Modern enterprise AI systems share a common architectural pattern: a statistical core wrapped in a deterministic envelope of guardrails, rules, and compliance checks. This series examines what happens to that architecture under pressure — when the operational environment changes, when the envelope becomes a liability rather than a safeguard, and when the system crosses from manageable complexity into emergent failure. Three published articles trace the arc from architecture to structural limits to failure dynamics. A fourth, on Adaptive Integrity, is forthcoming.
Written for enterprise architects, MLOps leads, AI governance practitioners, and risk specialists in regulated and mission-critical sectors
Document Status — Field Notes · Series: AI Operational Integrity Architecture, Paper 3 This is a field notes paper: a structured conceptual contribution grounded in direct practitioner observation, prior to …
Document Status — Field Notes · Series: AI Operational Integrity Architecture, Paper 2 This is a field notes paper: a structured conceptual contribution grounded in direct practitioner observation, prior to …
Document Status — Field Notes · Series: AI Operational Integrity Architecture, Paper 1 This is a field notes paper: a structured conceptual contribution grounded in direct practitioner observation, prior to …