AI Readiness Diagnostic — Lightweight

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

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

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

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

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

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

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

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

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

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