Atlan in Action⚡️

Don't start on a blank page: The knowledge AI needs already exists in your stack. Watch Atlan identify the assets that matter most using popularity, lineage, and usage signals across hundreds of thousands of assets. AI agents enrich automatically: generating descriptions, linking business terms, applying context at scale. Every asset is understood before AI touches it.

Bootstrap context. Test it. Ship what's correct: Type what you want to analyze. Watch Atlan find the relevant tables, generate a semantic model from your SQL history and BI dashboards, and run evals — auto-generated from your actual queries and reports. See a failing query traced to the exact missing context. Watch the model tighten with AI finding the gaps and humans verifying what ships.

Same question. Same answer. Every agent: Ask a business question live. Watch it route to the right semantic model, generate SQL, and return a traceable answer. Then see Observability: every interaction tracked, every failure flagged, every correction tightening the context layer. One Context Repo, shared across every agent in your stack via MCP and native integrations.

Cold Start — cracked open: Critical business logic already exists. It's in your SQL history, dashboards, and pipeline code. It's just not in a form AI can use. Atlan identifies the assets that actually matter across hundreds of thousands, then runs description, term linkage, and quality agents in parallel. Domain experts review and confirm.

Testing Hell — traced and close: Teams lack a repeatable way to run simulations across test questions. Validation relies on spot checks and intuition. Watch Atlan turn your existing dashboards into a full test suite, reverse-engineered from the questions your team actually asks. Every failure traced to the exact field, the exact missing definition, the exact fix. Human ON the loop: one approval, model tightens, test passes.

Scaling Trap — one repo, every agent: Each new use case introduces new context, definitions, and edge cases. Without a shared foundation, every agent handles them differently. Watch one Context Repo deploy to Cortex, Genie, Claude, and Agentspace simultaneously. A user flags something wrong: that correction becomes a new regression test and syncs to every agent automatically.