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COMPEL Glossary / ai-change-management
AI change management
The discipline of preparing, supporting, and reinforcing people through AI transformation — distinct from project management (which manages tasks) and from the broader organizational change-management tradition (which is not AI-specific).
What this means in practice
Addresses AI-specific resistance patterns, AI literacy stratification, and human-AI collaboration pattern selection.
Synonyms
change management for AI , AI transformation change management
See also
- AI Change Plan — An executive-grade, living artifact aggregating stakeholder landscape, AI-specific resistance map, AI literacy segmentation and enablement plan, communication strategy, role-redesign actions, adoption metrics, reinforcement mechanisms, and portfolio-capacity analysis.
- AI-specific resistance — Resistance patterns distinct to AI transformation — fear of role replacement, distrust of algorithmic opacity, prior adverse experience with automation, and legitimate ethical concern about bias or surveillance.
- ADKAR — Prosci's five-stage individual change model — Awareness, Desire, Knowledge, Ability, Reinforcement — that describes the sequence through which a single person adopts a change.
- Kotter 8 Steps — John Kotter's organizational-level change method with eight sequenced steps: create urgency, build a guiding coalition, form strategic vision, enlist volunteer army, enable action by removing barriers, generate short-term wins, sustain acceleration, institute change.