---
title: "Atlan AI - The Context Layer for Enterprise AI"
url: "https://atlan.com/ai/"
description: "Document 1000s of assets in seconds. Summarize complex SQL transformations in natural language. Get AI to draft all your policies. Welcome to a bold new world for data teams."
---

> Atlan is hosting Context Conference, bringing together the leaders and builders at the frontier of giving AI the context it needs to understand their business. It runs online on October 28, 2026, from 11:00 AM to 2:00 PM ET. Atlan co-founder Prukalpa Sankar opens and closes the day. Leaders from AstraZeneca, BNY and Verizon share why they invest in context and what they get from it. Registrants get early access to The AI Context Gap, a new study from MIT Technology Review Insights. Register: https://atlan.com/context-conference/

**Atlan AI: the first ever copilot for data teams.** The page introduces Atlan AI for data analysts, data stewards, and business users: AI-drafted documentation, natural language lineage summaries, SQL generation, and policy drafting, available inside Atlan and in other tools through Atlan's Chrome extension.

[Book a Demo](https://atlan.com/forms/talk-to-sales-contact/)

## Meet the copilot for every human of data

**Data Analyst**
- Natural Language Lineage Summaries: save time by asking Atlan AI to simplify complex SQL transformations into natural language.
- Auto Generate SQL: focus on asking the right questions, let Atlan AI handle the SQL queries.
- Auto Document: create descriptions and READMEs for business terms and BI dashboards in seconds.

**Data Steward**
- Auto Document: ask Atlan AI to draft documentation for business terms and data assets to enable self-service.
- Document at Scale: breeze through your backlog of undocumented data assets by pairing Atlan AI with Playbooks.
- Auto Draft Policies: prompt, polish, publish. Write policies and connect them to data in minutes.

**Business User**
- Auto Document Glossaries: help SMEs enrich business definitions and metrics with AI-drafted descriptions.
- Natural Language Lineage Summaries: summarize complex lineage transformations in natural language to help business users understand data flow.
- Business-Friendly Aliases: Atlan AI suggests aliases for intuitive search and filtering, so business users don't have to remember technical jargon.

## Starting today, everybody loves documentation

Atlan AI removes the pain of painstakingly writing documentation, finding data assets with missing documentation, and suffering through the backlog of undocumented assets with missing tribal knowledge.

- **No more manual documentation.** By analyzing the name, schema, and lineage of your data asset, Atlan AI creates a first draft of descriptions and READMEs with a 70% acceptance rate. All you have to do is review, edit, and publish.
- **Ensure business definitions are documented.** Align everyone in your organization by ensuring every business metric and KPI has auto-generated documentation, reviewed and edited for business context by data stewards.

## Atlan AI follows you everywhere

With Atlan's Chrome extension, Atlan AI is embedded into every tool you love to use. Ask Atlan AI to write a description for a model you're looking at in dbt, or create aliases for business-critical dashboards in BI tools.

Tools shown: Snowflake, dbt, Fivetran, Looker, Tableau, Amazon Aurora, AWS Glue, Amazon Redshift, BigQuery, Git, Jira, Metabase, Postgres.

## Frequently asked questions

**What data does Atlan use to power Atlan AI?**
Atlan only uses basic asset metadata, like asset name, table schema, and SQL query context (like lineage and usage metadata) to power Atlan AI. We do not use underlying customer data to power our AI use cases.

**Does Atlan train models with customer metadata or data?**
No, we do not train or fine-tune our models using customer metadata or data. Our focus is on providing customers with AI-powered solutions that help you work more efficiently and effectively.