The starting point is an honest assessment: which processes exist, where does data reside, which tools are in use? In many public sector organizations, this reveals that the digital foundation must be established first before AI can be deployed meaningfully.

On this basis, a target vision emerges that integrates digitalization and AI readiness. The strategy defines concrete action areas — from data infrastructure and process digitization to initial AI use cases. Realistic prioritization is key: not everything at once, but step by step, with measurable progress.

Equally important is employee engagement. AI strategies rarely fail because of technology — they fail due to lack of acceptance and unclear responsibilities. Change management must be part of the equation from the start.