User Story
As a data steward,
I want AI agents to propose descriptions, tags, classifications, and related semantic enrichments through drafts,
so that AI can accelerate documentation without becoming the source of truth.
Business Value
AI can be useful for:
- description suggestions
- business-name suggestions
- glossary alignment
- tags/classification
- examples
- documentation enrichment
but every proposal should remain reviewable and governed.
Scope
Expose agent-safe semantic proposal operations over M4 drafts.
Tasks
- Add semantic proposal API.
- Require draft context.
- Record proposing actor.
- Track proposed before/after values.
- Analyze proposal through GovernanceDecision.
- Support human review.
- Add tests.
Acceptance Criteria
- Agent-generated enrichment is stored only in draft/proposal state until approved.
- Existing approved semantics remain untouched.
- Agent identity/source is retained.
- Proposal can be reviewed like human-generated changes.
- Rejected proposals do not alter canonical state.
Dependencies
M4
M5 review workflow
US-M7-009
Out of Scope
- automatically accepting LLM output
- generating technical schema
- autonomous publishing
User Story
As a data steward,
I want AI agents to propose descriptions, tags, classifications, and related semantic enrichments through drafts,
so that AI can accelerate documentation without becoming the source of truth.
Business Value
AI can be useful for:
but every proposal should remain reviewable and governed.
Scope
Expose agent-safe semantic proposal operations over M4 drafts.
Tasks
Acceptance Criteria
Dependencies
M4
M5 review workflow
US-M7-009
Out of Scope