As enterprises rapidly deploy AI agents across IT, security, and business operations, leaders face a critical challenge: enabling autonomy and innovation while complying with the EU AI Act’s requirements for safety, accountability, and human oversight. This session introduces bounded autonomy as a practical model for operating AI in regulated environments—where AI agents are empowered to act, but within clearly defined policy, risk, and governance boundaries. Rather than slowing innovation, the EU AI Act’s risk-based approach can serve as a design framework for scalable, trustworthy AI systems. Attendees will learn how organizations are converging CIO and CISO priorities around shared objectives such as data integrity, explainability, and controlled decision-making. The discussion will cover how to design AI programs with built-in guardrails, including autonomy limits, human-in-the-loop oversight, and continuous monitoring, enabling enterprises to safely scale AI agents while maintaining compliance and accelerating business outcomes.