Responsible Autonomy: Building Governance Frameworks for AI That Act in the Real World via MCP

Responsible Autonomy: Building Governance Frameworks for AI Agents That Act in the Real World via MCP What happens when AI agents move beyond answering questions and start taking real-world actions? In this session, Saurabh Mishra, Lead DevOps Engineer at Optum, explores the governance challenges that emerge as MCP-powered agents gain the ability to read emails, update CRMs, execute code, move money, and trigger business workflows autonomously. Rather than focusing solely on what agents can do, Saurabh looks at how organizations can deploy them responsibly without sacrificing the speed and autonomy that make agentic AI valuable. Drawing on real-world examples across finance, healthcare, legal, and enterprise IT, the session introduces practical approaches for implementing scoped permissions, human-in-the-loop controls, audit trails, and policy guardrails for MCP-connected agents. If you're building or deploying AI agents that can take action in real-world systems, this session offers a practical framework for answering one of the most important questions in agentic AI: who is accountable when an agent acts? 🎤 Speaker: Saurabh Mishra - Lead DevOps Engineer, Optum 📌 Topic: Responsible Autonomy: Building Governance Frameworks for AI Agents That Act in the Real World via MCP Want to be part of the community building the future of agentic AI? Join the Agentic AI Foundation (AAIF) and connect with the people, projects, and organizations shaping open standards for agentic AI. https://aaif.io/news/linux-foundation-announces-formation-of-aaif