documents and to map fraud networks; CashShield AI fraud protection since 2018", "model_id": null, "vendor": "OVO; CashShield (from 2018)", "vendor_country": null, "status": "production", "date": "2026-06-25", "evidence_type": "company statement", "outcome_claims": "No results stated", "sources": [ "https://www.grab.com/id/press/others/dari-autentikasi-hingga-deteksi-fraud-ini-sistem-keamanan-berlapis-di-aplikasi-ovo/", "https://www.marketing-interactive.com/ovo-partners-cashshield-to-prevent-fraudulent-purchases/" ], "unverified": [ "vendor_country", "model", "group" ], "province": "national" }, { "id": "allianz-indonesia-claims-ai", "organisation": "Allianz Indonesia", "organisation_id": "allianz-indonesia", "country": "Indonesia", "sector": "insurance", "usecase": "fin-insurance-claims", "model_or_product": "AI for claims analysis, decisions and early fraud detection, developed from 2019 (vendor not named)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2020-12-04", "evidence_type": "company statement", "outcome_claims": "More than 7,500 claims a month analysed; fraud detection accuracy above 80 percent; twice the output of manual analysis (company claims)", "sources": [ "https://tirto.id/allianz-maksimalkan-teknologi-ai-untuk-percepat-proses-klaim-f7Le" ], "unverified": [ "province", "vendor", "model" ] }, { "id": "zurich-indonesia-motor-claims-ai", "organisation": "PT Zurich Asuransi Indonesia Tbk", "organisation_id": "zurich-indonesia", "country": "Indonesia", "sector": "insurance", "usecase": "fin-insurance-claims", "model_or_product": "AI motor claim survey: policyholders send their own photos and AI counts scratches and dents and checks coverage (product and vendor not named)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2024-03-07", "evidence_type": "company statement", "outcome_claims": "Faster process and better data accuracy (company statement, no figures)", "sources": [ "https://infobanknews.com/berkat-teknologi-ini-proses-klaim-zurich-insurance-kini-lebih-efisien/" ], "unverified": [ "province", "model", "vendor" ] }, { "id": "tokio-marine-indonesia-claims-fraud", "organisation": "Tokio Marine Indonesia", "organisation_id": "tokio-marine-indonesia", "country": "Indonesia", "sector": "insurance", "usecase": "fin-insurance-claims", "model_or_product": "AI fraud detection on motor and e-commerce shipment claims (model not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2023-12-13", "evidence_type": "company statement", "outcome_claims": "No figures stated", "sources": [ "https://keuangan.kontan.co.id/news/tokio-marine-indonesia-sebut-terapkan-kecerdasan-buatan-dalam-proses-klaim" ], "unverified": [ "province", "model", "vendor" ] }, { "id": "tokio-marine-indonesia-hikaru", "organisation": "Tokio Marine Indonesia", "organisation_id": "tokio-marine-indonesia", "country": "Indonesia", "sector": "insurance", "usecase": "fin-outbound-voicebot", "model_or_product": "Hikaru AI voicebot calling customers", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2023-12-13", "evidence_type": "company statement", "outcome_claims": "Calls 1,000 customers a day; company claims 99 percent do not notice it is AI", "sources": [ "https://keuangan.kontan.co.id/news/tokio-marine-indonesia-sebut-terapkan-kecerdasan-buatan-dalam-proses-klaim" ], "unverified": [ "province", "model", "vendor" ] }, { "id": "ojk-suptech-ai", "organisation": "Otoritas Jasa Keuangan (OJK)", "organisation_id": "ojk", "country": "Indonesia", "sector": "finance", "usecase": "fin-supervisory-technology", "model_or_product": "AI and machine learning based supervisory technology for bank supervision (system not named)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "planned", "date": "2026-02-04", "evidence_type": "government statement", "outcome_claims": "OJK says it is strengthening supervision with AI and ML; no system or results named", "sources": [ "https://www.cnbcindonesia.com/market/20260205135056-17-708487/perketat-pengawasan-ojk-pantau-bank-pakai-ai" ], "unverified": [ "province", "model", "vendor" ] }, { "id": "vida-identity-stack", "organisation": "VIDA", "organisation_id": "vida", "country": "Indonesia", "sector": "finance", "usecase": "fin-deepfake-liveness-detection", "model_or_product": "VIDA Identity Stack: Document Liveness, Face Liveness, Fraud Scanner, Deepfake Detector, Deepfake Shield", "model_id": null, "vendor": "VIDA", "vendor_country": "Indonesia", "status": "production", "date": "2024-09-03", "evidence_type": "company statement", "outcome_claims": "99.9 percent reduction in identity fraud (vendor claim); no named client on the page", "sources": [ "https://gizmologi.id/news/tech/vida-identity-stack-rilis-penipuan-deepfake-ai/amp/" ], "unverified": [ "province", "model", "group" ] }, { "id": "ocbc-indonesia-genai-recommendation", "organisation": "OCBC Indonesia", "organisation_id": "ocbc-indonesia", "country": "Indonesia", "sector": "finance", "usecase": "fin-product-recommendation", "model_or_product": "Generative AI and transformer models for personalised recommendations on the Cloudera hybrid data platform", "model_id": null, "vendor": "Cloudera", "vendor_country": null, "status": "planned", "date": "2024-07-02", "evidence_type": "company statement", "outcome_claims": "None stated", "sources": [ "https://www.itnews.asia/news/ocbc-indonesia-optimises-banking-services-with-generative-ai-609343" ], "unverified": [ "province", "model", "group", "vendor_country" ] }, { "id": "oona-insurance-camcom", "organisation": "Oona Insurance Indonesia", "organisation_id": "oona-insurance-indonesia", "country": "Indonesia", "sector": "insurance", "usecase": "fin-insurance-claims", "model_or_product": "CamCom image AI for car damage assessment in vehicle insurance inspection; severity and fraud features to be added", "model_id": null, "vendor": "CamCom", "vendor_country": null, "status": "contract signed", "date": "2024-02-02", "evidence_type": "company statement", "outcome_claims": "None stated", "sources": [ "https://investortrust.id/financial/21007/oona-insurance-gandeng-camcom-terapkan-ai-percepat-inspeksi-asuransi-kendaraan" ], "unverified": [ "province", "vendor_country", "model" ] }, { "id": "aaui-pindai-claims-fraud", "organisation": "Asosiasi Asuransi Umum Indonesia (AAUI) with PT Pindai", "organisation_id": "aaui", "country": "Indonesia", "sector": "insurance", "usecase": "fin-insurance-claims", "model_or_product": "AI for claim condition checks and fraud mitigation in motor and health insurance, developed with an unnamed Chinese partner", "model_id": null, "vendor": "PT Pindai with an unnamed partner from China", "vendor_country": null, "status": "planned", "date": "2026-07-30", "evidence_type": "company statement", "outcome_claims": "Trial with insurers hoped for Q3 2026; no results", "sources": [ "https://investortrust.id/financial/111233/ai-diproyeksikan-tekan-rasio-klaim-dan-mitigasi-fraud-aaui-siapkan-uji-coba-dengan-perusahaan-asuransi" ], "unverified": [ "province", "vendor", "model" ] }, { "id": "mandiri-livin-genai-personalisation", "organisation": "Bank Mandiri", "organisation_id": "bank-mandiri", "country": "Indonesia", "sector": "finance", "usecase": "fin-product-recommendation", "model_or_product": "Generative AI marketing content for Livin' products and AI personalisation on Livin' pre-login and home screens (models not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2025-10-05", "evidence_type": "company statement", "outcome_claims": "27 million users reached by generative AI content; take-up up to 1.7 times; more than 300 assets for more than 30 products; content production up to 3 times faster (company claims)", "sources": [ "https://investortrust.id/financial/81128/bank-mandiri-raih-penghargaan-customer-experience-2025-berkat-livin-kopra-dan-livin-merchant" ], "unverified": [ "province", "model", "vendor", "group" ] }, { "id": "pegadaian-meta-ai", "organisation": "PT Pegadaian", "organisation_id": "pegadaian", "country": "Indonesia", "sector": "finance", "usecase": "fin-customer-service-assistant", "model_or_product": "AI for digital transactions and customer interactions, built with a third party and integrated with Meta systems under a monthly Meta licence", "model_id": null, "vendor": "unnamed third party; Meta", "vendor_country": null, "status": "production", "date": "2026-06-05", "evidence_type": "company statement", "outcome_claims": "None stated", "sources": [ "https://www.rctiplus.com/news/detail/terkini/5399485/pegadaian-pilih-skema-kolaborasi-untuk-pengembangan-ai--masih-bayar-lisensi-meta" ], "unverified": [ "province", "model", "vendor", "group" ] }, { "id": "pegadaian-kata-ai-avatars", "organisation": "PT Pegadaian", "organisation_id": "pegadaian", "country": "Indonesia", "sector": "finance", "usecase": "fin-customer-service-assistant", "model_or_product": "Kata.ai digital avatars in branches answering questions on gold investment and loans", "model_id": null, "vendor": "Kata.ai", "vendor_country": "Indonesia", "status": "production", "date": "2025-03-26", "evidence_type": "company statement", "outcome_claims": "None stated", "sources": [ "https://www.theasianbanker.com/updates-and-articles/kata-ai-expands-conversational-ai-for-financial-services-and-beyond" ], "unverified": [ "province", "model", "group" ] }, { "id": "btn-bale-ekyc-ai", "organisation": "PT Bank Tabungan Negara (BTN)", "organisation_id": "btn", "country": "Indonesia", "sector": "finance", "usecase": "fin-ekyc-document-extraction", "model_or_product": "Bale by BTN e-KYC with OCR, face recognition and liveness; also staff knowledge management, transaction anomaly detection and AI document processing for credit (in development)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2026-07-01", "evidence_type": "company statement", "outcome_claims": "None stated", "sources": [ "https://keuangan.kontan.co.id/news/bank-makin-agresif-adopsi-ai-dari-persetujuan-kredit-hingga-deteksi-fraud" ], "unverified": [ "province", "model", "vendor", "group" ] }, { "id": "bank-dki-ai", "organisation": "PT Bank DKI", "organisation_id": "bank-dki", "country": "Indonesia", "sector": "finance", "usecase": "fin-credit-scoring", "model_or_product": "AI credit scoring, fraud and cybercrime detection, and customer conversation support (models not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2024-09-09", "evidence_type": "company statement", "outcome_claims": "None stated", "sources": [ "https://selular.id/2024/09/penerapan-ai-di-bank-dki-bisa-tentukan-credit-skor-nasabah/" ], "unverified": [ "province", "model", "vendor", "group" ] }, { "id": "rsud-haji-jatim-ai-mina", "organisation": "RSUD Haji Provinsi Jawa Timur with ITS and Universitas Airlangga", "organisation_id": "rsud-haji-jatim", "country": "Indonesia", "sector": "healthcare", "usecase": "hc-claim-document-verification", "model_or_product": "AI MINA: OCR, NLU and LLM checking BPJS (JKN) claim documents against ICD and BPJS rules before submission; on-premise (model not named)", "model_id": null, "vendor": "ITS and Universitas Airlangga", "vendor_country": "Indonesia", "status": "production", "date": "2026-07-29", "evidence_type": "company statement", "outcome_claims": "Launched with phased rollout; review time per document from about 20 minutes to under 2 minutes (claim)", "sources": [ "https://www.its.ac.id/?p=66933" ], "unverified": [ "city", "model" ], "province": "Jawa Timur" }, { "id": "rscm-ai-clinical-decision-support", "organisation": "RSCM (RSUPN Dr. Cipto Mangunkusumo)", "organisation_id": "rscm", "country": "Indonesia", "sector": "healthcare", "usecase": "hc-clinical-decision-support", "model_or_product": "AI diagnostic suggestion from symptoms and AI review of laboratory results (products not