Lightdash AI Agents

what it does

Ask data questions using shared definitions and return charts or reusable data apps.

good fit for

• Teams with a maintained semantic layer
• Governed analysis through chat, Slack or MCP

why consider it

• Queries grounded in project metrics
• Dashboards and agent integrations

main limitations

• Permissions and definitions determine useful answers
• Some editing and investigation features remain beta or flag-controlled

cost and access

• Paid Cloud/Enterprise options and a trial; confirm the current AI-Agent inclusion or add-on terms.

getting started

• Prepare one business domain and test known questions before allowing broader agent scope.