Agentic AI systems, which operate with increased autonomy to make decisions and take actions, are creating new challenges for regulatory frameworks and institutional oversight. Industry stakeholders are examining governance structures needed to manage the risks and capabilities associated with these more independent AI agents. The discussion highlights growing concerns about accountability, control mechanisms, and the regulatory approach required as AI systems become more self-directed.