named)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2026", "evidence_type": "company statement", "outcome_claims": "In use; no figures stated. Page undated (after March 2026)", "sources": [ "https://govinsider.asia/indo-id/article/rscm-di-garis-depan-transformasi-layanan-kesehatan" ], "unverified": [ "province", "model", "vendor", "group" ] }, { "id": "rscm-bpjs-claim-automation", "organisation": "RSCM (RSUPN Dr. Cipto Mangunkusumo)", "organisation_id": "rscm", "country": "Indonesia", "sector": "healthcare", "usecase": "hc-claim-document-verification", "model_or_product": "AI-automated BPJS claim submission (product not named)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2026", "evidence_type": "company statement", "outcome_claims": "In use; no figures stated. Page undated (after March 2026)", "sources": [ "https://govinsider.asia/indo-id/article/rscm-di-garis-depan-transformasi-layanan-kesehatan" ], "unverified": [ "province", "model", "vendor", "group" ] }, { "id": "emc-intersystems-intellicare", "organisation": "EMC Healthcare (seven hospitals); also named as adopters: Prodia, EKA Hospital, Pondok Indah Group, Tzu Chi Hospital, Asia One Healthcare, Bali International Hospital", "organisation_id": "emc-healthcare", "country": "Indonesia", "sector": "healthcare", "usecase": "hc-ambient-scribing", "model_or_product": "IntelliCare AI-powered electronic medical record with generative AI clinical documentation on InterSystems IRIS for Health; local partners Zi.Care, ICS Compute, BitHealth", "model_id": null, "vendor": "InterSystems", "vendor_country": "USA", "status": "production", "date": "2025-11", "evidence_type": "company statement", "outcome_claims": "Record completeness at EMC from 68 to 98 percent; seven hospitals in about 18 months (company claims)", "sources": [ "https://www.goodnewsfromindonesia.id/2026/02/10/membanggakan-indonesia-punya-rekam-medis-ai-pertama-di-dunia" ], "unverified": [ "province", "model_id" ], "model_named": "InterSystems IntelliCare (generative AI on InterSystems IRIS for Health)" }, { "id": "halodoc-hilda", "organisation": "Halodoc (PT Media Dokter Investama)", "organisation_id": "halodoc", "country": "Indonesia", "sector": "healthcare", "usecase": "hc-symptom-triage-navigation", "model_or_product": "HILDA (Halodoc InteLligent Digital Assistant) for first symptom triage and routing to doctors, specialists or products (model not named)", "model_id": null, "vendor": "Halodoc (in-house)", "vendor_country": "Indonesia", "status": "production", "date": "2026-02-19", "evidence_type": "company statement", "outcome_claims": "Described as still learning; no figures. Date is the page review date", "sources": [ "https://www.halodoc.com/artikel/hilda-sistem-ai-halodoc-yang-bikin-akses-kesehatan-jadi-lebih-simpel" ], "unverified": [ "province", "model" ] }, { "id": "halodoc-aida", "organisation": "Halodoc (PT Media Dokter Investama)", "organisation_id": "halodoc", "country": "Indonesia", "sector": "healthcare", "usecase": "hc-clinical-decision-support", "model_or_product": "AIDA (AI Doctor Assistant) for administrative tasks and evidence lookup, overseen by a Board of Medical Excellence (model not named)", "model_id": null, "vendor": "Halodoc (in-house)", "vendor_country": "Indonesia", "status": "pilot", "date": "2025-08-21", "evidence_type": "company statement", "outcome_claims": "Over 80 percent of partner doctors report benefit; up to 93 percent accuracy (company claims)", "sources": [ "https://www.fortuneidn.com/tech/halodoc-luncurkan-aida-teknologi-ai-pendamping-dokter-di-indonesia-00-4vfn9-t7fjqb" ], "unverified": [ "province", "model" ] }, { "id": "halodoc-bedrock-claims", "organisation": "Halodoc (PT Media Dokter Investama)", "organisation_id": "halodoc", "country": "Indonesia", "sector": "healthcare", "usecase": "hc-claim-document-verification", "model_or_product": "Generative AI on Amazon Bedrock for health service payment claim processing (model not named)", "model_id": null, "vendor": "AWS (Amazon Bedrock)", "vendor_country": "USA", "status": "production", "date": "2025-03-04", "evidence_type": "company statement", "outcome_claims": "Claim time from about 3 minutes to under 1.5 minutes; productivity up over 45 percent; processing cost down over 50 percent (company claims)", "sources": [ "https://infobanknews.com/simak-ini-hasil-nyata-penerapan-ai-di-bisnis-halodoc/" ], "unverified": [ "province", "model_id" ], "model_named": "Amazon Bedrock (foundation model not named)" }, { "id": "kemenkes-tb-portable-xray-ai", "organisation": "Kementerian Kesehatan (Kemenkes), national TB programme", "organisation_id": "kemenkes", "country": "Indonesia", "sector": "healthcare", "usecase": "hc-chest-xray-tb-screening", "model_or_product": "AI-assisted portable chest X-ray for TB screening in pesantren and dense settlements; about 10,000 X-ray units to puskesmas in stages (vendor not named)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2026-08-13", "evidence_type": "government statement", "outcome_claims": "About 200,000 people screened with portable X-ray AI to 2025 (Deputy Minister, 9 June 2026); national kick-off 13 August 2026. Distinct from kemenkes-tbscreen-ai and the Harrison.ai and Qure.ai pilots unless the vendor turns out to be one of them", "sources": [ "https://www.kemkes.go.id/id/kemenkes-perluas-skrining-tb-sasar-pesantren-dan-pemukiman-padat-di-seluruh-indonesia", "https://keslan.kemkes.go.id/read/3798/kemenkes-dorong-pengembangan-ekosistem-ai-kesehatan-yang-aman-adil-dan-bertanggung-jawab", "https://health.detik.com/berita-detikhealth/d-8617045/1-72-juta-santri-jadi-sasaran-ckg-dan-skrining-tb-menkes-ungkap-alasannya", "https://m.antaranews.com/amp/berita/5713629/ai-membaca-rontgen-memburu-tbc-sebelum-terlambat" ], "unverified": [ "model", "vendor", "kemkes.go.id", "province" ], "province": "national", "city": "Jakarta Utara (national kick-off)", "group": "Kementerian Kesehatan" }, { "id": "kemenkes-preeclampsia-screening", "organisation": "Kemenkes with Queenrides, PT Tele Cexup Indonesia and Indonesia Prenatal Institute (puskesmas in DKI Jakarta and Garut)", "organisation_id": "kemenkes", "country": "Indonesia", "sector": "healthcare", "usecase": "hc-maternal-risk-screening", "model_or_product": "IoMT and AI preeclampsia screening with ultrasound of uterine and ophthalmic arteries (model not named)", "model_id": null, "vendor": "Queenrides; PT Tele Cexup Indonesia; Indonesia Prenatal Institute", "vendor_country": null, "status": "pilot", "date": "2026-04-21", "evidence_type": "government statement", "outcome_claims": "Early results: detection rate up to 50 percent higher", "sources": [ "https://kemkes.go.id/id/peringati-hari-kartini-kemenkes-perkuat-deteksi-dini-preeklamsia-berbasis-teknologi", "https://www.medcom.id/gaya/fitness-health/Rkj1lqGb-spirit-kartini-kemenkes-satset-pakai-teknologi-buat-deteksi-dini-preeklamsia", "https://en.wikipedia.org/wiki/List_of_regencies_and_cities_of_Indonesia" ], "unverified": [ "vendor", "model", "kemkes.go.id" ], "province": "multi-province", "city": "Jakarta; Kabupaten Garut", "group": "Kementerian Kesehatan", "provinces": [ "DKI Jakarta", "Jawa Barat" ] }, { "id": "ugm-explaindengue", "organisation": "UGM Pusat Kedokteran Tropis", "organisation_id": "universitas-gadjah-mada", "country": "Indonesia", "sector": "healthcare", "usecase": "hc-outbreak-early-warning", "model_or_product": "ExplainDengue: AI on case histories with climate and rainfall data, plus LLM reading of emergency department records", "model_id": null, "vendor": "UGM", "vendor_country": "Indonesia", "status": "research", "date": "2026-10-08", "evidence_type": "company statement", "outcome_claims": "In development; no results", "sources": [ "https://ugm.ac.id/?p=98370" ], "unverified": [ "province", "model" ] }, { "id": "rsui-arogya-supply-chain", "organisation": "RS Universitas Indonesia (RSUI)", "organisation_id": "rsui", "country": "Indonesia", "sector": "healthcare", "usecase": "hc-supply-chain-inventory", "model_or_product": "Arogya.ai AI for medicine and equipment ordering and inventory", "model_id": null, "vendor": "Arogya.ai", "vendor_country": "Indonesia", "status": "planned", "date": "2021-11-06", "evidence_type": "company statement", "outcome_claims": "Announced; none reported", "sources": [ "https://industri.kontan.co.id/news/menggandeng-arogya-rsui-mengatur-supply-chain-dengan-kecerdasan-buatan" ], "unverified": [ "province", "model" ] }, { "id": "apollo-google-screening", "organisation": "Apollo Hospitals with Google Health", "organisation_id": "apollo-hospitals", "country": "India", "sector": "healthcare", "usecase": "hc-chest-xray-tb-screening", "model_or_product": "Google screening models for TB and breast cancer", "model_id": null, "vendor": "Google", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "Scaling to 3 million screenings", "sources": [ "https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders" ], "unverified": [] }, { "id": "manipal-nurse-handoff", "organisation": "Manipal Hospitals", "organisation_id": "manipal-hospitals", "country": "India", "sector": "healthcare", "usecase": "hc-nurse-handoff-reports", "model_or_product": "Gemini on Vertex AI drafting nurse handoff reports", "model_id": null, "vendor": "Google Cloud", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "Nurse handoff from 90 to about 20 minutes per nurse (company claim)", "sources": [ "https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders" ], "unverified": [] }, { "id": "kyoto-university-hospital-cocktailai", "organisation": "Kyoto University Hospital with Fitting Cloud", "organisation_id": "kyoto-university-hospital", "country": "Japan", "sector": "healthcare", "usecase": "hc-clinician-inbox-drafting", "model_or_product": "CocktailAI (Vertex AI, Gemini and MedLM) drafting referral letters and discharge summaries", "model_id": null, "vendor": "Fitting Cloud; Google Cloud", "vendor_country": null, "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "3 to 4 hours a day saved per doctor (claim)", "sources": [ "https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders" ], "unverified": [] }, { "id": "gleamer-radiology-reports", "organisation": "Gleamer", "organisation_id": "gleamer", "country": "France", "sector": "healthcare", "usecase": "hc-radiology-report-generation", "model_or_product": "Radiology reporting with Med-PaLM and Gemini on Vertex AI", "model_id": null, "vendor": "Google Cloud", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "More than 35 million exams a year (claim)", "sources": [ "https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders" ], "unverified": [] }, { "id": "kpi-ruvision-safety", "organisation": "PT Kilang Pertamina Internasional (Pertamina refineries)", "organisation_id": "kilang-pertamina-internasional", "country": "Indonesia", "sector": "oil and gas", "usecase": "ind-safety-ppe", "model_or_product": "RUVision AI video analytics detecting fire, smoke, leaks, PPE use and unsafe behaviour", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2025-10-17", "evidence_type": "company statement", "outcome_claims": "Running at Balikpapan and Dumai refineries; rollout to all refineries planned", "sources": [ "https://investortrust.id/business/82534/kpi-andalkan-ai-dan-big-data-untuk-efisiensi-dan-keselamatan-kilang", "https://www.bloombergtechnoz.com/detail-news/105256/pertamina-patra-niaga-tingkatkan-keamanan-kilang-dengan-ai", "https://en.wikipedia.org/wiki/List_of_regencies_and_cities_of_Indonesia" ], "unverified": [ "vendor", "model" ], "province": "Kalimantan Timur", "city": "Balikpapan", "group": "Pertamina" }, { "id": "kpi-ppms-predictive-maintenance", "organisation": "PT Kilang Pertamina Internasional", "organisation_id": "kilang-pertamina-internasional", "country": "Indonesia", "sector": "oil