Governance by Design: Architecting Agentic AI for Organizational Learning and Scalable Autonomy

Agentic AI systems - systems that can pursue goals through multi-step planning and tool-mediated action with limited direct supervision - are moving from experimental prototypes to enterprise deployments. This transition introduces tensions in implementation, scaling, and governance: organizations seek scalable autonomy for knowledge and coordination work, yet must preserve accountability, safety, cost control, and responsibility as systems initiate actions, access enterprise data, and evolve th

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ethics.ai (17 April 2026), “Governance by Design: Architecting Agentic AI for Organizational Learning and Scalable Autonomy,” evidence record 5736, https://ethics.ai/record/5736 (originally published by arXiv).

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