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Why Is AI Governance Moving From Policy to Runtime Control?
AI governance is entering a more consequential phase. As AI systems move beyond generating recommendations and begin accessing data, invoking software, initiating workflows, and executing business actions, traditional policy-led oversight is becoming insufficient. The decision horizon is immediate: enterprises are already deploying agents into customer service, operations, finance, procurement, and regulated workflows, while boards remain accountable for actions they may not yet be able to trace or stop in real time. Across BCG, Bain & Company, Forrester, Gartner, KPMG, PwC, EY, Deloitte, and…
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