When being wrong is expensive.
AI in industries that cannot move fast and break things.
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Built for regulated sectors: how to design an AI capability that a supervisor, an auditor or a court can inspect afterwards — without governance so heavy that the work goes underground. Uses GDPR and the EU AI Act as concrete cases rather than a compliance lecture.
- Governance as a lane instead of a gate, with the design rules that make it one
- The four production constraints that kill sandbox projects, known up front
- How to tell a real regulatory blocker from an inherited assumption


