AI Readiness Assessment

Before the pilot, find out where you actually stand.

Most AI initiatives fail for the same three reasons. Ten questions tell you whether yours is set up to avoid them — and what to fix first if it isn't.

10 questions — about 8 minutes No login required — your answers stay in this browser Scored immediately — on submission

What the score measures. The research on mid-market AI adoption is blunt: firms that define a success metric before they start succeed at a rate of 54%. Firms that don't succeed at 12%. Data readiness shifts those numbers from 47% to 14%. Sustained executive sponsorship from 68% to 11%. These three factors are what the assessment is built on — not vendor marketing, not generic "digital maturity" scales. Every question maps to one of the three controllable reasons mid-market AI initiatives succeed or fail. Your result tells you which gap to close first.

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Your Score

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0 — Foundation gaps 20 — Pilot-ready 40 — High fit

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This assessment is the companion tool to AI That Pays for Itself: The Mid-Market Operator's Guide to Automation That Actually Ships by Raymond Payne. The scoring framework is grounded in the three controllable AI success factors documented in Chapter 1. The full failure-mode analysis, the 90-day delivery model, and the governance framework are in the book.