AI OPS · GOVERNANCE
Why AI workflows need approval gates
Automatic generation is powerful, but unchecked automation can propagate errors faster than teams can detect them.
Fallbacks protect availability, not intent
Model retries and fallback providers keep pipelines alive, but they do not answer whether the generated plan is correct for business intent.
Approval gates reduce high-impact mistakes
A simple approval step between planning and execution catches mismatched assumptions early and keeps expensive errors out of production.
Auditable workflows improve trust
When a team can track who approved what and when, operations become easier to review, improve, and scale safely.
The practical baseline
- Structured outputs from planning agents
- Validation and deterministic fallback paths
- Explicit human approvals before execution