The IT executives, architects, integration leads, and business systems leaders who connect AI to meaningful automation, enterprise applications, and critical workflows are the ones defining this moment. Hear from Workato CTO Adam Seligman on where Agentic AI is headed, what's actually working in production, and how to take away the architecture, frameworks, and perspective to go back and build something that matters.

Okhtay Azarmanesh, Principal AI Architect at Snowflake, breaks down how MCP transforms fragile, point-to-point AI integrations into governed, scalable multi-agent systems. Drawing on Snowflake's own deployments, he'll walk through the architectural evolution from single to multi-agent frameworks, while covering role-based access control, human-in-the-loop design, and the shift toward hybrid deterministic and agentic workflows.

AI agents are only as powerful as the work they can execute reliably. Without orchestration connecting agents to enterprise systems, data, and workflows, you get a next generation chatbot. One that is capable of generating answers, but unable to drive outcomes. Rahul Dureja, Chief Strategic Architect at Workato, will provide a practical guide for building transformational AI agents with Model Context Protocol enabling secure and governed agent-to-system actions. Join to see how pairing AI with robust integration turns agents into trusted, proactive teammates.

Most organizations have spent the past few years experimenting with AI. Now comes the harder part: delivering measurable business value at scale. This fireside chat is for IT and business leaders navigating that pressure, with practical perspective on what separates pilots that stall from agents that transform how work gets done. Walk away with a sharper point of view on where to focus, what to stop, and how to build for outcomes your organization will actually feel.

To wrap up,  Workato CTO Adam Seligman will return to the stage to highlight key takeaways from the day’s sessions on AI architecture leveraging model context protocol (MCP), and real-world deployments. Leave with a clear next step: identify one workflow where meaningful orchestration would transform your enterprise AI function from a chatbot into a teammate, and start building.