AI can suggest a remediation after correlating logs, alerts and system state. But a convincing explanation is not sufficient authority to change production.
Our reference architecture separates reasoning from execution. An agent formulates a proposal; platform policies and responsible people decide whether it is permitted.
The execution system performs only the approved, bounded operation. Independent evidence then verifies whether the outcome matches the expected state.
This separation creates a stronger foundation for auditable agentic operations than simply allowing a model to call administrative tools.
AI may propose; humans and policy authorize; evidence verifies.