Problem
AI can generate useful work, but organizations still need a clear validation path: who reviews, what gets accepted, what gets rejected and how decisions are recorded.
Workflow
- AI creates a draft.
- The draft enters a validation queue.
- A reviewer accepts, revises or rejects.
- Approved work moves into the production surface.
Architecture
The system should treat validation as a queue with state transitions, ownership and auditability. AI output is draft material until a human decision moves it forward.
Decisions
Reviewer decisions are product data, not logs. The organization should be able to explain why a generated artifact reached production.
Lessons
Automation creates leverage only when the accountability model is clear. Human validation is a workflow, not a safety disclaimer.