This infographic-style asset explains why AI agents introduce new governance challenges beyond traditional models. It highlights risks such as autonomous decision-making, unclear accountability, model drift, and lack of transparency. The visual outlines governance pillars needed to manage AI agents at scale, including intake controls, clear ownership, policy enforcement, monitoring, and auditability. It emphasizes embedding governance early so AI agents remain aligned with business goals, ethical standards, and regulatory requirements. The content positions scalable AI governance as essential to unlocking value while maintaining trust and control.

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