Implementation & learning
Experience with staff, skills and organisation close to real municipal work.
Three starting points
Bertha: AI support where employees already work
Explore Bertha as a service that needs content, training and ownership.
02 · AarhusAarhusAI and OS2ai: from a local platform to shared capability
Consider what can be shared and what still requires local operation.
03 · KLLarge-scale AI projects in Danish municipalities
Explore KL’s joint municipal large-scale AI projects.
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Our code — AI Alliancen
AI Alliancen connects municipal experience, research and technical insight — and turns it into shared knowledge.
Open materialBertha: AI support where employees already work
Developed with InDialog, Bertha is available on the municipal intranet. Staff use it to find guidance, proofread and make public-facing text easier to understand. Intranet content informs its answers and needs ongoing maintenance. The Danish Agency for Digital Government also describes training in prompting and critical assessment, alongside legal involvement, risk assessments and a data-processing agreement during implementation.
Open materialProject Andrea: one entry point for municipal AI tools
Project Andrea brings generative AI tools together in one app for municipal employees. The initiative originated in Kalundborg Municipality and was developed with Promte. The solution is in operation in Kalundborg. KL's earlier case also describes risk assessments for assistants.
Open materialAarhusAI and OS2ai: from a local platform to shared capability
AarhusAI brings general and specialist assistants together for employees. The platform is shared through OS2 as OS2ai. Its documented capabilities include document analysis, organisational sources through RAG and shared assistants. It combines open-source and source-available components; model selection, hosting and operation require local decisions. Aarhus ITK has also described AI training and network events as part of its work on staff capability.
Open materialTalt: from spoken notes to draft home-visit descriptions
Copenhagen, Aarhus, Aalborg and Systematic developed prototypes tested in 2024–2025 with staff from 11 municipalities. One use case combined speech recognition and a language model: dictation became text and then a draft visit description for staff to review and edit. The trials used synthetic citizens and records. The project also publishes code, datasets and technical reports.
Open materialRoboRef: more attention during conversations with citizens
Gladsaxe describes RoboRef being used in its Family Department and Social and Health Administration. Speech-to-text and generative AI turn the meeting into draft minutes, which staff read, edit and approve. The municipality's information on AI minutes also describes informing citizens and states that individual case records are not used to train models.
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