How master data management (MDM) boosts the context layer for AI agents
AI agents need an authoritative view of the customers, suppliers, and products they reason about. MDM establishes that view by resolving fragmented records into governed entities, giving agents a consistent understanding of who or what the data represents.
In this Gartner® report, explore where MDM fits in the context layer for AI agents and how governed master data can support AI as it moves into operational workflows.
Give AI a clear view of who and what it’s working with
As agents take on more business processes, identity and context matter more. A customer or supplier may appear differently across multiple systems, but those records can represent the same real-world entity. MDM establishes that identity before the data reaches AI, giving agents an authoritative representation to reason from.
Gartner examines how MDM provides that foundation and how mastered data can reach AI agents with the appropriate controls and context.
What you’ll learn
- The role of MDM in the context layer. See where master data fits as organizations build trusted context for AI agents.
- How mastered data reaches AI agents. Explore how MCP and scoped tools can provide controlled access to governed data.
- How the architecture comes together. Understand the Gartner approach to bringing master data and business context into agent workflows.
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Gartner, How Master Data Management Boosts the Context Layer for AI Agents, Stephen Kennedy, 17 June 2026.
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