AI Automation Architecture & Reliability Audit

Role: AI Systems & Reliability Reviewer

Created a repeatable architecture and reliability audit process for AI-assisted and multi-step backend workflows. The review examines workflow state, integration boundaries, retries, duplicate execution, idempotency, AI-vs-deterministic decisions, approval boundaries, model/API cost exposure, sensitive-data handling, and operational failure modes.

The deliverable turns those findings into ranked risks, practical remediation priorities, and a target architecture or redesign path. A sanitized sample report demonstrates the output format without exposing client or secret data.