Agents in the Enterprise: Context, Control, and Reality
Enterprise AI agents become far more consequential when they move beyond demos and begin acting across real workflows, data, and business processes. “Agents in the Enterprise: Context, Control, and Reality” brings together leaders from Safe Intelligence, Tokio Marine, The Fedcap Group, Morgan Stanley, and PNC to examine the practical realities of agentic AI in enterprise environments. This panel explores three closely connected dimensions of enterprise agents: the context they need to operate effectively, the controls required as autonomy increases, and the realities organizations face when translating agentic AI concepts into production systems. For enterprise data and AI leaders, the conversation sits at the intersection of context engineering, AI governance, risk management, and production readiness. As organizations progress from pilots to production, agentic systems introduce new considerations around enterprise knowledge, orchestration, oversight, security, and accountability. KEY TAKEAWAYS • Explore the role of context in building enterprise AI agents that can operate within real organizational environments • Examine control and governance considerations as agentic systems take on more complex tasks • Understand how enterprise AI leaders are approaching the realities of moving agents toward production • Consider agentic AI through the lens of risk management, data engineering, analytics, and enterprise architecture • Gain perspectives from leaders working across financial services, insurance, technology, and enterprise data and AI SPEAKERS / PANELISTS 📢 Steven Willmott, CEO | Safe Intelligence 📢 Patrick Gallic, Head of International AI Hub | Tokio Marine 📢 Atena Sadeghi, Global Head of Enterprise Data Engineering & Analytics | The Fedcap Group 📢 Ken Zhang, Distinguished Engineer, Global Head of GenAI, Data Science & Engineering | Morgan Stanley 📢 Alexey Smurov, SVP, Head of LOB Model Risk Management | PNC This session was brought to you by Safe Intelligence. ABOUT AI ENTERPRISE CONFERENCE 2026 Hosted by Data Science Connect on September 1, 2026 in New York City, AI Enterprise Conference 2026 brings together Fortune 500 decision-makers, enterprise data and AI leaders, and leading technology providers to explore how organizations can build, scale, govern, and operationalize AI. The conference theme, “AI for Enterprise: From Pilots to Production,” focuses on what it takes to turn enterprise AI experimentation into scalable, governed, secure, production-ready systems tied to real business outcomes. Watch the full panel for perspectives on context, control, governance, and the realities of deploying AI agents in the enterprise. Subscribe to the Data Science Connect YouTube channel, explore more AI Enterprise Conference 2026 sessions, and discover additional insights from enterprise data and AI leaders.