and gas", "usecase": "ind-predictive-maintenance", "model_or_product": "PPMS Predictive and Prescriptive Maintenance System: machine learning anomaly detection on compressors and pumps", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2025-10-17", "evidence_type": "company statement", "outcome_claims": "Described as existing; sites and results not stated", "sources": [ "https://investortrust.id/business/82534/kpi-andalkan-ai-dan-big-data-untuk-efisiensi-dan-keselamatan-kilang" ], "unverified": [ "province", "vendor", "model" ], "group": "Pertamina" }, { "id": "kpi-mata-crude-price", "organisation": "PT Kilang Pertamina Internasional", "organisation_id": "kilang-pertamina-internasional", "country": "Indonesia", "sector": "oil and gas", "usecase": "ind-commodity-price-forecasting", "model_or_product": "MATA (Market Advanced Tools for Analytics) predicting world crude prices to choose crude base prices and hedging strategies", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2025-10-17", "evidence_type": "company statement", "outcome_claims": "Described as existing; no results stated", "sources": [ "https://investortrust.id/business/82534/kpi-andalkan-ai-dan-big-data-untuk-efisiensi-dan-keselamatan-kilang" ], "unverified": [ "province", "vendor", "model" ], "group": "Pertamina" }, { "id": "pupuk-indonesia-document-ai", "organisation": "PT Pupuk Indonesia with Devoteam", "organisation_id": "pupuk-indonesia", "country": "Indonesia", "sector": "manufacturing", "usecase": "ind-operational-document-processing", "model_or_product": "Google Vision AI and Gemini for document data extraction", "model_id": "google-deepmind-gemini", "vendor": "Google Cloud; Devoteam", "vendor_country": null, "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "Extraction time from 5 to 10 minutes down to 40 to 70 seconds (claim)", "sources": [ "https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders" ], "unverified": [ "province", "model_id", "vendor_country", "group" ], "model_named": "Google Vision AI; Gemini (version not stated)" }, { "id": "akebono-ai-final-inspection", "organisation": "PT Akebono Brake Astra Indonesia (Astra Otoparts group)", "organisation_id": "akebono-brake-astra", "country": "Indonesia", "sector": "manufacturing", "usecase": "ind-visual-inspection", "model_or_product": "AI machine for final inspection of brake pads that flags likely cracks (shown at Hannover Messe 2023)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2023-04-19", "evidence_type": "company statement", "outcome_claims": "In use; scope and results not stated", "sources": [ "https://www.idxchannel.com/economics/otomotif-indonesia-unjuk-gigi-teknologi-ai-di-gelaran-hannover-messe-2023/all" ], "unverified": [ "province", "group", "vendor", "model" ] }, { "id": "pis-simontana-mooring", "organisation": "PT Pertamina International Shipping with Pertamina Marine Engineering", "organisation_id": "pertamina-international-shipping", "country": "Indonesia", "sector": "oil and gas", "usecase": "ind-predictive-maintenance", "model_or_product": "SIMONTANA mooring and port facility predictive maintenance, being upgraded with AI and IoT; AI real-time vessel monitoring already in use", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "planned", "date": "2024-12-09", "evidence_type": "company statement", "outcome_claims": "Vessel monitoring in use; the SIMONTANA AI upgrade is in progress", "sources": [ "https://www.jpnn.com/news/pis-optimalisasi-ai-sektor-maritim-demi-swasembada-energi" ], "unverified": [ "province", "model", "vendor" ], "group": "Pertamina" }, { "id": "buma-m365-copilot", "organisation": "PT BUMA (mining contractor)", "organisation_id": "buma", "country": "Indonesia", "sector": "mining", "usecase": "ind-industrial-copilots", "model_or_product": "Copilot for Microsoft 365 for office productivity", "model_id": null, "vendor": "Microsoft", "vendor_country": "USA", "status": "pilot", "date": "2024-05-07", "evidence_type": "company statement", "outcome_claims": "Pilot with 100 staff", "sources": [ "https://news.microsoft.com/id-id/2024/05/07/transforming-indonesian-businesses-for-an-ai-powered-future-success-stories-from-dana-buma-and-telkom/" ], "unverified": [ "province", "model_id", "group" ], "model_named": "Copilot for Microsoft 365" }, { "id": "petronas-aveva-predictive", "organisation": "PETRONAS", "organisation_id": "petronas", "country": "Malaysia", "sector": "oil and gas", "usecase": "ind-predictive-maintenance", "model_or_product": "AVEVA Predictive Analytics on Azure (about 200 models)", "model_id": null, "vendor": "AVEVA; integrator Trisystem Engineering", "vendor_country": "UK / France", "status": "production", "date": "2021-10-26", "evidence_type": "company statement", "outcome_claims": "51 major early warnings and RM73.1 million value in 2020; expanded to 10 more plants and 150 equipment trains (vendor-reported)", "sources": [ "https://www.frontier-enterprise.com/petronas-cuts-costs-with-ai-infused-aveva-solution-in-the-cloud/" ], "unverified": [] }, { "id": "tata-steel-ai-agents", "organisation": "Tata Steel", "organisation_id": "tata-steel", "country": "India", "sector": "manufacturing", "usecase": "ind-industrial-copilots", "model_or_product": "More than 300 specialised AI agents on Google Cloud", "model_id": null, "vendor": "Google Cloud", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "Deployed in nine months", "sources": [ "https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders" ], "unverified": [] }, { "id": "talgo-tsmart-sophia", "organisation": "Talgo", "organisation_id": "talgo", "country": "Spain", "sector": "manufacturing", "usecase": "ind-predictive-maintenance", "model_or_product": "TSMART train predictive maintenance (more than 30,000 signals a second) and the Sophia maintenance agent on Vertex AI", "model_id": null, "vendor": "Google Cloud", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "No figures stated", "sources": [ "https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders" ], "unverified": [] }, { "id": "weg-wendi", "organisation": "WEG", "organisation_id": "weg", "country": "Brazil", "sector": "manufacturing", "usecase": "ind-condition-monitoring", "model_or_product": "WENDi assistant on Gemini over motor telemetry and documents", "model_id": null, "vendor": "Google Cloud", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "No figures stated", "sources": [ "https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders" ], "unverified": [] }, { "id": "phr-venus", "organisation": "PT Pertamina Hulu Rokan (Minas field)", "organisation_id": "pertamina-hulu-rokan", "country": "Indonesia", "sector": "oil and gas", "usecase": "em-reservoir-production-optimisation", "model_or_product": "VENUS AI expert system (from e-MARS) evaluating many existing wells at once with subsurface and nearby-well data", "model_id": null, "vendor": "Pertamina Hulu Rokan (in-house)", "vendor_country": "Indonesia", "status": "production", "date": "2024-08-26", "evidence_type": "company statement", "outcome_claims": "Production decline at Minas from 11 to 6 percent a year; Rp200 billion from 150 wells (company-reported); Bangko-Balam planned", "sources": [ "https://industri.kontan.co.id/news/kurangi-penurunan-produksi-pertamina-hulu-rokan-kelola-lapangan-migas-menggunakan-ai", "https://finance.detik.com/foto-bisnis/d-5876165/mengembalikan-kejayaan-blok-rokan" ], "unverified": [ "city", "model" ], "province": "Riau", "group": "Pertamina" }, { "id": "phr-cor-drilling", "organisation": "PT Pertamina Hulu Rokan", "organisation_id": "pertamina-hulu-rokan", "country": "Indonesia", "sector": "oil and gas", "usecase": "em-drilling-optimisation", "model_or_product": "C.O.R drilling planning and optimisation", "model_id": null, "vendor": "Pertamina Hulu Rokan (in-house)", "vendor_country": "Indonesia", "status": "pilot", "date": "2026-07-07", "evidence_type": "company statement", "outcome_claims": "Implementation category winner, IOC Digital Hackathon AI/ML Hulu Migas 2026", "sources": [ "https://investortrust.id/business/108746/hackathon-ai-hulu-migas-2026-hasilkan-potensi-nilai-ekonomi-rp-4-67-triliun", "https://finance.detik.com/foto-bisnis/d-5876165/mengembalikan-kejayaan-blok-rokan" ], "unverified": [ "city", "model" ], "province": "Riau", "group": "Pertamina" }, { "id": "phr-alchemist", "organisation": "PT Pertamina Hulu Rokan (Duri field)", "organisation_id": "pertamina-hulu-rokan", "country": "Indonesia", "sector": "oil and gas", "usecase": "em-reservoir-production-optimisation", "model_or_product": "Al-Chemist 2.0 for chemical well stimulation efficiency", "model_id": null, "vendor": "Pertamina Hulu Rokan (in-house)", "vendor_country": "Indonesia", "status": "pilot", "date": "2026-07-07", "evidence_type": "company statement", "outcome_claims": "Implementation category winner, IOC Digital Hackathon AI/ML Hulu Migas 2026", "sources": [ "https://investortrust.id/business/108746/hackathon-ai-hulu-migas-2026-hasilkan-potensi-nilai-ekonomi-rp-4-67-triliun", "https://finance.detik.com/foto-bisnis/d-5876165/mengembalikan-kejayaan-blok-rokan", "https://www.kompas.tv/article/200812/perjalanan-blok-rokan-kembali-ke-pangkuan-indonesia-usai-97-tahun-dikelola-chevron" ], "unverified": [ "model" ], "province": "Riau", "city": "Duri field", "group": "Pertamina" }, { "id": "phr-landguard", "organisation": "PT Pertamina Hulu Rokan", "organisation_id": "pertamina-hulu-rokan", "country": "Indonesia", "sector": "oil and gas", "usecase": "em-land-encroachment-early-warning", "model_or_product": "LandGuard AI early warning for company land assets", "model_id": null, "vendor": "Pertamina Hulu Rokan (in-house)", "vendor_country": "Indonesia", "status": "proof of concept", "date": "2026-07-07", "evidence_type": "company statement", "outcome_claims": "Proof of concept category winner, IOC Digital Hackathon AI/ML Hulu Migas 2026", "sources": [ "https://investortrust.id/business/108746/hackathon-ai-hulu-migas-2026-hasilkan-potensi-nilai-ekonomi-rp-4-67-triliun", "https://finance.detik.com/foto-bisnis/d-5876165/mengembalikan-kejayaan-blok-rokan" ], "unverified": [ "city", "model", "status" ], "province": "Riau", "group": "Pertamina" }, { "id": "phe-oses-sonar", "organisation": "PT Pertamina Hulu Energi OSES", "organisation_id": "phe-oses", "country": "Indonesia", "sector": "oil and gas", "usecase": "em-seismic-subsurface-interpretation", "model_or_product": "SONAR hybrid AI and machine learning subsurface data management", "model_id": null, "vendor": "Pertamina Hulu Energi OSES (in-house)", "vendor_country": "Indonesia", "status": "proof of concept", "date": "2026-07-07", "evidence_type": "company statement", "outcome_claims": "Proof of concept in the IOC Digital Hackathon AI/ML Hulu Migas 2026", "sources": [ "https://investortrust.id/business/108746/hackathon-ai-hulu-migas-2026-hasilkan-potensi-nilai-ekonomi-rp-4-67-triliun" ], "unverified": [ "province", "model", "group" ] }, { "id": "phr-ai-remote-operations", "organisation": "PT Pertamina Hulu Rokan", "organisation_id": "pertamina-hulu-rokan", "country": "Indonesia", "sector": "oil and gas", "usecase": "ind-simulation-operator-training", "model_or_product": "AI-Based Remote Operations for oil and gas fields", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "planned", "date": "2026-07-13", "evidence_type": "company statement", "outcome_claims": "In development; no results", "sources": [ "https://katadata.co.id/digital/teknologi/6a54df53e97d7/pertamina-pakai-ai-untuk-operasi-migas-jarak-jauh", "https://finance.detik.com/foto-bisnis/d-5876165/mengembalikan-kejayaan-blok-rokan" ], "unverified": [ "city", "model", "vendor" ], "province": "Riau", "group": "Pertamina" }, { "id": "skk-migas-aiq", "organisation": "SKK