Agentic AI Is All About the Context — Engineering, that Is

Why It Matters

By simplifying the delivery of relevant, private data to AI agents, Elastic’s solution accelerates reliable enterprise AI deployments, boosting productivity and giving the company a strategic foothold in the fast‑growing market for context‑aware AI agents.

Summary

Elastic unveiled Agent Builder, a new feature that streamlines context engineering for agentic AI by letting users connect private data indexed in Elasticsearch to large language models via the Model Context Protocol. The tool consolidates data retrieval, governance, and workflow orchestration, enabling developers to build, configure, and monitor AI agents that can act on enterprise information. Analysts predict rapid adoption, with Deloitte forecasting over 60% of large enterprises deploying agentic AI at scale by 2026 and Gartner expecting 40% of enterprise applications to embed task‑specific agents by year‑end. Agent Builder is currently available as a tech preview through Elastic Cloud trials.