Revise an AI training plan from feature exposure into workflow practice that builds ability.
A rollout training plan looks busy but is not producing ability. Reveal the redesigned version. Before: feature tour, passive attendance, no real workflow rehearsal. After: workflow lab, real practice, review rubric, and friction capture. Moved from feature exposure to workflow rehearsal, which builds ADKAR ability rather than only knowledge. Used pilot examples so Rogers-style relative advantage is observable and compatible with real work. Added a review rubric and support channel so errors become learning, not private failure. Captured friction after practice, giving champions the material needed for scale. Practice the behavior you plan to scale. enablement design Moved from webinar…
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