Define the operating model for an AI champion network that can support scale.
The move: treat champions as a managed network. A champion program fails when it is just a badge. For AI rollout, champions sit at the point where uncertainty becomes practice. They answer peer questions, model guardrails, surface friction, and make pilot proof observable. Role clarity A champion is not responsible for selling every AI feature. The role is to help peers use a specific approved workflow safely, then report what blocks adoption. Cadence and feedback Champions need a regular huddle, current materials, and a shared friction log. Otherwise every champion invents answers and the rollout team misses patterns. Manager connection…
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