AI Agents in Action: Unleashing Data Impact + MCP

AI agents are moving fast. Most still operate without context.

Join us for a session that goes beyond demos to show what AI agents can do when they’re grounded in governed data and connected to live systems. François Dupont, Sales Engineering Manager at Strategy, will walk through a real-world scenario where an AI agent takes action across systems in real time, all within a single controlled interaction, and introduce the architecture behind it: Mosaic provides the semantic foundation that gives agents consistent business meaning, while MCP connects them securely to the tools and data they need.

What you'll learn: 

• How AI agents can move beyond generating answers to taking action across systems in real time
• Why agents without a semantic layer struggle with consistency, cost, and trust
• How MCP connects agents to enterprise systems with governance and control
• How Mosaic delivers the same trusted answer across every model and use case
• How to connect agents to your existing stack with no migration, no lock-in, and significant efficiency gains

What we'll cover: 

• Beyond answers to action: a real-world scenario where an AI agent coordinates across systems and triggers outcomes in real time
• The context gap: why agents without a semantic layer struggle with consistency, cost, and trust
• Introducing MCP: how agents connect to enterprise systems with governance and control
• Consistency by design: how Mosaic delivers the same trusted answer across models and use cases
• The path to deployment: connecting to your existing stack with no migration, no lock-in, and significant efficiency gains

If you’re exploring how to move from AI experimentation to reliable, enterprise-grade impact, this session will show you what’s now possible.