The 3 Core Components of the Context Layer for AI Agents - Gartner® research*
Get complimentary access to Gartner® research, The 3 Core Components of the Context Layer for AI Agents, and learn why semantics, operational state and provenance are becoming essential to reliable agentic AI.
- As organizations are trying to deploy autonomous agents, context has gained popularity as the missing piece
- According to Gartner, only around one in five organizations report that GenAI tools provide significant value to their organization due to factors including limited impact and hallucinations.
- These issues usually stem from weak data and governance foundations.
- Quantexa helps organizations build a trusted data foundation for AI with real-world context, unifying data from disparate sources, creating an accurate single view and identifying hidden networks and relationships.
- We’re bringing you a complimentary copy of Gartner research where you can find out what constitutes a context layer, how it can help you scale and get value from AI, and how a practical use case approach will enable you to get results earlier on.
Why read this report
Learn why a context layer can help AI agents retrieve, organize and select the knowledge they need for specific tasks.
Move beyond noisy, fragmented data
Explore how poor context filtering can lead to unreliable agent behavior and higher costs when LLMs process poorly prioritized information.
Prioritize the right architectural components
See why semantics, operational state and provenance form the foundation of a robust context layer for agentic AI.
Start with practical use cases
Gartner cautions organizations not to build a comprehensive context layer all at once, but to begin with high-value use cases and expand based on proven outcomes.
Connect context to measurable outcomes
The report outlines success measures such as LLM cost savings, positive business outcomes, policy compliance, precision and recall.
Context makes AI decisions stronger
AI agents need more than access to data. They need the right data, in the right context, with the right controls.
Quantexa helps organizations connect siloed systems, understand complex relationships and create a trusted, reusable view of data across the enterprise. That context helps teams make decisions with greater confidence, whether they are protecting, optimizing or growing the business.
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*Gartner, The 3 Core Components of the Context Layer for AI Agents, Andrés García-Rodeja, Michael Gonzales, Christopher Long, Afraz Jaffri, 11 March 2026.
