The US Treasury's Office of Payment Integrity uses ML to screen federal disbursements. In FY2024, ML-driven processes prevented or recovered $4.059 billion …
Taiwan's MoE integrates AI into its free national Adaptive Learning Platform (TALP) for K-12. A quasi-experiment (n=4,442 sixth-graders) showed significant maths gains; …
National adaptive mathematics platform (PAM) for all Uruguayan primary (grades 3-6) and lower secondary students since 2013. An independent CINVE quasi-experimental study …
Montevideo, Uruguay
Good practice
Evidence: Descriptive / self-reported
Top 3%80/100
Singapore's national online platform serves ~500,000 students and teachers with AI features including an adaptive maths/geography engine, AI lesson-planning copilot, short-answer auto-marking, …
Singapore, Singapore
Good practice
Evidence: Descriptive / self-reported
Top 3%80/100
Ukraine's Diia platform serves 23 million citizens (81 % of adults) with 160+ digital government services, saving an estimated US$12 billion annually. …
Kyiv, Ukraine
Good practice
Evidence: Descriptive / self-reported
Top 3%80/100
Since 2019, Japan distributes ¥40–62 billion/year to municipalities and prefectures for managing private plantation forests; from April 2024 funded by a ¥1,000/capita …
Tokyo, Japan
Good practice
Evidence: Observational / pre–post
Top 14%80/100
Italy's Agenzia delle Entrate deploys VeRa, an AI algorithm cross-referencing declarations with bank data, property records and electronic payments. In 2022 it …
Rome, Italy
Good practice
Evidence: Descriptive / self-reported
Top 14%80/100
Kela automates the pre-processing of documents submitted with benefit applications — classifying, converting and routing attachments — saving an estimated 38 full-time …
Helsinki, Finland
Good practice
Evidence: Observational / pre–post
Top 14%80/100
Since 1997, Switzerland's state pension automatically splits spouses' earnings 50/50 and credits fictitious income for child-rearing years, targeting the gender pension gap …
Bern, Switzerland
Good practice
Evidence: Observational / pre–post
Top 36%78/100