Three at a Table EP01 turns the AI adoption KPI problem into a three-person conversation. One voice keeps the flow, one adds the operating concept, and one asks the practical questions a real listener would bring.
The core point is simple: count what improved before counting how often the tool was used. If a team wants to avoid turning work into performance theater, it needs metrics and verification responsibility designed together.
Take-aways
- AI adoption metrics should start with outcome improvement and verification responsibility.
- The talk format keeps concept, field questions, and operating conclusions in one flow.
- Preventing performance theater requires both metrics and accountable owners.
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