AI Readiness Assessment

Executive leadership has a clearly articulated AI strategy tied to business outcomes.

AI investment is prioritized against measurable value, not vendor pressure.

Core business data is accessible, governed, and of usable quality.

Data classification and protection policies address generative-AI use cases.

An AI acceptable-use policy and human-in-the-loop guardrails exist and are enforced.

There is a defined intake and review process for new AI use cases.

High-value candidate workflows for AI have been mapped and prioritized.

Employees have access to training, prompt libraries, and internal champions.

The organization has a change management function that has landed prior technology adoption.

Adoption, productivity, and ROI of AI initiatives are actively measured.