AI Readiness Self-Assessment

Know where you stand before you build.

Most AI projects fail — and the research from McKinsey, RAND, and MIT keeps finding the culprit isn't the technology. It's the organizational factors most assessments never ask about: whether workflows have been redesigned, whether data is production-ready, whether middle managers are enabled or quietly resistant.

Take it yourself, share it with your leadership team, or hand it to whoever's leading your AI effort. These are the questions worth answering before any project begins.

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