This ebook explores the urgent need for structured AI governance as organizations rapidly adopt AI without clear oversight, creating risks around data exposure, bias, and security breaches. It argues that governance is not a barrier but an enabler of innovation, providing frameworks for centralizing AI use, improving visibility, and mitigating risks in real time. The guide outlines key steps such as inventorying AI use cases, defining risk levels, establishing guardrails, assigning ownership, and continuously monitoring performance. By treating AI governance as a strategic asset, organizations can build trust, ensure ethical AI use, and position themselves competitively in an increasingly AI-driven landscape.

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