Context Agents: How Atlan Bootstraps Descriptions, Readmes, and SQL Intelligence Across Your Entire Data Estate

Everyone wants documentation. No one writes it. The result: AI agents working on enterprise data face columns named PLN_id, README files that haven't been touched in two years, and zero signal on how the business actually queries the data.Atlan's Context Agents Studio closes the gap. Trigger enrichment on a curated collection like Popular SQL Assets, and the agents traverse your data map (schema, lineage, query history, business concepts) to generate readable descriptions on every column. READMEs auto-update from the live data layer, ending stale Confluence. And SQL Intelligence reverse-engineers every query your team has ever run into a usable eval set: the business questions actually being asked, the joins that worked, the filters that mattered, and the columns that travel together. Your historical SQL is the biggest IP your company already owns. Atlan turnsit into the context layer your AI agents need.