Automate years of manual metadata curation with AI agents that enforce your standards,
with full transparency and control.

Every governance team has a metadata backlog they'll never clear manually.
Titles, descriptions, classifications, PII tags, steward assignments — the curation work is tedious, endless, and essential. Without it, AI initiatives stall on untrusted data and compliance teams scramble before every audit.
Curation Automation eliminates this backlog. Define what good metadata looks like using natural language standards, and purpose-built AI agents do the rest — enriching your catalog at a scale that would take a manual team years.

Automation at this scale only works if people trust it.
Alation Curation Automation generates metadata using catalog context, query patterns, and admin-provided instructions. Every suggestion is previewable before execution. Existing values are preserved by default. Start with full human review, then widen the aperture as trust builds.
This is automation designed for regulated environments where transparency is non-negotiable.

Incomplete metadata is a primary blocker for enterprise AI and the primary source of compliance risk. Curation Automation addresses both simultaneously.
AI initiatives get consistently complete, contextual, and trustworthy metadata to power initiatives.
Compliance teams get provable enforcement with full auditability — not a scramble before the next audit.
Governance teams shift from authoring metadata to validating outcomes, focused on what actually requires human judgment.

Every governance team has a metadata backlog they'll never clear manually.
Titles, descriptions, classifications, PII tags, steward assignments — the curation work is tedious, endless, and essential. Without it, AI initiatives stall on untrusted data and compliance teams scramble before every audit.
Curation Automation eliminates this backlog. Define what good metadata looks like using natural language standards, and purpose-built AI agents do the rest — enriching your catalog at a scale that would take a manual team years.
Automation at this scale only works if people trust it.
Alation Curation Automation generates metadata using catalog context, query patterns, and admin-provided instructions. Every suggestion is previewable before execution. Existing values are preserved by default. Start with full human review, then widen the aperture as trust builds.
This is automation designed for regulated environments where transparency is non-negotiable.
Incomplete metadata is a primary blocker for enterprise AI and the primary source of compliance risk. Curation Automation addresses both simultaneously.
AI initiatives get consistently complete, contextual, and trustworthy metadata to power initiatives.
Compliance teams get provable enforcement with full auditability — not a scramble before the next audit.
Governance teams shift from authoring metadata to validating outcomes, focused on what actually requires human judgment.



Admins define metadata requirements using natural language that reflects business and regulatory intent. Standards are declared once and enforced automatically.
Purpose-built agents generate metadata using catalog context, query patterns, and admin-provided instructions, with field-level guidance to ensure alignment with organizational standards.
Every change is previewable before execution, existing values are preserved by default, and all actions are fully auditable, ensuring automation earns trust in regulated environments.
Built-in compliance and fill-rate reporting replaces anecdotal governance metrics with provable outcomes tied to declared standards.
Make your data AI- and audit-ready with automated metadata curation. See Alation Curation Automation in action.
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