The OECD.AI Policy Navigator

This AI-driven initiative automates the identification of legal overlaps and contradictions within the National Registry of Legislation. It helps government officials and legal experts ensure that new regulations do not conflict with existing laws. By streamlining legislative drafting, the tool benefits legal workers by providing a simplified legal environment.

This initiative uses artificial intelligence to automatically summarise appeals submitted by citizens to the Social Security administration. It helps caseworkers quickly understand the main issues raised and classify each appeal for the appropriate handling. The system was developed to speed up processing times and manage growing workloads while ensuring citizens’ appeals are handled more efficiently.

A satellite-based AI system was developed for the public water management authority JP “Vode Vojvodine” to detect waterlogging and map risk areas across Vojvodina, helping them make faster and more informed decisions. The platform combines satellite images, weather data and soil information to identify where excess water may cause damage. It was created to reduce agricultural losses and support better planning, prevention and response to extreme weather conditions.

This initiative aims at the development and deployment of sovereign, state-operated AI assistants across public administration websites and portals to support citizens with information and public services. It addresses service accessibility and contact centre capacity by providing faster and more reliable digital assistance.

The initiative is a flexible module for automatic text correction, designed to improve efficiency, quality, and reliability in writing and communication. While targeted at “JP Službeni Glasnik”, it potentially benefits institutions, professionals, and anyone working with Serbian-language content. Developed to address the need for accurate OCR and text analysis, it opens opportunities for integration with existing tools and broader language applications.

VodostAI is a software platform that uses AI and data from IoT sensors to help predict floods and support early warnings. It helps water authorities, municipalities, and emergency services prepare and respond sooner, reducing damage and risk to people. It was developed to improve forecasting and decision-making where data are limited or arrive too late for effective action.

The initiative leverages artificial intelligence and big data analytics to strengthen risk based approaches to personal income tax compliance. By identifying atypical taxpayer behaviour, it supports more targeted audits and efficient allocation of enforcement resources. The project contributes to the broader modernisation of the Serbian Tax Administration and promotes evidence based policymaking in tax administration.

The initiative uses artificial intelligence to predict daily water inflows into reservoirs in the Drina River basin. It helps water managers and energy operators plan more effectively. It was developed to improve forecasting accuracy and support better decision making in water and energy management.

Anatel has developed AvalIA, a tool that uses artificial intelligence models to automatically assess the quality of telecommunications companies' responses to consumer complaints. This initiative seeks to make customer service more efficient and transparent, benefiting both consumers and the regulatory agency itself. AvalIA was created to expand and improve the analysis of companies' responses, ensuring that consumers receive more appropriate information and more effective solutions.

The AI Agent for Travel is an artificial intelligence assistant that gives public service employees quick, clear answers about travel rules and expense claims. It was created by government staff to reduce the large number of emails, delays, and confusion caused by complex travel policies. The assistant provides answers in seconds, saves staff time, and lowers administrative costs.

The initiative quantifies the environmental regulatory burden in Chile by analysing environmental permits to identify the specific obligations generated. By providing objective evidence, it supports authorities and investors in creating a more transparent and efficient regulatory framework. The tool was developed to overcome the challenges of manual data processing, transforming thousands of pages of complex requirements into clear, comparable data for a more effective regulatory evaluation.

Formez PA's AI Pilot for CV Screening is an internal tool that helps Formez’ selection committees review CVs from candidates applying to become consultants for Formez PA's project activities. It uses natural language processing to identify skills and create a preliminary ranking based on job requirements, reducing manual workload for staff. Launched in May 2025, it addresses the sharp rise in internal applications via the inPA portal while keeping human judgement central to decisions.

Camilla is a generative AI virtual assistant that helps citizens access clear, up-to-date information on public recruitment competitions through the inPA Portal, Italy’s single gateway for public administration hiring. Developed by Formez PA with CSI Piemonte, it enhances access to notices, simplifies participation, and reduces the workload of staff managing assistance requests.

Municipal council meetings are the core of local democracy, yet citizens rarely engage with them. In Greece, meetings are legally public but practically inaccessible: hours of unstructured video, no searchable records, and no way to know when your neighbourhood is discussed. The 2024 OECD Survey on Drivers of Trust found that only 21% of Greeks believe they can influence government, among the lowest in Europe.

Austria has great potential in terms of industrial and commercial brownfield sites. The initiative is a nationwide public AI-based map that identifies these brownfields primarily based on geodata and aerial photographs. It was created to provide reliable information on unused industrial and commercial sites for planners, municipalities, developers and researchers. The goal is to support land recycling and reduce land consumption by making these opportunities visible.

DaFNE (Database for Research on Sustainable Development) is an online platform, used to manage and publish nationally funded research projects. Research results are stored there in the form of report files (PDF). To facilitate broad and easy access to these results for multiple stakeholder groups, a chatbot was developed to support an efficient information retrieval. This chatbot is a text-based dialogue system, based on a vector database and LLM, which only accesses publicly available projects.

PolluSense is an AI-driven pilot that uses satellite data to detect industrial pollution in Canadian freshwater ecosystems in near-real time. It supports compliance with the Canadian Environmental Protection Act and the Fisheries Act by automatically flagging water-quality changes for analyst review and routing confirmed events to regional officers. It enables cost-effective, continuous monitoring, improving response times, enforcement, and freshwater protection.

Posta Kopilot is an AI-powered mobile application that assists postal workers with manual mail sorting at the National Post of Serbia (Pošta Srbije), which processes over 2.1 million pieces daily. By interpreting address information and guiding sorting decisions in real time, it has increased sorting efficiency by over 20% and cut new-employee onboarding from several months to a few weeks. Developed through Serbia's Innovation Fund GovTech programme with LambdaWorks.

Tax control reviews a large number of tax forms for undisclosed rental incomes each year, taking up time and manpower. A prediction model has been developed which has the ability to predict the likelihood of an undisclosed rental income on a tax form before the tax form is submitted. This has resulted in substantial gains in tax collection, and both freed up time and manpower otherwise used in more difficult tax control cases.

Data governance in Ireland is overseen by the Data Governance Board under the Data Sharing and Governance Act 2019, enabling transparent data sharing across Public Sector Bodies. The OGCIO Data Governance Unit provides a Playbook to ensure secure, transparent sharing under the Act. This PoV shows how governed AI agents can support drafting DSAs at Stage 3 of the Playbook, with no autonomous decisions, full Human in the Loop oversight, and strong adherence to governance principles.