Where does your organisation stand?

01Leadership has agreed where AI should create value in the next 12 months, with owners and budget.

02AI initiatives are prioritised against a shared value/feasibility/risk scorecard rather than by enthusiasm.

03The data needed for your top use cases is accessible, documented, and of known quality.

04Access controls and lineage are good enough that a system could cite its sources and respect permissions.

05Data residency and sovereignty requirements are defined and enforceable.

06You can deploy a model-backed service to production through a repeatable, tested path.

07You have a way to evaluate model outputs systematically before and after release.

08Inference costs are visible per system, and you can route between models by cost and quality.

09You maintain an inventory of AI systems with risk classification aligned to the EU AI Act.

10Human oversight, decision boundaries, and audit trails are designed into systems, not added later.

11Teams that will work alongside AI systems have been trained for their changed roles.

12There is a named owner for adoption, with metrics that are reviewed at least monthly.