Infrastructure
Approval Boundaries for AI-Generated Change Plans
A practical pattern for using AI in change planning without allowing model output to become unreviewed execution intent.
AI can help draft change plans, but it should not silently become the system of record for execution intent.
Use case: infrastructure change planning
A model can be useful for assembling prerequisites, rollback structure, reviewer reminders, and execution sequencing from bounded inputs.
A safe execution boundary
A practical model is:
- source material collected
- draft plan generated
- reviewer validates the technical steps
- approver accepts or rejects
- execution begins only after approval
Practical conclusion
The real design challenge is not generating a plan. It is enforcing the boundary between draft assistance and approved operational intent.