Topic: Digital government & service delivery clear · back to the knowledge map
-2 practices not yet assessed for evidence strength.
Most practices in: United Kingdom (10) · United States of America (9) · Singapore (7)
Since 2020, Estonia's Riigikogu has used HANS, an AI speech-recognition tool built with Tallinn University of Technology, to auto-transcribe plenary debates — …
Croatia's Ministry of Justice deployed ANON, an AI pseudonymisation tool integrated with the national eSpis system, to automatically redact personal data from …
B’Odogwu (Nigeria’s Unified Customs Management System) applies AI risk-profiling and ML pattern detection across 34 commands. Between Oct 2024 and May 2025 …
Hungary requires all businesses to report invoices to NAV in real-time XML since 2021; ML risk-scoring targets suspicious companies before returns are …
NECTEC's AI chatbot (LINE) classifies and routes citizen complaints nationally. June 2022–July 2024: 947,769 complaints handled, 77% resolution rate, resolution time cut …
Costa Rica’s tax directorate uses the open-source CIAT e-IAD ML model to detect anomalies in e-invoices. By 2026 it exposed a ~₡80 …
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 …
A US$23.9M World Bank programme building submarine fibre to Príncipe, school connectivity, a data-interoperability platform, a national cyber-emergency team and a digital …
Grenada's US$8m share of a US$94m World Bank regional programme funds digital-skills training and an e-services portal, plus — after Grenada joined …
Kazakhstan's 2018–2022 Digital Kazakhstan programme paired national e-government (eGov.kz, Public Service Centres) with mass digital-literacy training, lifting its UN E-Government Development Index …
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 …
Open full copilot Grounded in cited practices — always check the sources.
