Build a Stronger Context Foundation
for Reliable AI Agents

Access the Gartner® Report: The 3 Core Components of the Context Layer for AI Agents

AI agents need more than access to data. To produce reliable and contextually relevant results, they need the business meaning, current operational conditions, and provenance surrounding that data.

A context layer can help AI agents understand what enterprise data means, whether it reflects current operational conditions, and where it originated.

In this complimentary report, you will learn:

• The role of semantics, operational state, and provenance as the three core components of a context layer for AI agents
• An approach for retrieving, organizing, and selecting the context supplied to AI agents
• How the operational state can help ground AI agents in current business conditions
• How a robust context layer can support more reliable, relevant, and cost-efficient AI decision-making.

Denodo operationalizes the data foundation that agentic AI requires, unifying distributed data with real-time access, semantic consistency, and governance enforced at runtime.

Gartner Strategic Planning Assumption: By 2027, organizations that prioritize semantics in AI-ready data will increase their agentic AI accuracy by up to 80% and reduce costs by up to 60%.

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