Volume 10 — Operations, Governance, and Lifecycle Management
How AI systems are maintained as living infrastructure rather than one-time builds.
Reports
AI-ENG-AC — AI Operations: Incident Response, Rollback & Runbook Design
Covers AI-specific incidents, severity levels, triage, rollback, feature flags, kill switches, prompt hotfixes, corpus rollback, model rollback, user communication, incident review, and operational playbooks for failures that are semantic rather than merely technical.
AI-ENG-AD — Governance Architecture: Policy, Audit, Compliance & Accountability
Covers lightweight AI governance, internal policy, audit trails, risk classification, procurement review, data handling, access control, approval workflows, documentation, accountability boundaries, and governance that engineers and users can actually follow.
AI-ENG-AE — Sustainable AI: Energy, Infrastructure Efficiency & Lifecycle Impact
Covers energy-aware deployment, model sizing, hardware utilization, carbon-aware scheduling, efficient inference, lifecycle infrastructure costs, local vs. cloud tradeoffs, and sustainability as an architectural constraint rather than a branding slogan.