AI readiness is not a general score. An organisation may be ready for one low-risk workflow and unready for another. The review should lead to a decision: test, prepare first or do not proceed.
Check the business problem
Define the current process, users, baseline and target. Compare AI with a process improvement or existing product.
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Check data and people
Confirm that information is usable, current and lawful. Name the business owner, users, reviewer, technical support and risk contacts. Give affected staff a role in testing.
Check controls and technology
Match control to possible harm. Review identity, integration, security, privacy, data location, language, support and exit. For MENA operations, verify each country and sector rather than assuming one regional answer.
Produce a short result
List evidence, gaps, owner and next action for each area. Do not hide a material blocker inside an average maturity score.
Avoid a false average
Report readiness by use case and dimension. A strong technology score cannot cancel unclear ownership or unlawful data use. Show the blocking gap, the evidence required and who must resolve it. Repeat the review only after the evidence changes.
Use the result to sequence preparation rather than to rank departments.
Your next step
Assess one proposed use and name the evidence required before a pilot begins.