AI Readiness Assessment · Free · 12 questions

Is your organization ready for AI that pays?

Most AI initiatives stall on foundations, not models — data that conflicts, workflows nobody mapped, governance that arrives too late. Score your readiness across the four dimensions that decide whether AI produces ROI or demos.

Takes about 4 minutes. Answer honestly — the score is only useful if it's true.

The assessment

Rate each statement as it is today — not where you plan to be.

0 of 12 answered

1. Our critical business data (customers, orders, cases, records) is accurate, current, and trusted by the people who use it.
2. Each critical business fact has one system of record — AI tools wouldn't have to guess which version is true.
3. The data an AI tool would need is accessible through governed APIs or platforms — not locked in silos, PDFs, and personal drives.
4. We can name the specific workflows where AI should create value — with a baseline metric for each, not just enthusiasm.
5. Our high-volume workflows are documented well enough that we know where a human handoff could become automation.
6. We have an AI usage policy in force: which tools are approved, what data may be used in them, and who decides.
7. Access controls on our data are good enough that an AI assistant could search broadly without exposing what it shouldn't.
8. Consequential AI-assisted decisions have defined human review points — we know where a person must stay in the loop.
9. Past AI or automation efforts were measured against a baseline — we know what worked, what didn't, and why.
10. Our teams have the skills — or a named partner — to evaluate, deploy, and operate AI tools beyond a vendor demo.
11. Leadership treats AI as a capability investment with expected ROI — not as an experiment budget or a checkbox.
12. If an AI deployment succeeded in one team, our platforms and processes could scale it to the rest of the organization.