Incident Flight Recorder
Preserve a bounded before/during/after evidence window for qualifying incidents and investigations.
AmrudAi is designed to use AI as an assistance layer over authoritative monitoring, topology and incident evidence, not as a replacement for it.

Before asserting an operational condition, the evaluation path is designed to consider whether expected evidence is present, fresh, valid, time-aligned and produced by healthy collectors.
Preserve a bounded before/during/after evidence window for qualifying incidents and investigations.
Surface relevant historical incidents without silently copying an old root cause into the current event.
Answer “what changed?” across NCM, cloud, CI/CD, IaC, Kubernetes, database, maintenance and ITSM evidence.
Use bounded, authorized diagnostics when they add information while preserving each vantage independently.
Every claim should resolve back to authoritative artifacts the requesting user is allowed to see. When evidence is insufficient, the result should be INCONCLUSIVE and state what is missing.
Model output cannot create authority or directly access credentials.
Target constraints, parameter validation, concurrency limits, timeout and audit.
Recovery evidence and rollback/escalation are part of the controlled workflow.