AI readiness is not a question of whether your company can buy an AI tool. It is whether your data, workflows, controls and operating model can support automation that produces a reliable business result.
Start with the work, not the model
The most useful first question is usually: where are people spending time moving information, reconciling systems, interpreting documents or repeatedly making the same bounded decision? Those are candidates for automation. Some need AI. Many do not. The assessment separates the genuinely useful opportunities from the expensive demonstrations.
Opportunity
Map high-friction workflows and identify where AI or automation could materially change cost, speed, quality or customer experience.
Readiness
Examine data access, integration, process ownership, security, privacy and the human controls needed to operate the system safely.
Roadmap
Prioritize a small number of initiatives by business value, implementation difficulty and risk rather than chasing every possible use case.
What you leave with
A plain-language assessment of where AI makes sense, what is blocking it today, what should be automated without AI, and a practical sequence for moving from experimentation into production. The objective is not an AI strategy deck. It is a set of decisions you can act on.