AI Adoption Change Management Checklist

Change doesn’t fail because the tech is bad — it fails because people are left behind. In fact, according to McKinsey, 70% of all change efforts fail, most often due to a lack of attention to people and culture — and AI is no exception. Even the best AI strategy will fail if leaders underestimate the human side of change. Most transformation breakdowns don’t happen because of the technology itself – they happen because people feel left behind, unheard, or uncertain about their future.

This checklist is designed to close the gap between strategy and execution, helping leaders adopt AI with trust, transparency, and long-term success.

In this checklist you will:

  • Set a strong foundation for AI adoption with clear goals and leadership alignment
  • Activate adoption through AI literacy, manager enablement, and early champions.
  • Embed adoption into culture with processes, community, and feedback loops.
  • Use practical tools and frameworks to support rollout and long-term success.


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