Risk Architecture for AI-Native Engineering Teams: An Organizational Framework for Agentic System Governance

Engineering management research has produced mature frameworks for software risk: ownership by feature, escalation by severity, and assurance by test coverage. These frameworks implicitly assume deterministic behavior, discrete and auditable change events, and clear component-to-owner mappings. Teams that build and operate agentic AI systems violate all three assumptions at once: outputs are probabilistic, systems take autonomous multi-step actions, and the risk surface mutates silently between

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ethics.ai (1 July 2026), “Risk Architecture for AI-Native Engineering Teams: An Organizational Framework for Agentic System Governance,” evidence record 341, https://ethics.ai/record/341 (originally published by arXiv).

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