Migas with AI MATRIX JVCO (AIQ, Abu Dhabi)", "organisation_id": "skk-migas", "country": "Indonesia", "sector": "oil and gas", "usecase": "em-agentic-field-operations", "model_or_product": "AI for autonomous operations and asset digitalisation in upstream oil and gas (product not named)", "model_id": null, "vendor": "AIQ (AI MATRIX JVCO)", "vendor_country": "United Arab Emirates", "status": "planned", "date": "2025-10-02", "evidence_type": "government statement", "outcome_claims": "MoU, exploratory; no results", "sources": [ "https://listrikindonesia.com/detail/18102/skk-migas-gandeng-perusahaan-ai-asal-abu-dhabi-untuk-dorong-efisiensi-hulu-migas" ], "unverified": [ "province", "model" ] }, { "id": "pertamina-halliburton-ienergy", "organisation": "PT Pertamina (Persero) with Halliburton Landmark", "organisation_id": "pertamina", "country": "Indonesia", "sector": "oil and gas", "usecase": "em-seismic-subsurface-interpretation", "model_or_product": "iEnergy cloud and DecisionSpace 365 with AI, machine learning and analytics in scope", "model_id": null, "vendor": "Halliburton Landmark", "vendor_country": null, "status": "contract signed", "date": "2020-02-25", "evidence_type": "company statement", "outcome_claims": "Contract awarded; applications deployed on iEnergy", "sources": [ "https://jpt.spe.org/halliburton-signs-support-pertaminas-digital-transformation" ], "unverified": [ "province", "vendor_country", "model" ] }, { "id": "patra-niaga-subsidi-tepat-ai", "organisation": "PT Pertamina Patra Niaga", "organisation_id": "pertamina-patra-niaga", "country": "Indonesia", "sector": "energy", "usecase": "em-subsidised-fuel-eligibility", "model_or_product": "AI document and photo verification of identity cards, vehicle registrations and vehicle photos for Subsidi Tepat QR code registration, matched to Korlantas data", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2024-09-03", "evidence_type": "company statement", "outcome_claims": "Three times faster than 140 manual verifiers (company statement)", "sources": [ "https://www.gridoto.com/read/224145391/banyak-yang-belum-paham-begini-cara-cepat-lolos-verifikasi-pendaftaran-qr-code-pertamina?page=all" ], "unverified": [ "province", "vendor", "model", "group" ] }, { "id": "pge-genius-assistant", "organisation": "PT Pertamina Geothermal Energy", "organisation_id": "pertamina-geothermal-energy", "country": "Indonesia", "sector": "energy", "usecase": "ind-industrial-copilots", "model_or_product": "GENIUS AI work assistant on internal data (model not named)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2026-07-14", "evidence_type": "company statement", "outcome_claims": "Launched; no results stated", "sources": [ "https://www.indotelko.com/read/1783981126/inovasi-digital-g-bionic-percepat-target-3-gw-pge" ], "unverified": [ "province", "model", "group" ] }, { "id": "pln-esri-smartdvm", "organisation": "PT PLN (Persero) with Esri Indonesia", "organisation_id": "pln", "country": "Indonesia", "sector": "energy", "usecase": "em-power-line-inspection", "model_or_product": "SmartDVM vegetation risk management for distribution networks: satellite imagery and GeoAI on ArcGIS predicting vegetation likely to cause outages and prioritising pruning", "model_id": null, "vendor": "Esri Indonesia", "vendor_country": "Indonesia", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "About 85 percent accuracy against manual field validation (vendor-reported); case study date not stated", "sources": [ "https://esriindonesia.co.id/industries/utilities/gis-in-electricity" ], "unverified": [ "province", "model" ] }, { "id": "pln-ibm-predictive-maintenance", "organisation": "PT PLN (Persero) with IBM", "organisation_id": "pln", "country": "Indonesia", "sector": "energy", "usecase": "ind-predictive-maintenance", "model_or_product": "IBM predictive maintenance for generation and distribution assets (product not named); AI for smart grid load balancing under discussion", "model_id": null, "vendor": "IBM", "vendor_country": "USA", "status": "production", "date": "2024-03-09", "evidence_type": "company statement", "outcome_claims": "In use for about 10 years according to IBM; smart grid AI planned", "sources": [ "https://www.fortuneidn.com/business/dapat-penugasan-ibm-bantu-pln-kembangkan-smart-grid-00-29s55-w9dk3t", "https://www.fortuneidn.com/business/dapat-penugasan-ibm-bantu-pln-kembangkan-smart-grid-00-29s55-w9dk3t/amp" ], "unverified": [ "province", "model" ] }, { "id": "pln-ip-huawei-inspection", "organisation": "PLN Indonesia Power with Huawei (PLTU Banten 3 Lontar)", "organisation_id": "pln-indonesia-power", "country": "Indonesia", "sector": "energy", "usecase": "ind-safety-ppe", "model_or_product": "AI intelligent inspection and HSSE digitalisation at a coal power plant", "model_id": null, "vendor": "Huawei", "vendor_country": "China", "status": "research", "date": "2025-11-26", "evidence_type": "company statement", "outcome_claims": "Joint Study Agreement; pilot to be decided", "sources": [ "https://www.fortuneidn.com/business/pln-ip-gandeng-huawei-terapkan-ai-untuk-pembangkit-cerdas-00-4vfn9-fyss7q", "https://wartaekonomi.co.id/read591831/pln-ip-gandeng-huawei-kembangkan-inspeksi-cerdas-dan-digitalisasi-hsse-di-pltu-lontar", "https://www.petromindo.com/news/article/pln-ip-huawei-to-develop-ai-based-plant-solutions-at-banten-3-lontar" ], "unverified": [ "province,", "model", "group", "status" ] }, { "id": "freeport-telkom-5g-safety", "organisation": "PT Freeport Indonesia with Telkom Group", "organisation_id": "freeport-indonesia", "country": "Indonesia", "sector": "mining", "usecase": "ind-safety-ppe", "model_or_product": "5G underground smart mining with AI-connected cameras for injury risk", "model_id": null, "vendor": "Telkom Group", "vendor_country": "Indonesia", "status": "production", "date": "2022-09-01", "evidence_type": "government statement", "outcome_claims": "Launched by the President; no results stated", "sources": [ "https://setkab.go.id/en/president-jokowi-launches-first-5g-mining-technology-in-southeast-asia/", "https://en.wikipedia.org/wiki/Grasberg_mine" ], "unverified": [ "model", "group" ], "province": "Papua Tengah", "city": "Kabupaten Mimika (Tembagapura District)" }, { "id": "mind-id-smelter-ai-study", "organisation": "MIND ID", "organisation_id": "mind-id", "country": "Indonesia", "sector": "mining", "usecase": "ind-process-optimisation", "model_or_product": "AI for smelter process optimisation, vision recognition of ore quality, predictive maintenance and ESG monitoring (not named)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "research", "date": "2025-10-14", "evidence_type": "company statement", "outcome_claims": "Under study; savings of millions of US dollars expected (company statement)", "sources": [ "https://katadata.co.id/amp/berita/energi/68edf92638886/mind-id-kaji-penerapan-ai-pada-smelter-bisa-hemat-jutaan-dolar-as/" ], "unverified": [ "province", "model", "vendor", "status" ], "group": "MIND ID" }, { "id": "tnb-grid-ai", "organisation": "Tenaga Nasional Berhad (TNB)", "organisation_id": "tnb", "country": "Malaysia", "sector": "energy", "usecase": "em-grid-operations-monitoring", "model_or_product": "Tripping pattern analysis, 11kV underground cable predictive maintenance and visual field safety checks", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2026-05-19", "evidence_type": "company statement", "outcome_claims": "In use; no figures stated", "sources": [ "https://ringgitplus.com/en/blog/personal-finance-news/tenaga-nasional-berhad-turns-to-ai-to-run-a-smarter-more-reliable-power-grid.html" ], "unverified": [] }, { "id": "aes-safety-audit-agents", "organisation": "AES", "organisation_id": "aes", "country": null, "sector": "energy", "usecase": "ind-hse-reporting-training-content", "model_or_product": "Generative AI agents on Vertex AI with Anthropic Claude running safety audits", "model_id": null, "vendor": "Google Cloud; Anthropic", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "Safety audits from 14 days to one hour (claim); country not stated", "sources": [ "https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders" ], "unverified": [] }, { "id": "axia-energy-storm-forecasting", "organisation": "Axia Energy", "organisation_id": "axia-energia", "country": "Brazil", "sector": "energy", "usecase": "em-grid-operations-monitoring", "model_or_product": "Google Cloud AI forecasting severe storms so power can be rerouted", "model_id": null, "vendor": "Google Cloud", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "No figures stated", "sources": [ "https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders" ], "unverified": [] }, { "id": "elia-eco2grid", "organisation": "Elia Group", "organisation_id": "elia-group", "country": "multi-country", "sector": "energy", "usecase": "em-renewable-energy-market-forecasting", "model_or_product": "eCO2grid on Vertex AI (Belgium and Germany)", "model_id": null, "vendor": "Google Cloud", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "No figures stated", "sources": [ "https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders" ], "unverified": [] }, { "id": "sce-geospatial-ai", "organisation": "Southern California Edison", "organisation_id": "southern-california-edison", "country": "USA", "sector": "energy", "usecase": "em-geospatial-climate-resilience", "model_or_product": "Geospatial AI on Google Cloud", "model_id": null, "vendor": "Google Cloud", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "No figures stated", "sources": [ "https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders" ], "unverified": [] }, { "id": "pertamina-nre-plts-drone-ai", "organisation": "Pertamina New & Renewable Energy (Pertamina NRE)", "organisation_id": "pertamina-nre", "country": "Indonesia", "sector": "energy", "usecase": "ind-visual-inspection", "model_or_product": "Drone plus AI inspection of a solar power plant in Riau for hot spots and panel anomalies (AI software not named)", "model_id": null, "vendor": "Terra Drone Indonesia (drones); AI vendor not stated", "vendor_country": "Indonesia / Japan", "status": "production", "date": "2025-04-24", "evidence_type": "company statement", "outcome_claims": "Inspection completed December 2024, to repeat periodically; none measured", "sources": [ "https://listrikindonesia.com/detail/16379/pertama-di-indonesia-pertamina-nre-terapkan-teknologi-ai-untuk-inspeksi-plts" ], "unverified": [ "city", "model" ], "province": "Riau", "group": "Pertamina" }, { "id": "phr-dice", "organisation": "PT Pertamina Hulu Rokan (PHR)", "organisation_id": "pertamina-hulu-rokan", "country": "Indonesia", "sector": "oil and gas", "usecase": "ind-sensor-anomaly-detection", "model_or_product": "DICE (Digital and Innovation Center): AI-supported big data centre monitoring thousands of wells in near real time on 66 screens at Rumbai, Pekanbaru (model not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2025-10-17", "evidence_type": "company statement", "outcome_claims": "Production decline at WK Rokan held from 11 percent a year to 0 percent (company claim)", "sources": [ "https://www.kabarbursa.com/makro/pertamina-ungkap-pemanfaatan-ai-teknologi-baru-dalam-produksi-minyak", "https://en.wikipedia.org/wiki/List_of_regencies_and_cities_of_Indonesia" ], "unverified": [ "model", "vendor" ], "province": "Riau", "city": "Pekanbaru (Rumbai)", "group": "Pertamina" }, { "id": "pertamina-digital-hub-ai", "organisation": "PT Pertamina (Persero), via PT Pertamina Digital Hub", "organisation_id": "pertamina", "country": "Indonesia", "sector": "oil and gas", "usecase": "em-seismic-subsurface-interpretation", "model_or_product": "AI for exploration location decisions; machine learning to optimise