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 through iterative updates. Building on an in-depth qualitative case of a large IT services company's 2025 development and staged rollout of an agentic system integrated with enterprise tools; we show...
| Authors | Nelly Dux, Cristina Alaimo, Philippe Roussiere et al. |
|---|---|
| Primary category | cs.CY |
| Published | 17 April 2026 |
| Last updated at source | 17 April 2026 |
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