This EY paper outlines a framework for managing AI and agentic AI use cases so they create value while staying controlled and compliant. It proposes three pillars: Strategic alignment (clear ownership, governance, problem definition, and operational impact), Value alignment (cost–benefit analysis, ROI, and portfolio prioritization), and Risk management (assessing business, data, ethical, and regulatory risks, plus continuous monitoring of autonomous behavior). By treating AI as a governed product lifecycle, organizations can balance innovation, financial return, and responsible, human-oversighted deployment.

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