gas pipeline use; AI to cut downstream fuel transport working loss (models and vendors not stated)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2026-06-18", "evidence_type": "company statement", "outcome_claims": "Exploration success ratio up 10 percent, pipeline efficiency up 2.9 percent, working loss down 60 percent; AI value USD 50 million in 2025; target USD 300 million extra EBITDA in 2027 (company claims)", "sources": [ "https://www.fortuneidn.com/business/terapkan-ai-pertamina-bidik-pertambahan-ebitda-us-300-juta-di-2027-00-6cmtl-2kjj8r" ], "unverified": [ "province", "model", "vendor" ] }, { "id": "amman-aida", "organisation": "PT Amman Mineral Nusa Tenggara (AMMAN)", "organisation_id": "amman-mineral", "country": "Indonesia", "sector": "mining", "usecase": "ind-process-optimisation", "model_or_product": "AIDA (Artificial Intelligence Dashboard Automation) with a Set Point Optimizer recommending reagent dosage and water flow in the Batu Hijau processing plant", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2026-07-08", "evidence_type": "company statement", "outcome_claims": "Mineral recovery up about 2.5 percent at Batu Hijau; recommendations reviewed by staff every four hours (company claim)", "sources": [ "https://english.kontan.co.id/news/amman-deploys-ai-to-boost-mineral-recovery-improve-mining-efficiency", "https://en.wikipedia.org/wiki/Batu_Hijau_mine" ], "unverified": [ "model", "vendor", "group" ], "province": "Nusa Tenggara Barat", "city": "Kabupaten Sumbawa Barat" }, { "id": "kpk-lhkpn-ai", "organisation": "Komisi Pemberantasan Korupsi (KPK)", "organisation_id": "kpk", "country": "Indonesia", "sector": "public sector", "usecase": "pub-anti-corruption-anomaly-detection", "model_or_product": "AI checks of LHKPN wealth declarations with red-flag scoring and NIK and NIP matching (system not named)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "pilot", "date": "2025", "evidence_type": "government statement", "outcome_claims": "In use since 2025 (stated 28 January 2026); no figures", "sources": [ "https://tirto.id/kpk-adopsi-ai-periksa-lhkpn-pejabat-negara-sejak-2025-hp3n" ], "unverified": [ "province", "model", "vendor" ] }, { "id": "lkpp-eaudit-katalog-v6", "organisation": "LKPP with BPKP and KPK", "organisation_id": "lkpp", "country": "Indonesia", "sector": "public sector", "usecase": "pub-anti-corruption-anomaly-detection", "model_or_product": "e-Audit Katalog V6: early warning on anomalous e-catalogue transactions; AI product recognition despite altered brand or visuals", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2025-12-08", "evidence_type": "government statement", "outcome_claims": "Launched; no results stated", "sources": [ "https://timesindonesia.co.id/peristiwa-daerah/568364/ri-perkuat-benteng-antikorupsi-lkppbpkpkpk-luncurkan-sistem-eaudit-katalog-v6-di-yogyakarta" ], "unverified": [ "model", "vendor" ], "province": "national", "city": "Yogyakarta (launch city)" }, { "id": "bpk-aifor", "organisation": "Badan Pemeriksa Keuangan (BPK)", "organisation_id": "bpk", "country": "Indonesia", "sector": "public sector", "usecase": "pub-anti-corruption-anomaly-detection", "model_or_product": "AIFOR (Artificial Intelligence Forecast Audit) for state audits", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "planned", "date": "2026-08-03", "evidence_type": "government statement", "outcome_claims": "Planned from 2027; none", "sources": [ "https://www.inews.id/news/nasional/terobosan-baru-bpk-bakal-pakai-ai-untuk-audit-mulai-2027" ], "unverified": [ "province", "model", "vendor", "status" ] }, { "id": "komdigi-mafindo-deepfake-detector", "organisation": "Komdigi with Mafindo", "organisation_id": "komdigi", "country": "Indonesia", "sector": "public sector", "usecase": "pub-disinformation-content-detection", "model_or_product": "AI deepfake detector for video, image and audio, extending the CekFakta portal (name not given)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "pilot", "date": "2025-06-27", "evidence_type": "government statement", "outcome_claims": "Soft launch; no results", "sources": [ "https://www.suarasurabaya.net/kelanakota/2025/komdigi-gandeng-mafindo-siapkan-alat-deteksi-deepfake-gunakan-ai/" ], "unverified": [ "province", "model", "vendor" ], "group": "Kementerian Komunikasi dan Digital" }, { "id": "polri-command-center-ai", "organisation": "Polri, Divisi TIK (Command Center)", "organisation_id": "polri", "country": "Indonesia", "sector": "public sector", "usecase": "pub-police-identification-video-analytics", "model_or_product": "AI integration in the Command Center for 26 Polda and 36 Polres: machine learning video analytics on CCTV and body-worn cameras; predictive policing an aim", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "pilot", "date": "2025-05-26", "evidence_type": "government statement", "outcome_claims": "Video analytics in field use; predictive policing an aim; no figures", "sources": [ "https://news.republika.co.id/berita/sww53p484/integrasi-ai-command-center-polri-cakup-26-polda-dan-36-polres" ], "unverified": [ "province", "model", "vendor" ], "province": "multi-province", "group": "Polri", "provinces": [ "26 Polda regions (not named in the source)" ] }, { "id": "polda-sulut-face-recognition", "organisation": "Polda Sulawesi Utara (Ditreskrimum), equipment from Bareskrim Polri", "organisation_id": "polri", "country": "Indonesia", "sector": "public sector", "usecase": "pub-police-identification-video-analytics", "model_or_product": "Portable face recognition with a 360-degree camera linked to KTP data, Starlink connected (model not named)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "pilot", "date": "2026-08-05", "evidence_type": "government statement", "outcome_claims": "First trial at TIFF Tomohon, 7 to 12 August 2026", "sources": [ "https://rri.co.id/manado/regional/2629153/face-recognition-berbasis-data-ktp-jadi-andalan-baru-polda-sulut-di-tiff-2026" ], "unverified": [ "city", "model", "vendor" ], "province": "Sulawesi Utara", "group": "Polri" }, { "id": "komdigi-sim-biometric-registration", "organisation": "Komdigi and Dukcapil (Kemendagri); all mobile operators", "organisation_id": "komdigi", "country": "Indonesia", "sector": "public sector", "usecase": "pub-biometric-identity-verification", "model_or_product": "Face biometric registration of new SIM cards validated against the Dukcapil population database", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "planned", "date": "2025-12-17", "evidence_type": "government statement", "outcome_claims": "As announced: voluntary trial 1 January to 30 June 2026, mandatory for new customers from 1 July 2026; biometric data validated by Dukcapil and not stored by operators", "sources": [ "https://investortrust.id/business/88850/kemenkomdigi-pastikan-data-biometrik-pengguna-sim-card-divalidasi-dukcapil-tak-disimpan-operator" ], "unverified": [ "model", "vendor" ], "province": "national", "group": "Kementerian Komunikasi dan Digital" }, { "id": "telkomsel-biometric-grapari", "organisation": "Telkomsel", "organisation_id": "telkomsel", "country": "Indonesia", "sector": "telecom", "usecase": "pub-biometric-identity-verification", "model_or_product": "Face recognition matched to Dukcapil data for SIM registration and replacement in MyGraPARI and GraPARI Online (vendor not named)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "pilot", "date": "2024-10-07", "evidence_type": "company statement", "outcome_claims": "Trial reported successful", "sources": [ "https://investortrust.id/business/43238/telkomsel-sukses-uji-coba-teknologi-biometrik-di-grapari" ], "unverified": [ "province", "model", "vendor", "group" ] }, { "id": "kai-face-recognition-boarding", "organisation": "PT Kereta Api Indonesia (KAI)", "organisation_id": "kai", "country": "Indonesia", "sector": "transport", "usecase": "pub-biometric-identity-verification", "model_or_product": "Face recognition boarding gates at 22 stations", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2025-08-24", "evidence_type": "company statement", "outcome_claims": "About 16.39 million passengers over three years. The source does not use the word AI", "sources": [ "https://industri.kontan.co.id/news/boarding-kereta-jadi-lebih-cepat-kai-terapkan-face-recognition-di-22-stasiun", "https://www.metrotvnews.com/read/kBVCM4Xp-face-recognition-tersedia-di-22-stasiun-simak-syarat-dan-cara-registrasinya", "https://en.wikipedia.org/wiki/List_of_regencies_and_cities_of_Indonesia" ], "unverified": [ "provinces", "model", "vendor", "kontan.co.id" ], "province": "multi-province", "city": "Gambir; Pasar Senen; Bekasi; Bandung; Kiaracondong; Cirebon; Cirebon Prujakan; Semarang Tawang; Semarang Poncol; Pekalongan; Tegal; Purwokerto; Kutoarjo; Yogyakarta; Lempuyangan; Solo Balapan; Madiun; Surabaya Pasarturi; Surabaya Gubeng; Malang; Jember; Medan (stations)", "provinces": [ "DKI Jakarta", "Jawa Barat", "Jawa Tengah", "DI Yogyakarta", "Jawa Timur", "Sumatera Utara" ] }, { "id": "imigrasi-autogates-soetta", "organisation": "Direktorat Jenderal Imigrasi", "organisation_id": "imigrasi", "country": "Indonesia", "sector": "public sector", "usecase": "pub-biometric-identity-verification", "model_or_product": "Autogates with face recognition integrated with Border Control Management at Soekarno-Hatta Terminal 3", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2023-10-02", "evidence_type": "government statement", "outcome_claims": "24 units from 2 October 2023, 26 more planned; no results in the release", "sources": [ "http://www.imigrasi.go.id/siaran_pers/2023/10/03/pemeriksaan-imigrasi-di-bandara-soetta-semakin-cepat-dengan-autogate-baru-berbekal-teknologi-face-recognition?lang=id-ID", "https://en.wikipedia.org/wiki/Soekarno%E2%80%93Hatta_International_Airport" ], "unverified": [ "the", "city", "model", "vendor" ], "province": "Banten", "city": "Kota Tangerang (Soekarno-Hatta Airport, Terminal 3)" }, { "id": "kai-commuter-cctv-face", "organisation": "PT KAI Commuter", "organisation_id": "kai-commuter", "country": "Indonesia", "sector": "transport", "usecase": "pub-police-identification-video-analytics", "model_or_product": "CCTV analytics with face recognition at Jabodetabek KRL stations to detect offenders", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2023-08-23", "evidence_type": "company statement", "outcome_claims": "Company says it helped identify offenders; no figures. Listed as an incident in the OECD AI Incidents Monitor", "sources": [ "https://news.detik.com/berita/d-6891594/ada-cctv-perekam-wajah-di-stasiun-krl-deteksi-copet-hingga-pelaku-asusila", "https://oecd.ai/en/incidents/2023-08-23-ce4c", "https://en.wikipedia.org/wiki/List_of_regencies_and_cities_of_Indonesia" ], "unverified": [ "model", "vendor", "group" ], "province": "multi-province", "city": "Jabodetabek Commuter Line stations (Manggarai and Cisauk named)", "provinces": [ "DKI Jakarta", "Jawa Barat", "Banten" ] }, { "id": "bmkg-rainy-season-ai", "organisation": "Badan Meteorologi, Klimatologi, dan Geofisika (BMKG)", "organisation_id": "bmkg", "country": "Indonesia", "sector": "public sector", "usecase": "ag-weather-forecasting", "model_or_product": "AI-based rainy season prediction to district level, combining ocean and atmospheric signals with local anomalies (model not named)", "model_id": null, "vendor": "BMKG", "vendor_country": "Indonesia", "status": "production", "date": "2025-09-23", "evidence_type": "government statement", "outcome_claims": "Used in the Climate Outlook 2025 (BMKG head); no accuracy figures", "sources": [ "https://momsmoney.kontan.co.id/news/bmkg-hadirkan-ai-buat-bantu-prediksi-musim-hujan-20252026-yang-lebih-akurat" ], "unverified": [ "model" ], "province": "national" }, { "id": "indonesia-govtech-ai-platform", "organisation": "Komite