Reading & motion

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Governance & responsibility

From initial guidance to clear ownership, costs and ongoing oversight.

Documents and a human approval point illustrate accountability and ongoing AI oversight.
AI-generated illustration · AI Alliancen

Three starting points

01 · Presentation: Jesper Schmidt · Sønderborg

AI becomes an operational capability

Connect AI consumption, environments and operations to clear owners.

02 · Kalundborg

Project Andrea: one entry point for municipal AI tools

Explore how one entry point for AI tools raises questions about ownership and risk assessment.

03 · Danish Agency for Digital Government

How public authorities can adopt AI responsibly

Start with the Danish Agency for Digital Government’s guide for public authorities.

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Practice & learningAI Alliancen

Our code — AI Alliancen

AI Alliancen connects municipal experience, research and technical insight — and turns it into shared knowledge.

Open material
Practice & learningVejle

Bertha: 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.

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Practice & learningKalundborg

Project 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.

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Practice & learningAarhus

AarhusAI 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.

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Practice & learningPresentation: Jesper Schmidt · Sønderborg

AI becomes an operational capability

Copilot Credits are a shared unit of consumption for Microsoft’s AI services. Pre-purchased capacity can be combined with pay-as-you-go, and consumption can be managed through budgets, alerts and limits. Credits should therefore be treated as an operational resource: every use case needs an owner, an environment, a budget and an agreed response to deviations. Microsoft describes the Default environment as suitable for experimentation and lightweight development, not business-critical solutions. Governance consequently spans finance, security, law, product ownership and continuous change management.

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Practice & learningPresentation: Daniel Corydon-Petersen · Gladsaxe

Vibe coding with a production gate

Vibe coding can shorten the route from need to prototype, but responsibility for software in operation remains unchanged. GitHub recommends checking function, context, security, maintainability and dependencies, supported by automated tests and human review. A responsible municipal model therefore gives low-risk prototypes an isolated experimentation track, followed by a clear production gate. Otherwise, the maintenance burden and technical debt appear only after the impressive demonstration.

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