Diagnose AI adoption blockers using Awareness, Desire, Knowledge, Ability, and Reinforcement.
The move: diagnose the human barrier before changing the tool. ADKAR breaks adoption into five outcomes: Awareness, Desire, Knowledge, Ability, and Reinforcement. This matters for AI because the tool can be technically sound and still fail to become work. Awareness Do users know why this AI workflow exists and what business pain it solves? Desire Do they personally want to use it, or do they see it as surveillance, quality risk, or extra work? Knowledge Do they know how to use it well enough to avoid obvious failure modes? Ability Can they use it under real constraints: time pressure, messy…
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