Live AI Workflows in Action

AI agents move fast, but their success depends on the quality of the data they use.

When an AI agent encounters inaccurate, incomplete, or poorly governed data, it won’t stop to question it. It will act with confidence, turning a data issue into a flawed analysis or decision.

To build AI workflows you can trust, your agents need access to data quality rules, governance policies, catalog definitions, and master data when they need them.

Join Precisely experts for a live demonstration of how Precisely MCP servers connect AI agents with data integrity capabilities in real time, before they act rather than after.

You will see:

• Why agentic AI raises the stakes for data quality and why checks must happen before an agent takes action
• How MCP servers give AI agents on-demand access to data quality, governance, catalog, and master data capabilities
• What a live remediation workflow looks like, from detecting and explaining an issue to fixing and certifying the data