The OECD.AI Policy Navigator

This is a compilation of AI policies initiatives, programs and projects that are current active all successfully completed.

SOFIA (Automated Information Guidance and Facilitation Service) is a virtual assistant developed by Peru's tax and customs authority, SUNAT. It provides guidance on tax and customs matters through graphic content, direct links, personalised consultations, and video tutorials. Available 24 hours a day, seven days a week via the SUNAT portal, SOFIA supports taxpayers, both individuals and legal persons, with topics including tax obligation compliance, electronic audits, customs import procedures.

Peru's Adetop algorithm is an AI-powered tool developed for forest supervision, used by Osinfor (the Peruvian forest oversight body) to detect illegal logging across Peruvian territory. Using multispectral satellite imagery from the European Space Agency's Sentinel-2 and NASA's Landsat constellation, the algorithm identifies concentrated tree extraction. Between 2024 and June 2025, the system detected 42 cases of illegal logging, totalling 23,351 cubic metres of unauthorised timber extraction.

PBIA seeks to: • improve the lives of Brazilians through innovations in AI that improve national productive capacity and social well-being; • position Brazil at the technological frontier with computational infrastructure to drive cutting-edge research, technological development, and innovations in AI; • develop LLMs in Portuguese, based on national data; and • strengthen Brazil’s global leadership and technological development in AI with sovereignty and international sharing of capabilities.

It is the world’s first national AI-agent that goes beyond answering questions — it actually provides government services directly within a chat. The AI-agent doesn’t simply act as a chatbot that responds to queries — it takes action based on the user’s request. For example, you write to the assistant in the chat: «I need an income certificate», and receive it directly in your personal account on the Diia portal, with an email notification once it’s ready. This initiative helps citizens quickly

Ukraine has launched Diia.AI on the Diia portal — the world’s first national AI agent that not only answers questions but also delivers government services directly in chat. For example, a user may request an income certificate and receive it instantly in their account with email notification. The initiative simplifies access, removes the need for forms or visits, ensures 24/7 availability, and aims to place Ukraine among leaders in public-sector AI.

gIAp is a digital platform under development that aims to help public sector organisations optimise the delivery of in-person services using advanced data analysis. It is intended to match service supply with demand, evaluate efficiency, and offer suggestions for improvement based on data. The platform plans to integrate multiple sources of input, including citizen feedback, and expand its coverage over time.

At Universitair Medisch Centrum Groningen (UMCG) and the Elisabeth-TweeSteden Hospital (ETZ), work is underway to integrate generative AI into the electronic health record, dragging answers to patient’s questions. The aim is to save healthcare provider time.

This strategy aims to transform Wallonia into a digital platform by innovating public services, fostering collaboration through open data, and serving as a testing ground for scalable digital solutions. It integrates AI to improve mobility-related services, such as traffic management and urban planning.

AGENAS is developing a platform that uses AI tools to assist health professionals in the diagnosis and treatment of primary care.

The Algorithm & AI Register in the Netherlands promotes transparency in public sector AI use. It ensures that algorithms are applied responsibly across government institutions. The register was developed with stakeholder feedback to meet societal expectations.

Sweden is part of the EUCAIM-project which focuses on leveraging AI-based technologies for cancer diagnosis and treatment to improve patient outcomes and transform cancer care across the European Union.

The Ministry of Digital Transformation is planning to introduce AI-based predictive analytics into the Business intelligence system Skrinja (‘box’), which is used by different public authorities to analyse data about their policy area, like public sector salaries, public tenders and administrative procedures, supporting data-driven decisions in real time in public administration.

AI-driven project to digitise handwritten complaint reports in the public administration’s Yellow Book, aiming to reduce processing time, enhance evaluation standards, and extend electronic support for complaints. The Yellow Book (Livro Amarelo) is a public administration tool that allows citizens to submit complaints, suggestions, and compliments regarding public services. It serves as a formal channel for feedback, helping to improve the quality and accountability of public administration.

The MEGALITH project uses AI models to study and protect Malta’s megalithic temples. The models predict stone degradation under different weather and climate scenarios. This helps preserve these historic sites for future generations.

The Swiss–Latvian Cooperation Programme supports research and innovation in smart grids and energy storage. AI-enabled tools will be developed for real-time stability assessment of the Baltic electricity grid, alongside improved materials for energy storage and hydrogen production. The initiative involves national research institutions, led by the Institute of Solid-State Physics at the University of Latvia.

The I-NERGY tool is an AI-driven platform that supports smart and optimized energy management. It unifies energy-related data and facilitates efficient data exchange. The tool helps improve energy efficiency and enhances predictive capabilities in energy management.

The Big Data-Driven Overhead Power Grid Pre-Storm Damage Prediction System in Latvia uses AI and machine learning to forecast potential storm damage to power grids. It provides real-time predictions for medium- and low-voltage networks. The system helps grid operators act proactively to prevent power outages.

The LIFE project focuses on creating climate-resilient, water-efficient, and self-sustainable agri-food systems. As climate change threatens food security, the project emphasises sustainable techniques like hydroponics and locally sourced fertilisers. It transforms animal manure into nutrient solutions for hydroponic farming, with Digital Twin technology optimising this process to increase efficiency and reduce resource consumption.

This initiative is a research and development project, aiming to create an innovative, secure, and privacy-preserving smart home system to support the health and well-being of elderly individuals living independently. By integrating technology, public health, and social sciences, the project addresses challenges such as social isolation and the need for assistance and safety. It adopts an interdisciplinary approach, involving social sciences, software development, smart environments & security.