Putting Aisey to Work: AI Built for MDM, Already in Your Profisee Environment
- Oct 20, 2026
- 9:00 AM BST
- Online
Eric Melcher
Chief Technology Officer
Greg Jones
Chief Product Officer
AI BUILT FOR MDM IS ALREADY IN YOUR ENVIRONMENT.
HERE'S WHAT IT CAN DO.
One of the most common questions we hear from customers is what its AI can actually do for them today. The answer is that AI built specifically for MDM is already in your environment, ready to take manual work off your plate, with full oversight and governance built in.
In this session, Profisee CPO Greg Jones will walk through the AI capabilities built into the platform over the last several releases and show how your team can put them to use right now. From Aisey, the always-on assistant embedded across Profisee, to autonomous agents that handle repetitive stewardship and an MCP Server that delivers trusted data into the tools your teams already use, you will see practical AI working in a real MDM environment.
If data quality and stewardship are manual efforts, your team feels it every day. The hours it takes and the backlog that never quite clears. This session shows you how Aisey can help you be more efficient in learning, building, and managing your Profisee MDM environment. You stay in control the whole way: every suggestion is explainable, every action is reviewable, and every change is governed natively in Profisee.
What to Expect:
Agents that work while you don’t: Aisey Agents run autonomously to propose matches, enforce survivorship, flag data quality violations, and fill in missing attributes, all based on the conditions you set and with full audit trails.
Answers and action in plain language: Aisey is embedded across the platform, so you can ask a question, build an entity model, create a data quality rule, map attributes, or launch an import in plain language without writing a single line of code.
Trusted master data where your teams already work: The Profisee MCP Server and Copilot integration bring governed master data into the everyday tools your teams already use, accessible through natural language and with no platform switching required.