Conversational AI Private Preview
Conversational AI in Atlan enables users to ask natural-language questions about their data, metadata, and business concepts directly from the product experience.
It uses context from your catalog, lineage, and glossary to provide guided answers, summaries, and impact analysis.
Conversational AI is designed to work safely within your existing governance model so that users only see permitted content.
Core use cases
Search and discovery
Explore verified tables, dashboards, and other assets using natural-language prompts instead of manual filters.
Context and impact
Understand upstream and downstream impact, how assets are used, and which teams rely on them without building custom reports.
Business concepts
Ask how key terms are defined, see how they appear across assets, and draft glossary-ready definitions.
In-context assistance
Use Ask AI Copilot from asset pages to get explanations and impact analysis that automatically include the asset’s context.
Get started
Follow this process to enable conversational AI and start using it across your organization.
Set up conversational AI
Enable conversational AI in Labs, configure behavior, and (optionally) enable MCP actions for advanced scenarios.
Use conversational AI
Ask questions from the chat panel or asset pages to explore data, understand impact, and work with business concepts.