Agentic AI Governance Through Architecture: A Case Study

A recent paper on arXiv (2605.20210) investigates the deployment of agentic AI systems—those capable of planning and executing tasks with minimal oversight—within businesses, highlighting the conflict between scalability and accountability. Through a qualitative case study of a major IT services firm’s 2025 development and phased implementation of an agentic system integrated with enterprise tools, the authors contend that governance is shaped by specific architectural and operational frameworks. These frameworks dictate permissions, access to tools and data, memory management, and cycles for performance enhancement. The findings reveal that organizations aim for scalable autonomy in knowledge and coordination tasks while needing to maintain accountability, safety, cost management, and responsibility as systems perform actions, access enterprise data, and undergo iterative updates.