Topic: AI in public services clear · back to the knowledge map
Most practices in: United Kingdom (9) · United States of America (8) · Singapore (7)
Kazakhstan's Digital Family Card uses predictive scoring across 100+ socio-economic indicators from 20+ agencies to proactively identify and serve vulnerable families. Since …
STF's Victor AI classifies Extraordinary Appeals by 'general repercussion' theme in ~5 seconds vs 44 minutes manually, handling ~50,000 cases/year. Built with …
VDAB has deployed multiple AI systems since 2018: a multilingual deep-learning job-matching engine; Orient 2.0 (orientation test reduced from 45 to 10 …
Austria's Predictive Analytics Competence Centre (PACC) uses machine learning to screen millions of tax cases for fraud. In 2023 it analysed 6.5M …
New Zealand's Inland Revenue uses ML to screen 3+ million tax returns for compliance risk. In H1 2024 this drove a 50% …
Canada Revenue Agency uses ML and AI-powered analytics to detect unwarranted GST/HST refund claims. Since 2017–18, over C$1.1 billion in carousel-scheme fraud …
Algeria's Ministry of Higher Education used an AI matching platform nationwide for the first time in 2025, placing 97.34% of 340,901 baccalaureate …
Kenya's KIPPRA, its Revenue Authority (KRA) and IFPRI built an AI-chat computable general equilibrium model for tax simulation; a 2024 run projected …
Bank of Canada researchers used ML on payments-system data to nowcast GDP and trade during COVID-19, cutting forecast error 20–40% versus benchmarks …
Since 2004, Singapore's RAHS platform and its Centre for Strategic Futures have used agent-based modelling, Bayesian networks and data analytics to scan …
Over four months, GovTech Singapore's own research team measured GitHub Copilot's effect on 70 government software engineers using IDE telemetry plus SPACE-framework …
The UK Government Office for Science built five structured AI Scenarios 2030 — derived from six critical uncertainties through expert workshops and …
The Italian Senate uses Similis, an NLP tool built with CNR, to automatically cluster near-identical amendments filed en masse during filibusters. Presented …
Singapore's OneService chatbot lets residents report municipal issues like potholes or broken streetlights via WhatsApp/Telegram in plain language. An NLP model auto-classifies …
Bundesbank researchers built MILA, an LLM agent that classifies the tone of ECB Governing Council communications sentence-by-sentence from 2011–2024 against the prevailing …
Since 2018 Brazil's Chamber of Deputies has run Ulysses, an AI programme that automates legislative-data workflows; a 2025 relaunch made it a …
LLaMandement is DGFiP's fine-tuned Llama 2 model that classifies and summarises amendments to France's annual Finance Bill. Officials report it cuts amendment-processing …
Georgia's Ministry of Finance embedded 42 AI models in its e-Treasury system to detect payment anomalies across 7M+ annual transactions. IMF-documented testing …
PM Modi's monthly PRAGATI sessions combine geospatial dashboards and live ministry data to unblock stalled projects. As of 2026: 50 sessions, 382 …
PolicyEngine's open-source model simulates UK income tax, NI, Universal Credit and 50+ provisions. Since summer 2025 the No. 10 data team (10DS) …
AI chatbots on five Czech regional and municipal government websites handled 35,095 queries in seven months (Jan–Jul 2025), saving 8,774 staff hours, …
In March 2026 Bulgaria's NRA deployed BgGPT—a sovereign open-weight LLM—across central office and seven territorial directorates for 7,000+ staff; NRA has separately …
Tanzania's Ministry of Health deployed an AI triage layer in its DHIS2 disease-surveillance platform, clearing 85% of a 15,000-alert backlog and reducing …
Buenos Aires' Ministerio Público Fiscal deployed Prometea in 2017 to predict judicial outcomes and automate ruling drafts. 1,000 labour-rights rulings: 5 days …
Open full copilot Grounded in cited practices — always check the sources.