Percepatan Transformasi Digital Pemerintah (GovTech programme); pilot regencies including Banyuwangi", "organisation_id": null, "country": "Indonesia", "sector": "public sector", "usecase": "pub-egov-services", "model_or_product": "AI-based GovTech platform", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "pilot", "date": "2026-06-30", "evidence_type": "government statement", "outcome_claims": "Pilots in 43 regencies and cities; Banyuwangi pilot improved social assistance targeting; national launch scheduled for October 2026", "sources": [ "https://rri.co.id/en/national/2538376/indonesia-to-launch-ai-based-govtech-platform-in-october-2026", "https://en.antaranews.com/news/420955/indonesia-sees-govtechsaving-over-84-billion-in-state-spending", "https://en.antaranews.com/news/373285/indonesia-gears-for-ai-driven-deregulation-amid-govtech-push" ], "unverified": [ "province", "model", "vendor", "rri.co.id" ], "province": "multi-province", "city": "Banyuwangi; Surabaya", "provinces": [ "Jawa Timur (Banyuwangi, Surabaya)", "others among 43 regencies and cities not named" ] }, { "id": "surabaya-permit-ai", "organisation": "Pemerintah Kota Surabaya (DPM-PTSP)", "organisation_id": "pemkot-surabaya", "country": "Indonesia", "sector": "public sector", "usecase": "pub-permit-licence-processing", "model_or_product": "AI screening of required business permit types from KBLI data", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "planned", "date": "2025-03-10", "evidence_type": "government statement", "outcome_claims": "None", "sources": [ "https://www.suarasurabaya.net/kelanakota/2025/pemkot-surabaya-siapkan-layanan-drive-thru-untuk-pengurusan-perizinan/", "https://en.wikipedia.org/wiki/List_of_regencies_and_cities_of_Indonesia" ], "unverified": [ "model", "vendor", "status" ], "province": "Jawa Timur", "city": "Kota Surabaya" }, { "id": "govtech-sg-transcribe", "organisation": "GovTech Singapore", "organisation_id": "govtech-singapore", "country": "Singapore", "sector": "public sector", "usecase": "pub-speech-transcription-minutes", "model_or_product": "Transcribe: speech-to-text, summaries and minutes in four national languages (model not named)", "model_id": null, "vendor": "GovTech Singapore", "vendor_country": "Singapore", "status": "production", "date": null, "evidence_type": "government statement", "outcome_claims": "First used in Parliament; page updated 22 August 2025", "sources": [ "https://www.tech.gov.sg/products-and-services/for-government-agencies/productivity-and-marketing/transcribe/" ], "unverified": [] }, { "id": "govtech-sg-aibots", "organisation": "GovTech Singapore (115 agencies)", "organisation_id": "govtech-singapore", "country": "Singapore", "sector": "public sector", "usecase": "pub-public-officer-assistant", "model_or_product": "AIBots: retrieval-augmented chatbot builder for public officers (model not named)", "model_id": null, "vendor": "GovTech Singapore", "vendor_country": "Singapore", "status": "production", "date": null, "evidence_type": "government statement", "outcome_claims": "40,000 users and 12,000 bots (August 2024 to February 2025)", "sources": [ "https://www.tech.gov.sg/products-and-services/for-government-agencies/productivity-and-marketing/aibots/" ], "unverified": [] }, { "id": "govtech-sg-pair-search", "organisation": "GovTech Singapore", "organisation_id": "govtech-singapore", "country": "Singapore", "sector": "public sector", "usecase": "pub-policy-drafting-tracking", "model_or_product": "Pair Search: prototype search over Hansard, Supreme Court judgments and legislation", "model_id": null, "vendor": "GovTech Singapore", "vendor_country": "Singapore", "status": "proof of concept", "date": null, "evidence_type": "government statement", "outcome_claims": "Prototype", "sources": [ "https://www.tech.gov.sg/products-and-services/for-government-agencies/productivity-and-marketing/pair/" ], "unverified": [] }, { "id": "djbc-xray-ceisa-ai", "organisation": "Directorate General of Customs and Excise (DJBC), KPU Bea Cukai Soekarno-Hatta", "organisation_id": "djbc", "country": "Indonesia", "sector": "tax and customs", "usecase": "pub-customs-risk-management", "model_or_product": "Air cargo X-ray images integrated into CEISA 4.0 with AI-based lane assignment and a central X-ray image repository (model and vendor not named)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2026-10-08", "evidence_type": "government statement", "outcome_claims": "Mandatory stage 1 from 8 October 2026 (FedEx, RPX); all temporary storage sites from January 2027. FedEx trial from June 2026: clearance release up nearly 20 percent, X-ray handling time down about 30 percent (company claim)", "sources": [ "https://www.fortuneidn.com/news/bea-cukai-perketat-barang-impor-x-ray-ai-wajib-mulai-januari-2027-00-my5jv-rpy2d2", "https://en.wikipedia.org/wiki/Soekarno%E2%80%93Hatta_International_Airport" ], "unverified": [ "model", "vendor" ], "province": "Banten", "city": "Tangerang (Soekarno-Hatta Airport TPS)", "group": "Kementerian Keuangan" }, { "id": "brin-bugis-translation", "organisation": "BRIN PRSDI with Universitas Hasanuddin and Universitas Handayani", "organisation_id": "brin", "country": "Indonesia", "sector": "public sector", "usecase": "pub-translation", "model_or_product": "LLM-based multilingual translation platform with Bugis as base language (text, audio and video to text, subtitles), about 14,000 Bugis words", "model_id": null, "vendor": "BRIN", "vendor_country": "Indonesia", "status": "research", "date": "2025-06-28", "evidence_type": "government statement", "outcome_claims": "Prototype on a local network only", "sources": [ "https://rri.co.id/en/technology/1619393/brin-builds-multilingual-ai-model-for-bugis-language-preservation" ], "unverified": [ "province", "model" ] }, { "id": "kemenkeu-insw-tax-ai", "organisation": "Kementerian Keuangan with Lembaga National Single Window (LNSW)", "organisation_id": "kemenkeu", "country": "Indonesia", "sector": "tax and customs", "usecase": "pub-tax-administration", "model_or_product": "AI on INSW export and import data to estimate company tax potential and flag underpayment", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "pilot", "date": "2026-09-12", "evidence_type": "government statement", "outcome_claims": "In development; the Minister says accuracy is fairly high, no figures", "sources": [ "https://infobanknews.com/purbaya-perkuat-sistem-insw-dengan-ai-potensi-pajak-dibidik-lebih-akurat" ], "unverified": [ "province", "model", "vendor" ], "group": "Kementerian Keuangan" }, { "id": "jatim-agentic-ai", "organisation": "Pemerintah Provinsi Jawa Timur", "organisation_id": "pemprov-jawa-timur", "country": "Indonesia", "sector": "public sector", "usecase": "pub-public-officer-assistant", "model_or_product": "Agentic AI on LLMs for process automation (433 IT staff involved); CERDAS DIGITAL programme with Komdigi, Universitas Brawijaya, Microsoft, Google and AWS (tools not named)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2026-06-12", "evidence_type": "government statement", "outcome_claims": "No named system; two awards at the GARUDA AI Impact Summit 2026", "sources": [ "https://jatim.antaranews.com/berita/1073216/pemprov-jatim-raih-penghargaan-atas-pemanfaatan-ai-di-pemerintahan" ], "unverified": [ "city", "model", "vendor" ], "province": "Jawa Timur" }, { "id": "transjakarta-ai", "organisation": "PT Transportasi Jakarta (Transjakarta)", "organisation_id": "transjakarta", "country": "Indonesia", "sector": "transport", "usecase": "pub-smart-city-operations", "model_or_product": "Machine vision on CCTV counting waiting passengers and tracking the fleet; generative AI customer agent with text-to-speech; route and frequency recommendation engine; Driver Monitoring System being implemented", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "pilot", "date": "2025-07-18", "evidence_type": "company statement", "outcome_claims": "Three AI systems in development; none measured", "sources": [ "https://en.antaranews.com/news/367189/transjakarta-develops-ai-tech-to-improve-transport-services" ], "unverified": [ "city", "model", "vendor", "group" ], "province": "DKI Jakarta" }, { "id": "kai-kata-ai-voice", "organisation": "PT Kereta Api Indonesia (KAI)", "organisation_id": "kai", "country": "Indonesia", "sector": "transport", "usecase": "pub-citizen-service-assistant", "model_or_product": "Kata.ai voice AI handling customer enquiries and service requests", "model_id": null, "vendor": "Kata.ai", "vendor_country": "Indonesia", "status": "production", "date": "2025-03-26", "evidence_type": "company statement", "outcome_claims": "None stated", "sources": [ "https://www.theasianbanker.com/updates-and-articles/kata-ai-expands-conversational-ai-for-financial-services-and-beyond" ], "unverified": [ "province", "model", "group" ] }, { "id": "goto-cs-ai-agents", "organisation": "GoTo (Gojek, Tokopedia financial and lending units)", "organisation_id": "goto", "country": "Indonesia", "sector": "retail and logistics", "usecase": "ret-post-purchase-customer-service", "model_or_product": "AI agents on fine-tuned open models (7B, 9B and the self-developed 27B, all deployed) plus frontier models for complex cases", "model_id": null, "vendor": "GoTo (in-house)", "vendor_country": "Indonesia", "status": "production", "date": "2026-09-15", "evidence_type": "company statement", "outcome_claims": "About 35 percent of complaint and enquiry tickets; satisfaction up 20 percent; collections bot raised recovery 3 points; company-wide rollout planned for 2027 (company claims)", "sources": [ "https://aitoolly.com/zh/ai-news/article/2026-09-16-goto-adopts-pragmatic-ai-strategy-focused-on-conversion-and-cost-efficiency-ahead-of-2027-rollout" ], "unverified": [ "province", "model_id", "source" ], "model_named": "fine-tuned open models of 7B and 9B parameters and a 27B model optimised for local languages (names not given); frontier commercial models for complex cases" }, { "id": "shopee-chatgpt-app", "organisation": "Sea Limited (Shopee)", "organisation_id": "sea-limited", "country": "multi-country", "sector": "retail and logistics", "usecase": "ret-agentic-commerce", "model_or_product": "Shopee app inside ChatGPT", "model_id": null, "vendor": "OpenAI", "vendor_country": "USA", "status": "production", "date": "2026-06-22", "evidence_type": "company statement", "outcome_claims": "Live in Indonesia, Malaysia, the Philippines, Singapore, Thailand, Taiwan, Vietnam and Brazil", "sources": [ "https://www.sea.com/news/406" ], "unverified": [] }, { "id": "shopee-seller-chatgpt-business", "organisation": "Sea Limited (Shopee)", "organisation_id": "sea-limited", "country": "multi-country", "sector": "retail and logistics", "usecase": "ret-seller-copilots", "model_or_product": "ChatGPT for Business trials for eligible Shopee sellers", "model_id": null, "vendor": "OpenAI", "vendor_country": "USA", "status": "pilot", "date": "2026-06-22", "evidence_type": "company statement", "outcome_claims": "Seller trials offered; no results", "sources": [ "https://www.sea.com/news/406", "https://www.bigseller.pro/blog/articleDetails/4768/sea-limited-openai-southeast-asia.htm" ], "unverified": [] }, { "id": "sea-google-agentic-shopping", "organisation": "Sea Limited (Shopee, Monee, Garena) with Google", "organisation_id": "sea-limited", "country": "multi-country", "sector": "retail and logistics", "usecase": "ret-agentic-commerce", "model_or_product": "AI agentic shopping prototype on Shopee (to be explored)", "model_id": null, "vendor": "Google", "vendor_country": "USA", "status": "planned", "date": "2026-02-20", "evidence_type": "company statement", "outcome_claims": "Exploratory; Southeast Asia", "sources": [ "https://www.cxodigitalpulse.com/google-sea-join-forces-to-develop-agentic-ai-for-e-commerce-and-gaming/" ], "unverified": [] }, { "id": "lazada-lazziechat", "organisation": "Lazada", "organisation_id": "lazada", "country": "multi-country", "sector": "retail and logistics", "usecase": "ret-conversational-shopping-assistant", "model_or_product": "LazzieChat on ChatGPT via Azure OpenAI Service, with a Bahasa Indonesia version", "model_id": null, "vendor": "Microsoft (Azure OpenAI Service)", "vendor_country": "USA", "status": "production", "date": "2023-05-24", "evidence_type": "company statement", "outcome_claims": "Launched in Indonesia, Singapore and the Philippines", "sources": [ "https://news.microsoft.com/en-sg/2023/05/30/lazada-unveils-lazziechat-the-first-ecommerce-ai-chatbot-of-its-kind-in-se-asia/" ], "unverified": [] }, { "id": "tokopedia-vertex-catalogue", "organisation": "Tokopedia", "organisation_id": "tokopedia", "country": "Indonesia", "sector": "retail and logistics", "usecase": "ret-catalogue-content-quality", "model_or_product": "Vertex AI to improve product data quality", "model_id": null, "vendor": "Google Cloud", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "Unique products sold up 5 percent (claim)", "sources": [ "https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders" ], "unverified": [ "province", "model", "group" ] }, { "id": "erajaya-dialogflow-vertex", "organisation": "Erajaya (Eraspace, iBox)", "organisation_id": "erajaya", "country": "Indonesia", "sector": "retail and logistics", "usecase": "ret-post-purchase-customer-service", "model_or_product": "Dialogflow and Vertex AI for customer service and semantic search", "model_id": null, "vendor": "Google Cloud", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "No figures stated", "sources": [ "https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders" ], "unverified": [ "province", "model", "group" ] }, { "id": "blibli-instant-returns", "organisation": "PT Global Digital Niaga (Blibli)", "organisation_id": "blibli", "country": "Indonesia", "sector": "retail and logistics", "usecase": "ret-returns-damage-detection", "model_or_product": "AI Damage Product Detection and Auto Solution Recommendation (Solusi Retur Instan)", "model_id": null, "vendor": "Blibli (in-house)", "vendor_country": "Indonesia", "status": "production", "date": "2024-01-25", "evidence_type": "company statement", "outcome_claims": "Nearly 50 percent less processing time (company figure)", "sources": [ "https://selular.id/2024/01/blibli-terapkan-ai-dan-ml-konsumen-kini-bisa-retur-instan/" ], "unverified": [ "province", "model" ] }, { "id": "blibli-warehouse-ai", "organisation": "PT Global Digital Niaga (Blibli)", "organisation_id": "blibli", "country": "Indonesia", "sector": "retail and logistics", "usecase": "ret-warehouse-packing-optimisation", "model_or_product": "Five in-house AI solutions in 16 warehouses, including packaging recommendation and stock prediction", "model_id": null, "vendor": "Blibli (in-house)", "vendor_country": "Indonesia", "status": "production", "date": "2023-11-20", "evidence_type": "company statement", "outcome_claims": "Packaging recommendations adopted by 86 percent of packers; packaging cost down 11 percent in four months (company figures)", "sources": [ "https://gizmologi.id/news/business/blibli-adopsi-teknologi-ai-pada-sistem-gudang/" ], "unverified": [ "province", "model" ] }, { "id": "jnt-express-route-ai", "organisation": "J&T Express Indonesia", "organisation_id": "jnt-express-indonesia", "country": "Indonesia", "sector": "logistics", "usecase": "ret-route-optimisation", "model_or_product": "AI and data analytics for route optimisation and real-time operations monitoring (not named)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2026-08-26", "evidence_type": "company statement", "outcome_claims": "Automatic sorting in 19 sorting centres is also described, but AI is not stated for sorting", "sources": [ "https://selular.id/2026/08/jt-express-perkuat-teknologi-dan-layanan-di-usia-11-tahun/" ], "unverified": [ "province", "model", "vendor" ] }, { "id": "gojek-fraud-detection", "organisation": "Gojek", "organisation_id": "goto", "country": "Indonesia", "sector": "retail and logistics", "usecase": "ret-marketplace-trust-safety", "model_or_product": "AI fake-order blocking and fake GPS app detection", "model_id": null, "vendor": "Gojek (in-house)", "vendor_country": "Indonesia", "status": "production", "date": "2019-02-15", "evidence_type": "company statement", "outcome_claims": "Claimed up to 98 percent accuracy", "sources": [ "https://selular.id/2019/02/sistem-deteksi-fraud-gojek-98-akurat/" ], "unverified": [ "province", "model", "group" ] }, { "id": "pelindo-innovez-marinem", "organisation": "Pelindo (Ports of Balikpapan and Belawan)", "organisation_id": "pelindo", "country": "Indonesia", "sector": "logistics", "usecase": "ret-port-marine-berth-allocation", "model_or_product": "Innovez One marineM marine operating system with AI-based allocation for pilotage, towage and berths", "model_id": null, "vendor": "Innovez One", "vendor_country": null, "status": "contract signed", "date": "2021-10-26", "evidence_type": "company statement", "outcome_claims": "Selected; AIS and GPS logging planned", "sources": [ "https://www.ship-technology.com/news/indonesian-ports-innovez-one/", "https://en.wikipedia.org/wiki/List_of_regencies_and_cities_of_Indonesia" ], "unverified": [ "Belawan", "vendor_country", "model" ], "province": "multi-province", "city": "Balikpapan; Belawan (Medan)", "provinces": [ "Kalimantan Timur", "Sumatera Utara" ] }, { "id": "social-bread-ai-live-host", "organisation": "Social Bread; Imagine8 Studio", "organisation_id": "social-bread", "country": "Indonesia", "sector": "retail and logistics", "usecase": "ret-ai-live-commerce-hosts", "model_or_product": "AI livestream host trialled by Social Bread; Lentari Pagi virtual influencer by Imagine8 Studio", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "pilot", "date": "2025-10-02", "evidence_type": "independent report", "outcome_claims": "Trial and experimental use; no results", "sources": [ "https://restofworld.org/2025/indonesia-tiktok-shop-livestream-sellers-ai-rivals/" ], "unverified": [ "province", "model", "vendor" ] }, { "id": "seven-eleven-vietnam-it-chatbot", "organisation": "7-Eleven Vietnam", "organisation_id": "7-eleven-vietnam", "country": "Vietnam", "sector": "retail and logistics", "usecase": "ret-operations-agents", "model_or_product": "Internal IT support chatbot on Vertex AI Agent Builder and Gemini", "model_id": null, "vendor": "Google Cloud", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "IT fix time down 50 percent (claim)", "sources": [ "https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders" ], "unverified": [] }, { "id": "shop-global-line-shopper", "organisation": "Shop Global (Saha Group)", "organisation_id": "shop-global", "country": "Thailand", "sector": "retail and logistics", "usecase": "ret-conversational-shopping-assistant", "model_or_product": "Personal shopper in LINE on Vertex AI Search, Vertex AI Conversation, Gemini and BigQuery", "model_id": null, "vendor": "Google Cloud", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "No figures stated", "sources": [ "https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders" ], "unverified": [] }, { "id": "fairprice-agentspace", "organisation": "FairPrice Group", "organisation_id": "fairprice-group", "country": "Singapore", "sector": "retail and logistics", "usecase": "ret-operations-agents", "model_or_product": "Google Agentspace organisation-wide platform; Grocer Genie app for frontline staff", "model_id": null, "vendor": "Google Cloud", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "No figures stated", "sources": [ "https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders" ], "unverified": [] }, { "id": "bukalapak-advance-ai-ekyc", "organisation": "Bukalapak", "organisation_id": "bukalapak", "country": "Indonesia", "sector": "retail and logistics", "usecase": "ret-customer-identity-verification", "model_or_product": "ADVANCE.AI eKYC: KTP OCR, face comparison and anti-spoofing across the marketplace, BukaTabungan, BukaSend, BMoney and Mitra Bukalapak", "model_id": null, "vendor": "ADVANCE.AI", "vendor_country": null, "status": "production", "date": "2021-06", "evidence_type": "company statement", "outcome_claims": "75 percent automated verification (vendor case study, 1 November 2022)", "sources": [ "https://blog.advance.ai/blog/bukalapak-advanceai-buying-and-selling-online-is-easier-with-better-onboarding" ], "unverified": [ "province", "vendor_country", "model" ] }, { "id": "pos-indonesia-robotic-sorting", "organisation": "Pos Indonesia", "organisation_id": "pos-indonesia", "country": "Indonesia", "sector": "logistics", "usecase": "ret-warehouse-mobile-robots", "model_or_product": "Robotic Sorting System with AMRs: AI reads parcel data, sets sorting routes and optimises robot movement", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2026-03-16", "evidence_type": "company statement", "outcome_claims": "40 units a site and 3,000 items an hour at SPP Jakarta Timur, Surabaya and Yogyakarta", "sources": [ "https://www.cnbcindonesia.com/tech/20260316135701-38-719428/robot-pekerja-sudah-muncul-di-indonesia-begini-potretnya" ], "unverified": [ "model", "vendor", "group" ], "province": "DKI Jakarta", "city": "Jakarta (Sentral Pengolahan Pos)" }, { "id": "telkomsel-siscamling", "organisation": "Telkomsel", "organisation_id": "telkomsel", "country": "Indonesia", "sector": "telecom", "usecase": "tel-scam-spam-protection", "model_or_product": "SISCAMLING, network-level AI trained on anonymised telecom data (model not named)", "model_id": null, "vendor": "Telkomsel (in-house)", "vendor_country": "Indonesia", "status": "production", "date": "2025-12-17", "evidence_type": "company statement", "outcome_claims": "Rolled out gradually from 15 December 2025 to all customers in early 2026", "sources": [ "https://www.telkomsel.com/en/vas/siscamling", "https://selular.id/2025/12/telkomsel-luncurkan-siscamling-sistem-ai-cegah-14-miliar-percobaan-scam/" ], "unverified": [ "province", "model" ] }, { "id": "indosat-anti-scam-tanla", "organisation": "Indosat Ooredoo Hutchison", "organisation_id": "indosat", "country": "Indonesia", "sector": "telecom", "usecase": "tel-scam-spam-protection", "model_or_product": "Anti-Spam and Anti-Scam on Tanla Wisely AI (IM3 SATSPAM, Tri AI)", "model_id": null, "vendor": "Tanla (Wisely AI)", "vendor_country": null, "status": "production", "date": "2026-02-06", "evidence_type": "company statement", "outcome_claims": "Over 2 billion detections and 2.5 million app activations in six months (company claims); launched about August 2025", "sources": [ "https://selular.id/2026/02/indosat-klaim-blokir-2-miliar-spam-dan-scam-dalam-enam-bulan/", "https://oecd.ai/en/incidents/2026-02-06-59e8" ], "unverified": [ "province", "vendor_country", "model" ] }, { "id": "telkomsel-isyana", "organisation": "Telkomsel", "organisation_id": "telkomsel", "country": "Indonesia", "sector": "telecom", "usecase": "tel-subscriber-personalisation-churn", "model_or_product": "ISYANA in-house AI and analytics platform (collaborative filtering, matrix factorisation, custom churn models)", "model_id": null, "vendor": "Telkomsel (in-house)", "vendor_country": "Indonesia", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "20 to 30 TB of data a day; 20.75 percent more programme take-up (company claims)", "sources": [ "https://info.tmforum.org/AI-powered-service-hub-boosts-monetization-and-customer-engagement.html" ], "unverified": [ "province", "model" ] }, { "id": "telkomsel-zte-hyper-ai", "organisation": "Telkomsel