Direct answer
An AI readiness assessment identifies where AI is commercially useful, operationally feasible and safe enough to test. It should produce a ranked set of use cases, not a vague transformation roadmap.
What gets assessed
Readiness covers process maturity, data sensitivity, system access, team capability, decision risk and measurable outcomes.
What good looks like
A useful assessment helps the leadership team choose one or two high-fit first projects, define guardrails and avoid buying tools before the problem is understood.
Output
The output should include recommended first moves, risks to resolve, build-versus-buy considerations and a shortlist of candidate projects for implementation.