Multi-system AI Agents with Logic Apps: Business Central and beyond

Enterprise systems are increasingly fragmented - data and operations spread across ERP (Business Central), CRM, WMS and specialized applications. For this reason, modern AI agents transcend single-system boundaries.

This session explores building unified AI agents that intelligently orchestrate workflows across these disparate systems, creating seamless intelligent automation that understands your entire business ecosystem.

Using Azure Logic Apps Standard and the Model Context Protocol (MCP), you can create agents that span your enterprise architecture, making intelligent decisions by synthesizing data from multiple sources and executing coordinated actions across systems. Unlike traditional point-to-point integrations, agentic patterns enable autonomous loops where systems communicate through a shared intelligent layer.

You'll learn how to:

• Design agent loop patterns that coordinate actions across ERP, CRM, and other business applications
• Implement MCP connections to multiple enterprise systems, giving agents contextual access to critical business data
• Build agents that understand cross-system business logic and dependencies
• Create autonomous workflows that improve efficiency while maintaining governance across the enterprise

This session provides practical patterns for building enterprise-grade AI agents that orchestrate your complete business ecosystem.