Topic: Digital government & service delivery clear · back to the knowledge map
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 …
Open full copilot Grounded in cited practices — always check the sources.
