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High AI adoption can leave key business bottlenecks unchanged. Leaders need workflow-level governance that connects intended outcomes, operating controls, and actual results. Business yield, not tool use, gives executives a basis for deciding which AI deployments to correct, expand, or stop funding.
November 5, 2026
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Customer-facing AI approval should change when a system’s authority, purpose or human oversight changes. Explicit permissions, realistic testing and usable recourse help teams control risk after launch. A named owner must track outcomes and act when the original safeguards no longer fit its purpose.
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