The project runs hands-on AI workshops for different professions, as well as public discussions across Estonia. It also shares practical approaches and real-world examples of how organisations are adopting AI.

These activities are designed to help people build practical AI knowledge and skills, and to support the thoughtful and responsible use of AI in their day-to-day work, with an understanding of its opportunities, risks and limitations.

The goal is for at least 100,000 working-age people across Estonia to take part in an AI workshop or another learning or discussion activity.

The project is led by the Eesti.ai team at the Government Office.

 The grant helps companies quickly test and deploy AI solutions with minimal bureaucracy. Its aim is to accelerate AI adoption in Estonian companies.

The project is led by the Ministry of Economic Affairs and Communications and the Estonian Business and Innovation Agency (EIS).

The AI development grant focuses on industry and its value chain, robotics and other forms of physical AI, and healthcare. It supports companies in testing and deploying AI solutions, with the aim of increasing productivity and value added and strengthening export capacity.

The project is led by the Ministry of Economic Affairs and Communications and the Estonian Business and Innovation Agency (EIS).

The project develops AI tools to support the legislative process, for example by speeding up impact assessment, consolidating consultation feedback, comparing EU and Estonian law, and identifying inconsistencies, overlaps and errors in legislation. The goal is to improve the quality of legislation and streamline the process.

The project is led by the Ministry of Justice and Digital Affairs

The project develops and pilots AI tools for below-threshold public procurement. The tools will support drafting procurement documents, finding suitable suppliers, conducting negotiations, and assessing whether IT specifications and proposed solutions meet requirements.

Automated checks and decision-support tools will also be built into procurement procedures to reduce manual work, make practices more consistent, and improve procurement quality, speed and compliance. This will make it easier for businesses to take part in below-threshold procurement while reducing the administrative burden on both businesses and the public sector.

The project is led by the Ministry of Finance and the State Shared Service Centre.

The project lays the groundwork for wider adoption of AI tools across the public sector by making widely used tools available to public-sector employees and piloting their systematic use in at least ten institutions while redesigning the relevant work processes. By the end of 2027, the goal is to reach 3,000 users.

The project is led by the Ministry of Justice and Digital Affairs.

Estonia’s ability to develop, deploy and manage the next generation of digital services depends on having sufficient domestic computing capacity, which is currently lacking. The project assesses demand across the public and private sectors to determine what AI computing infrastructure the state needs, at what scale and in what form. An analysis of AI infrastructure needs was completed in summer 2026. 

Further infrastructure investment and development will be coordinated by the Ministry of Justice and Digital Affairs.

The project is led by the Ministry of Justice and Digital Affairs.

The project aims to accelerate the development, testing and adoption of high-quality AI-powered education solutions in Estonian schools and support the safe, effective and purposeful use of AI in teaching and learning. It develops practical AI solutions for teachers, students, school leaders and school owners, and helps schools prepare to use them.

By the end of 2026, the goal is to develop five AI solutions ready for classroom use and pilot them in 20 schools. An online AI course for students has also been completed.

The project is led by the Ministry of Education and Research.

The project will create a framework for education data exchange, enabling the standardised, secure and auditable exchange of learning data between educational institutions, service providers and the Estonian Education Information System (EHIS). This will lay the groundwork for personalised learning and AI applications, including comprehensive management of each student’s digital record.

The project is led by the Ministry of Education and Research.

The project will create the first publicly available Estonian-language post-training dataset for sensitive domains such as law and healthcare, assess how it affects language-model quality, and develop a methodology for measuring models’ performance in Estonian. The project will deliver a measurable improvement in at least one open language model.

The project is led by the Institute of the Estonian Language.

The project will integrate AI-based transcription solutions with PAI, Estonia’s primary care information system. The integration will help automate clinical documentation for family physicians and nurses, reducing administrative workload.

The project is led by the Ministry of Social Affairs and the Estonian Health Insurance Fund.

The project will use automated transcription to reduce the administrative workload involved in completing ambulance records in Estonia’s eAmbulance system (eKiirabi), while making documentation faster and improving data quality.

The project is led by the Ministry of Social Affairs and the Estonian Health Insurance Fund.

The project will use a transformer model to support more effective prevention of chronic diseases and shift healthcare financing towards prevention. It will pilot two prevention and care pathways, focusing on cardiovascular disease and type 2 diabetes.

The project is led by the Ministry of Social Affairs, the Estonian Health Insurance Fund and the Health and Welfare Information Systems Centre (TEHIK).

Using heart disease as the first use case, the project will create a common solution for Estonia’s healthcare system, based on an open data standard, to collect clinical data during routine care and use it systematically for quality management, funding decisions, policymaking and research. Standardised data will make it possible to assess treatment outcomes, use resources more efficiently, identify patients who might otherwise be overlooked, and lay the groundwork for new AI solutions.

The project is led by the Ministry of Social Affairs and Tartu University Hospital.

The project aims to map out the legal and technical options for registering AI agents.

The project is led by the Estonian Business and Innovation Agency (EIS).