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The Governance Gap examines the widening divide between rapid AI adoption and executive control. As organizations race to deploy generative AI, agentic systems, automation, and AI-enabled workflows, many are relying on outputs before they have clearly defined ownership, review, escalation, documentation, vendor controls, and accountability.
The book argues that the real risk does not begin when AI produces an answer. It begins when an institution chooses to rely on that answer.
Through practical governance framing, operational examples, and executive level analysis, The Governance Gap gives leaders a clear way to understand where AI risk enters the organization, how invisible rework forms, and why governance must be built before reliance becomes business action.
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