Architecting AI agent deployment that works

Overview

Many AI agents stall at the prototype phase. This session covers the architectural and integration choices that help enterprise IT teams deploy agents that actually work—in real systems, not just demos.

What you’ll learn 

• Why most AI agent deployments stall—and what IT leaders are doing to fix it
• How governance, data access, and integration design impact production success
• What to expect from a platform built for dynamic, agent-led automation
• A real-world demo of Tray’s Merlin Agent Builder handling IT support task

Session chapters

1. From hype to reality: What’s holding back AI agents
2. Integration first: Why architecture matters
3. Inside Tray: Our platform approach to agent deployment
4. Live demo: Real-world agent use cases
5. Q&A