Learn more about Ella's full set of AI agents
Using the Governance Agent
You can trigger the Governance Agent from the Catalog screen, and ask it a question like “Which tables in the marketing domain are missing ownership?”. It will analyze the asset’s metadata and context, validate it against both best practices and your custom policies, and generate a list of actionable suggestions. When you’re ready, the agent can open a pull request with the proposed metadata changes.Key Capabilities
Learns from Your Environment
The agent understands and scales your internal standards by analyzing:- Tag structures and naming conventions
- Ownership assignments
- Folder hierarchies and asset types
- Custom metadata fields already in use
Validates Governance Coverage
The agent identifies:- Missing or inconsistent documentation for tables, columns, and BI assets
- Unassigned or conflicting owners
- Gaps in classification, tags, or custom metadata
- Sensitive data fields that aren’t properly flagged or controlled
Metadata Enrichment
The agent suggests or autofills:- Table and column descriptions
- Tags and classifications
- Ownership fields
- Custom metadata based on known structures
Sensitive Data Enforcement
Sensitive fields are automatically detected and checked to ensure appropriate tagging is applied, and that there’s no propagation to unauthorized downstream assetsPull Request Automation
Once suggested changes are ready, the agent will open a pull request for you to review and apply.Who It’s For
Built for data platform teams, analytics engineers, and governance leads who want to increase metadata coverage, enforce governance policies, and ensure their data is ready for AI, without adding manual overhead.We take data privacy seriously. Read our AI Privacy Policy to understand how AI features are secured.