1.ROUNDTABLE: Innovate Boldly, Govern Carefully: Navigating Vendor Risk in Agentic AI 

Led by Neil Aronson, Global Head and Senior Director Strategic Sourcing & Vendor Risk Management, Coinbase  

2. ROUNDTABLE: Evolving Team Structures for the Age of Agentic AI 
Led by Ahmad Fattahi, Executive Director, Gen AI, Genentech

As agentic AI systems move from copilots to autonomous collaborators, organizations must rethink how teams are structured, managed, and scaled. This roundtable explores how to prepare an organization culturally for these changes. Join fellow leaders to discuss role redesign, decision rights, governance, and performance metrics.

3. ROUNDTABLE: Trust at Scale: The Human Architecture Behind Enterprise Agentic AI

Led by Gopal Renganathan, Senior Director, Data & Analytics, Compass International Holdings

This roundtable explores the full lifecycle of human oversight in agentic AI systems from initial training and evaluation to real-time monitoring, correction, and retraining to measurement of human judgement. We'll assess oversight models by risk profile, organizational readiness of roles, tools and thresholds for human intervention, as well as impact of human oversight on enterprise confidence, compliance and time to value. Join other practitioners discussing regulatory and audit expectations, and alignment of enterprise governance with standards and risk frameworks. Walk away with practical insights on how to quantify human error risk and design of oversight workflows to minimize it.

4. ROUNDTABLE: How to Build the Business Case and ROI Payback Timeline for Agentic AI

Led by Ajay Kumar, CIO, Zero Motorcycles 

•    Defining what business value means
•    Real-world examples across industries: from autonomous customer service agents  to dynamic R&D copilots
•    What it takes to move from experimentation to production—including data, architecture, and change management
•    Best practices for optimizing inferences
•    How to measure ROI, value creation, and performance gains in real-world agentic deployments
•    Lessons from enterprises that successfully moved from pilot experiments to production-ready agent ecosystems