Malaysia National Fraud Portal — AI-powered real-time anti-scam network for financial intelligence
Bank Negara Malaysia (BNM) and PayNet's National Fraud Portal (April 2024) links 53 institutions via FNA graph analytics to trace stolen funds …
Catalogue: AI in the Public Sector clear
Bank Negara Malaysia (BNM) and PayNet's National Fraud Portal (April 2024) links 53 institutions via FNA graph analytics to trace stolen funds …
Since 2011, Ireland's Revenue Commissioners have used AI risk scoring (REAP) to target tax-compliance interventions; 290,000 data-analytics-driven interventions in 2023 yielded €787m, …
AI-assisted civic deliberation platform run by Taiwan's PDIS, using open-source Polis AI to map consensus on ~30 policy issues since 2014. Over …
The UK's ATRS is a public register documenting how government algorithmic tools work and affect people. World-first when launched in 2021, it …
Pair is GovTech Singapore's LLM assistant for civil servants — drafting, research and analysis — with 60,000+ registered users across 100+ agencies, …
Estonia's open-source virtual-assistant ecosystem giving citizens a single conversational channel to public services, integrated across 18+ organisations, with human hand-off when it …
NTNU piloted Microsoft 365 Copilot in spring 2024 inside Datatilsynet's sandbox; its exit report gave eight findings and concluded NTNU was not …
MHRA's AI Airlock pilot (to March 2025) took 5 of 40 applicants, 4 completing; its published report fed guidance, and DHSC committed …
Australia Post's machine-learning route planner turned scanner data into two-hour delivery windows. By FY2020-21 it covered 1,500+ drivers, sent 2.5 million ETA …
The EU's Arachne+ tool mines beneficiary, contract and ownership data — including Moody's Orbis and World Compliance records — to flag fraud …
Tanzania's procurement regulator PPRA built and runs NeST, an e-procurement platform with AI-enabled red-flag analytics linking 21 government systems. Processing time fell …
India's ICMR-run network of tertiary hospitals turned six years of resistance data into machine-learning early-warning signals, flagging cefotaxime resistance as a leading …
Since 2017, CABI's PRISE service has combined satellite data, weather forecasts and pest life-cycle models to deliver pest-outbreak alerts to smallholder farmers …
Hong Kong's four financial regulators (HKMA, SFC, IA, MPFA) expanded 2024's bank-only GenA.I. Sandbox into GenA.I. Sandbox++, whose first cohort (Aug 2026) …
World Bank/GFDRR fused CNNs with post-disaster drone and satellite imagery to classify roof type and material for 8,345 Dominica and Saint Lucia …
As one of 20 projects picked from nearly 600 applicants to Germany's federal Agentic AI Hub, the Borken district used an AI …
UNOSAT and Google Research's DISHA workflow uses AI to speed disaster damage assessment, cutting analysis time 6-fold across 9 emergencies. Deployed for …
Greece's Hellenic Cadastre became the first Greek public authority to use AI in administrative decision support, reading contracts and flagging missing legal …
Sweden's National Archives built an in-house AI handwriting-recognition model, trained via a three-year citizen-science transcription effort, to make over a million pages …
Since 2006, Korea's Fair Trade Commission has used an automated indicator-scoring system to flag collusive bidding patterns in public tenders. It now …
A generative-AI chatbot built by Nava and nonprofit Imagine LA for Los Angeles County benefits caseworkers lifted response accuracy by 40% in …
ECMWF made its AIFS machine-learning weather model operational in February 2025, with a probabilistic version following in July — cutting compute needs …
Australia's Digital Transformation Agency piloted a draft AI impact-assessment framework with 21 volunteer federal agencies, testing whether it caught risks existing processes …
Since April 2019, Canada's Directive on Automated Decision-Making has required every federal automated decision system to complete a public Algorithmic Impact Assessment …
Open full copilot Grounded in cited practices — always check the sources.