with ZTE", "organisation_id": "telkomsel", "country": "Indonesia", "sector": "telecom", "usecase": "tel-network-operations", "model_or_product": "ZTE Self-Adaptive Feedback AI/ML for 4G (Hyper AI) on more than 90 sites in Makassar and Kendari", "model_id": null, "vendor": "ZTE", "vendor_country": "China", "status": "production", "date": "2024-11-24", "evidence_type": "company statement", "outcome_claims": "300,000 customers covered; energy use down 8 percent (vendor-reported)", "sources": [ "https://www.rcrwireless.com/20241124/featured/telkomsel-4g-ai-zte", "https://en.wikipedia.org/wiki/List_of_regencies_and_cities_of_Indonesia" ], "unverified": [ "model" ], "province": "multi-province", "city": "Makassar; Kendari", "provinces": [ "Sulawesi Selatan", "Sulawesi Tenggara" ] }, { "id": "xlsmart-zte-ai", "organisation": "XLSmart with ZTE", "organisation_id": "xlsmart", "country": "Indonesia", "sector": "telecom", "usecase": "tel-network-operations", "model_or_product": "AI across RAN, transport, core and network operations (no product named)", "model_id": null, "vendor": "ZTE", "vendor_country": null, "status": "planned", "date": "2026-07-27", "evidence_type": "company statement", "outcome_claims": "MoU; earlier work cut energy use by over 10 percent (claim)", "sources": [ "https://selular.id/2026/07/zte-dan-xlsmart-perkuat-kolaborasi-ai-5g-dan-fwa/" ], "unverified": [ "province", "vendor_country", "model", "status" ] }, { "id": "indosat-huawei-ai-new-calling", "organisation": "Indosat Ooredoo Hutchison with Huawei", "organisation_id": "indosat", "country": "Indonesia", "sector": "telecom", "usecase": "tel-ai-enhanced-voice-calls", "model_or_product": "AI New Calling on VoLTE and 5G: real-time Indonesian-English call translation, AI noise reduction, interactive visual calls, IDOLCALL avatars", "model_id": null, "vendor": "Huawei", "vendor_country": "China", "status": "production", "date": "2026-08-26", "evidence_type": "company statement", "outcome_claims": "Launched; commercial availability not stated", "sources": [ "https://selular.id/2026/08/indosat-adopsi-layanan-ai-new-calling-ubah-total-pengalaman-menelepon-masyarakat/" ], "unverified": [ "date", "model_or_product", "province", "model" ] }, { "id": "indosat-nvidia-sahabat-nemotron", "organisation": "Indosat Ooredoo Hutchison with NVIDIA", "organisation_id": "indosat", "country": "Indonesia", "sector": "telecom", "usecase": "tel-sovereign-ai-platforms", "model_or_product": "Next-generation Sahabat-AI built on NVIDIA Nemotron open models; distributed AI Grid; Lintasarta AI cloud", "model_id": "nvidia-nemotron", "vendor": "NVIDIA", "vendor_country": "USA", "status": "planned", "date": "2026-03-21", "evidence_type": "company statement", "outcome_claims": "AI Grid in build; model in preparation", "sources": [ "https://www.telecomtv.com/content/ai/working-with-nvidias-nemotron-indosat-is-bringing-ai-closer-to-communities-across-the-archipelago-55226/amp/" ], "unverified": [ "province", "model_id" ], "model_named": "NVIDIA Nemotron open models (versions not named); next-generation Sahabat-AI" }, { "id": "telkom-aicosystem", "organisation": "Telkom Indonesia (TelkomGroup)", "organisation_id": "telkom-indonesia", "country": "Indonesia", "sector": "telecom", "usecase": "tel-sovereign-ai-platforms", "model_or_product": "AIcosystem: AI CoE, Telkomsel AI, NeutraDC Neutra Compute and a Bahasa Indonesia LLM (unnamed); solutions including pricing analytics, traffic management, legal document review and Pijar essay grading", "model_id": null, "vendor": "Telkom Indonesia (in-house)", "vendor_country": "Indonesia", "status": "production", "date": "2026-06-04", "evidence_type": "company statement", "outcome_claims": "Launched; no results stated", "sources": [ "https://katadata.co.id/digital/teknologi/6a2240bb9f345/telkom-rilis-aicosystem-siap-garap-peluang-ai-lintas-industri" ], "unverified": [ "province", "model" ] }, { "id": "telkomsel-moana", "organisation": "Telkomsel", "organisation_id": "telkomsel", "country": "Indonesia", "sector": "telecom", "usecase": "tel-employee-genai-assistants", "model_or_product": "MOANA HR generative AI agent for more than 6,000 employees and the myEnterprise B2B search assistant on Google Cloud Vertex AI foundation models", "model_id": null, "vendor": "Google Cloud", "vendor_country": "USA", "status": "production", "date": "2024-02-29", "evidence_type": "company statement", "outcome_claims": "No figures stated", "sources": [ "https://www.frontier-enterprise.com/telkomsel-maxis-dial-up-google-cloud-for-generative-ai-push/" ], "unverified": [ "province", "model_id" ], "model_named": "Google Cloud Vertex AI foundation models (not named)" }, { "id": "telkomsel-openai-chatgpt-enterprise", "organisation": "Telkomsel with OpenAI", "organisation_id": "telkomsel", "country": "Indonesia", "sector": "telecom", "usecase": "tel-employee-genai-assistants", "model_or_product": "ChatGPT Enterprise for employees; joint AI solutions for corporate customers", "model_id": null, "vendor": "OpenAI", "vendor_country": "USA", "status": "planned", "date": "2025-08-21", "evidence_type": "company statement", "outcome_claims": "MoU; rollout planned", "sources": [ "https://investortrust.id/market/76432/telkomsel-signs-mou-with-openai-expands-ai-solutions-for-corporate-sector" ], "unverified": [ "province", "model_id", "status" ], "model_named": "ChatGPT Enterprise" }, { "id": "telkom-meta-llama-whatsapp", "organisation": "Telkom Group (Telkomsel, TELIN) with Meta", "organisation_id": "telkom-indonesia", "country": "Indonesia", "sector": "telecom", "usecase": "tel-customer-virtual-assistant", "model_or_product": "Meta Llama in WhatsApp chatbots including Veronika; TELIN NeuAPIX WhatsApp Business platform", "model_id": null, "vendor": "Meta", "vendor_country": "USA", "status": "planned", "date": "2025-03-27", "evidence_type": "company statement", "outcome_claims": "Planned; no results", "sources": [ "https://www.marketing-interactive.com/telkom-group-integrates-meta-s-llama-ai-to-elevate-customer-engagement" ], "unverified": [ "province", "model_id" ], "model_named": "Meta Llama (version not named)" }, { "id": "indosat-google-cloud-ai", "organisation": "Indosat Ooredoo Hutchison with Google Cloud", "organisation_id": "indosat", "country": "Indonesia", "sector": "telecom", "usecase": "tel-customer-virtual-assistant", "model_or_product": "Contact Center AI, generative AI agents, creative AI hyperpersonalisation, geospatial machine learning, generative AI coding agents and enterprise search", "model_id": null, "vendor": "Google Cloud", "vendor_country": "USA", "status": "planned", "date": "2024-06-14", "evidence_type": "company statement", "outcome_claims": "All workstreams stated in the future tense", "sources": [ "https://www.googlecloudpresscorner.com/2024-06-14-Indosat-Ooredoo-Hutchison-and-Google-Cloud-Deepen-Strategic-Alliance-to-Deliver-AI-driven-Digital-Experiences-Across-Indonesia" ], "unverified": [ "province", "model" ] }, { "id": "indosat-gemini-bundle", "organisation": "Indosat Ooredoo Hutchison (IM3, Tri)", "organisation_id": "indosat", "country": "Indonesia", "sector": "telecom", "usecase": "tel-consumer-ai-assistant-bundling", "model_or_product": "Google Gemini AI Plus bundled with IM3 and Tri data packages", "model_id": "google-deepmind-gemini", "vendor": "Google", "vendor_country": "USA", "status": "production", "date": "2026-04-08", "evidence_type": "company statement", "outcome_claims": "Limited from February 2026, expanding", "sources": [ "https://koran-jakarta.com/2026-04-09/perkuat-ai-powered-telco-indosat-hadirkan-akses-google-gemini-ai-bagi-pelanggan-im3-dan-tri/amp" ], "unverified": [ "province" ], "model_named": "Google Gemini AI Plus" }, { "id": "xlsmart-gemini-bundle", "organisation": "XLSmart (XL, AXIS, Smartfren)", "organisation_id": "xlsmart", "country": "Indonesia", "sector": "telecom", "usecase": "tel-consumer-ai-assistant-bundling", "model_or_product": "Paket Plus Google Gemini: six months of Gemini with data packages", "model_id": "google-deepmind-gemini", "vendor": "Google", "vendor_country": "USA", "status": "production", "date": "2026-07-21", "evidence_type": "company statement", "outcome_claims": "XLSmart targets 20 to 30 percent Gemini adoption", "sources": [ "https://gizmologi.id/news/telco/xlsmart-perluas-akses-ai-ke-google-gemini/" ], "unverified": [ "province" ], "model_named": "Google Gemini (Paket Plus Google Gemini)" }, { "id": "xlsmart-esta-agent", "organisation": "XLSmart (XLSMART for BUSINESS)", "organisation_id": "xlsmart", "country": "Indonesia", "sector": "telecom", "usecase": "tel-customer-virtual-assistant", "model_or_product": "ESTA generative AI virtual assistant agent sold to enterprises and government (model not named)", "model_id": null, "vendor": "XLSmart", "vendor_country": "Indonesia", "status": "production", "date": "2026-06-12", "evidence_type": "company statement", "outcome_claims": "Offered to enterprise and government customers; no named client", "sources": [ "https://www.idxchannel.com/technology/perkuat-segmen-enterprise-xlsmart-lengkapi-portofolio-solusi-digital-terintegrasi/3" ], "unverified": [ "province", "model" ] }, { "id": "maxis-gemini-vertex", "organisation": "Maxis", "organisation_id": "maxis", "country": "Malaysia", "sector": "telecom", "usecase": "tel-employee-genai-assistants", "model_or_product": "Gemini models on Vertex AI and Duet AI for Developers", "model_id": null, "vendor": "Google Cloud", "vendor_country": "USA", "status": "planned", "date": "2024-02-29", "evidence_type": "company statement", "outcome_claims": "Announced", "sources": [ "https://www.frontier-enterprise.com/telkomsel-maxis-dial-up-google-cloud-for-generative-ai-push/" ], "unverified": [] }, { "id": "globe-ask-globe", "organisation": "Globe Telecom", "organisation_id": "globe-telecom", "country": "Philippines", "sector": "telecom", "usecase": "tel-employee-genai-assistants", "model_or_product": "Ask Globe chatbot in Google Chat; Gemini in Meet for transcription and summaries", "model_id": null, "vendor": "Google Cloud", "vendor_country": "USA", "status": "production", "date": null, "evidence_type": "company statement", "outcome_claims": "No figures stated", "sources": [ "https://cloud.google.com/transform/101-real-world-generative-ai-use-cases-from-industry-leaders" ], "unverified": [] }, { "id": "smartfren-sarah", "organisation": "Smartfren (XLSMART)", "organisation_id": "xlsmart", "country": "Indonesia", "sector": "telecom", "usecase": "tel-customer-virtual-assistant", "model_or_product": "Sarah, generative AI virtual assistant on WhatsApp, MySmartfren and the website (model not named)", "model_id": null, "vendor": "not stated", "vendor_country": null, "status": "production", "date": "2025-07-08", "evidence_type": "company statement", "outcome_claims": "120,000 transactions since soft launch; 55 percent resolved or satisfied (company claim)", "sources": [ "https://gizmologi.id/news/telco/smartfren-kenalkan-sarah-asisten-virtual-ai/" ], "unverified": [ "province", "model", "vendor" ] }, { "id": "smartfren-google-cloud-ai", "organisation": "Smartfren with Google Cloud", "organisation_id": "xlsmart", "country": "Indonesia", "sector": "telecom", "usecase": "tel-customer-virtual-assistant", "model_or_product": "Customer Engagement Suite with Google AI chatbot and voicebot; BigQuery traffic analytics for automatic capacity", "model_id": null, "vendor": "Google Cloud", "vendor_country": "USA", "status": "planned", "date": "2024-11-15", "evidence_type": "company statement", "outcome_claims": "Announced", "sources": [ "https://selular.id/2024/11/smartfren-gandeng-google-cloud-guna-mengimplementasikan-ai-untuk-pelanggan/" ], "unverified": [ "province", "model" ] } ]