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Why Is AI Governance Becoming the Board’s New Control Agenda?
Governance has crossed a strategic threshold — from internal policy to board-level control for regulation, sovereignty, and audit-ready scale. AI governance has crossed a strategic threshold. What began as an internal policy exercise is becoming a board-level control agenda for regulation, copyright exposure, vendor dependency, data sovereignty, and audit-ready scale. The decision window is narrowing as AI regulation fragments across markets, autonomous systems enter enterprise workflows, and clients, regulators, and boards begin asking for evidence rather than intent. The consulting…
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