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The article discusses the problem of agent sprawl in teams using multiple AI agents with overlapping permissions and workflows. It proposes a basic control layer with owner, read/write systems, budget, stop rule, and four agent classes: readers, routers, operators, spenders.
The article highlights the emerging issue of 'agent sprawl' in B2B organizations, where AI agents are built ad hoc by citizen developers without centralized governance, leading to security risks and inefficiencies. It proposes a unified platform for managing agents at scale.