Presentation

The next evolution of enterprise AI isn't a better assistant—it's a network of specialized AI Agents working together to solve complex challenges across the mainframe. Rather than relying on a single AI to do everything, organizations are beginning to adopt purpose-built agents that excel at specific tasks and collaborate across development, operations, security, and infrastructure. This session explores the architectural foundations of Agentic AI, including how Model Context Protocol (MCP) enables shared context, how Agent Gateways coordinate trusted communication between agents, and why Human-in-the-Loop governance remains essential for enterprise adoption. We'll also examine emerging use cases, where developers are already building specialized agents to automate focused tasks, and how coordinated agent networks can help experienced teams accomplish more, preserve institutional knowledge, reduce repetitive work, and improve the efficiency of day-to-day mainframe operations.

What You'll Learn:

• Why no single AI Agent can solve every enterprise challenge
• How specialized agents collaborate through MCP and Agent Gateways
• What it takes to build trusted Human-in-the-Loop AI systems