AI governance defines rules and risk boundaries. An AI operating model determines how decisions, agents, humans, knowledge, resilience, and value work in practice.
AI productivity calculations usually begin with the work automation removes. They often miss the work created around the system: human review, corrections, escalations, leadership decisions, knowledge maintenance, change, and recovery. Those costs can change both the economics and the operating design.
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