Section outline
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Introduction
This section equips you to design AI governance that enables strategy execution while managing risk in real-world company environments. You’ll translate policy intent into practical controls, monitoring, and assurance evidence that supports safe deployment at scale. The focus is on making governance operational: measurable, auditable, and aligned to regulatory expectations and board oversight.
Learning Objectives
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Define an AI governance framework that connects policies, standards, committees, and decision rights.
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Design preventive, detective, and corrective controls across the AI lifecycle and operating model.
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Specify monitoring and evidence requirements to support auditability, regulatory alignment, and board reporting.
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