Atlan AI
Some capabilities shown here may require additional enablement or licensing. Contact your Atlan representative for details.
Atlan AI is the intelligence layer of the Enterprise Context Layer. Your AI agents are only as good as the context they run on—and Atlan's job is to build, maintain, and activate that context at scale.
Atlan AI works in two directions. On the enrichment side, Context Agents read evidence from your Enterprise Data Graph (lineage, SQL patterns, usage signals, business definitions) and generate structured context: descriptions, term linkages, glossary overviews, completeness diagnostics, and data quality rules. On the activation side, the Remote MCP server exposes that enriched context to any downstream AI tool—Claude, ChatGPT, Cursor, Gemini, Codex, Snowflake Cortex, n8n, and more.
Atlan AI runs on a multi-model architecture routed through a centralized AI gateway supporting multiple LLM providers.
Atlan doesn't send any data to the AI service and only uses metadata for supported capabilities. For questions about data security, see Atlan AI security.
Enable Atlan AI
Only admin users in Atlan can enable Atlan AI for their organization. Once enabled, each user's existing permissions and access policies in Atlan determine how they can use Atlan AI. For example, a user must have the permission to edit metadata to use Atlan AI for updating asset descriptions.
To enable Atlan AI for your Atlan users:
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In your Atlan workspace, click Settings from the left menu.
- If you are using the Old UI (Classic), from the left menu, click Admin.
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Click Labs.
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On the Labs page, under the Atlan AI heading:
- Turn on Enrich metadata to enable your users to use Atlan AI for documenting assets, explaining lineage transformations, and generating aliases.
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(Optional) For Customize Atlan AI, click the Add instructions button to make Atlan AI suggestions more relevant to your organization. In the Enhance suggestions dialog, for General instructions, describe your organization and add details about your product, mission, and more, and then click Save.
You have now unleashed the power of Atlan AI for your users! 🎉
If you'd like to disable Atlan AI from your organization's Atlan workspace, follow the same steps to turn it off.
If Atlan AI is disabled, the feature is no longer available in your workspace. However, any descriptions previously generated by Atlan AI and added to your assets or saved SQL queries are still available.
Current capabilities
Atlan AI builds context from evidence in your Enterprise Data Graph and makes it available to any downstream AI tool. Enrichment capabilities include AI-generated descriptions, lineage transformation explanations, glossary intelligence (AI-generated overviews, completeness diagnostics, contextual gap-fixing), and data quality rules. Activation capabilities include the Remote MCP server that makes all of this callable by Claude, ChatGPT, Cursor, Gemini, Codex, Snowflake Cortex, and any other MCP-aware agent or automation framework.
Use Atlan AI to document assets
Atlan AI puts you in control of your data estate in Atlan, helping you curate meaningful context for your data assets. Accept, reject, or edit any AI-powered suggestions, the choice is yours.
You can use Atlan AI to:
- Document tables and views with AI-generated descriptions
- Document columns with AI-generated descriptions
- Document terms and categories with AI-generated descriptions
- Document terms with AI-generated READMEs
- Add an Atlan AI-generated alias to supported assets
For full transparency, any changes made using Atlan AI are marked as Updated using Atlan AI in the activity log.
Use Atlan AI for glossary intelligence
Beyond authoring individual descriptions, Atlan AI acts as a completeness and comprehension layer for your entire business glossary. Every glossary, category, and term carries an AI-generated overview. Editors see aggregate completeness diagnostics—missing descriptions, missing READMEs, draft-status terms—and can fix detected gaps with contextual AI assistance directly in place.
You can use Atlan AI to:
- View AI-generated overviews on glossaries, categories, and terms
- Identify AI-generated glossary content via the AI icon
- Get completeness diagnostics for editors
- Fix detected gaps with contextual AI assistance
- Explore your glossary with conversational search (Conversational AI Private Preview)
Use Atlan AI for lineage analysis
Atlan AI can help you understand lineage transformations using natural language. You can use Atlan AI to create a natural language explanation for assets with SQL attributes and help you better understand the transformation logic.
You can use Atlan AI to:
Use Atlan AI for data quality
Atlan AI can automatically suggest data quality rules based on your asset's metadata structure. This helps you establish quality checks quickly without manually creating each rule.
You can use Atlan AI to:
Activate context for AI agents
The context Atlan AI builds doesn't have to stay inside Atlan. The Remote MCP server exposes Atlan's Enterprise Data Graph as a callable resource for any MCP-aware AI agent or automation framework. Connect Claude, ChatGPT, Cursor, Gemini, Codex, Snowflake Cortex, n8n, or any agent you build—they can search assets, traverse lineage, read business definitions, apply tags, run data quality checks, and update metadata through the same tools Atlan uses internally.
You can use the Remote MCP server to: