The OECD.AI Policy Navigator

Our policy navigator is a living repository from more than 80 jurisdictions and organisations. Use the filters to browse initiatives and find what you are looking for.

Automated documentation


Added by:   OECD analyst
Added on:   27 Oct 2026
Updated by:   OECD analyst
Updated on:   27 Oct 2026

The initiative will develop and test AI assistants that help municipal and regional employees automatically document, journalise and take minutes in relation to specific categories of meetings or case handling. It is intended to benefit the public administration by saving time and improving accuracy. Additionally, it will help reduce manual paperwork, minimise errors and free officials to focus on decision-making and citizen services.

Name in original language

Automatiseret dokumentation

Initiative overview

The initiative addresses administrative burdens and the risk of errors in manual documentation, journaling and minute-taking in municipalities and regions. It is expected to increase efficiency in relation to routine record-keeping tasks, thereby freeing up officials’ time for more complex tasks and citizen services. The objectives are to increase efficiency and accuracy in documentation processes, ensure timely documentation and enhance transparency and auditability across public bodies. A further objective is to test usability and governance requirements for the responsible use of AI in the municipalities and regions. If the use of AI for documentation tasks proves successful, then the initiative is expected to scale across municipalities and regions beyond the initial project participants and use cases.

Results, outcomes and impacts

The initiative is still in an early phase; thus, no results have been observed so far. The goal of the initiative is that more than 50 municipalities will test AI assistants to help with documentation in relation to the employment sector. Additionally, more than 30 municipalities are expected to test AI assistants to help with documentation in relation to the healthcare sector. Finally, all four Danish regions are expected to test at least one use case where AI assistants are used in documentation-related tasks.

Challenges and lessons learned

The main challenges faced by the initiative relate to data, technology and organisational factors. Insufficient data or data of insufficient quality will make it challenging to train AI systems with the desired levels of accuracy and precision for tasks related to automated documentation. Closely related to this, even if the data is sufficient, there might be technological factors that create implementation challenges for the initiative. This might be a lack of access to AI systems of sufficient quality or a lack of technical resources to implement these systems within the desired public authorities. Additionally, organisational factors may have an effect on how the initiative develops. Without the right organisational setup and a plan for implementing automated documentation in specific processes, the impact could be lower than expected.

About the policy initiative


Category:

  • AI policy initiatives, programmes and projects

Initiative type:

  • AI use cases/projects in the public sector

Status:

  • Active

Start Year:

  • 2025

Target Sectors:


OECD AI Principles:

—

Other relevant urls:

—