Strategy
Change Management (AI)
Change management in AI transformation is the structured approach to preparing, equipping, and supporting employees through the behavioral, role, and process changes that AI deployment requires. Research consistently shows that people-side change is responsible for 80% of AI transformation failures — not the technology.
Effective AI change management addresses fear of displacement, workflow redesign, competency building, middle-management buy-in, and leadership communication. Organizations that skip change management see AI tools adopted by early adopters and ignored by the majority, producing near-zero organizational ROI.
Related terms
- AI Transformation — AI transformation is the redesign of an organization's processes, roles, and decision-making so that AI becomes how the organization works, not a tool the organization owns.
- AI Maturity Model — An AI maturity model is a five-level framework that classifies organizations by how systematically they develop, deploy, and govern AI: Level 1 (ad hoc experimentation), Level 2 (isolated pilots), Level 3 (repeatable processes), Level 4 (managed and measured), Level 5 (optimizing and self-improving).