AI Readiness Self-Assessment

Know Where You Stand
Before You Build.

80% of AI projects fail — twice the rate of non-AI technology projects. Research from McKinsey, RAND, and MIT consistently shows the culprit isn't the technology. It's the organizational factors most assessments never ask about: whether workflows have been redesigned, whether data is actually production-ready, whether middle managers are enabled or quietly resistant.

This assessment is built on that research. Use it however it's most useful — take it yourself, share it with your leadership team, or hand it to whoever is leading your AI effort. Whether that's Motive AI, another firm, or your own team, these are the questions worth answering before any project begins.