AI Readiness Diagnostic

1We have a clearly defined business case for adopting AI, with measurable outcomes.

2AI initiatives have visible executive sponsorship and a named senior owner.

3The data we would need to train or ground AI models is identified, accessible, and documented.

4We have visibility of data quality and lineage for the datasets we'd rely on.

5We have (or can readily access) AI/ML expertise within or adjacent to the team that will operate the solution.

6Our users and stakeholders understand how AI will change how they work, and there is a change plan in place.

7We have a published policy covering responsible AI use, data handling, and human oversight.

8Our infrastructure can support AI workloads — including secure access to models, compute scaling, and monitoring.

9We have assessed the risks of our planned AI use case(s) — including bias, hallucination, regulatory exposure (e.g. EU AI Act), and mitigation plans.

10We have a plan for monitoring AI model performance, drift, and outcomes in production.