The experiment
Could AI agents produce a credible, end-to-end strategy and architecture package for Dutch municipal digital transformation, and how much of it would survive scrutiny? I directed the exercise in February 2026, using the Dutch municipal reference architecture GEMMA and Common Ground as the frame.
What came out
- A target architecture with twenty layers, thirteen technical and seven for product management.
- Twenty-five capabilities, each with owner, dependencies and maturity path.
- A five-year roadmap with year one, three and five horizons, SAFe portfolio structure, eleven personas and playbooks.
- Governance, service-level and data-processing templates.
- A development starter: API specifications, tenant-isolated database migrations, policy-as-code and deployment templates.
The responsible-AI capability sits in the model from day one: human oversight of automated decisions, bias monitoring, explainability and EU AI Act conformity, with AI maturity staged deliberately over the five years rather than promised in year one.
What I learned
Breadth is now cheap. A package that would have taken a team a quarter took days. What did not get cheaper was judgement: validating every claim, catching the places where generated text was confidently wrong, and deciding what to cut. The work of a strategist moved from writing to curating, and the quality of the result depended entirely on how hard I pushed back.
This remains a speculative blueprint, not a shipped programme. Its value to me is the method and the argument it sharpened about what municipalities actually need from a platform.