Agent sprawl: How to manage agent proliferation in the enterprise

The growth of enterprise AI agent platforms has made it much easier for employees to build and deploy agents to support their own work.

But as agent creation becomes more decentralized, enterprises face a new management problem: how to keep track of what agents have been built across the organization. Without that visibility, teams can struggle to find and reuse existing agents, while access to enterprise data and systems can become harder to govern. When this proliferation of agents becomes too difficult to manage, it becomes agent sprawl.

In this article, we’ll explain why proliferation isn’t inherently bad, explore how enterprises tend to manage agent sprawl, and consider an alternative approach that allows variant agents to compete.

This kind of decentralized experimentation is valuable. First, those closest to a workflow are often best placed to determine how it could be streamlined by an agent. Second, when useful agents can be shared and reused, a solution initially developed for one team can be adopted by other teams facing a similar problem. So at an organizational level, proliferation can be a sign that employees are actively testing new ideas and discovering useful applications for agents.

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The same tools that create the potential for agent sprawl also make experimentation much easier. Employees no longer need to rely exclusively on a central AI or engineering team every time they identify a task that could benefit from an agent. Instead, they can build and test agents themselves, tailored to the specifics of the work they’re trying to augment.

This raises the question of whether having a growing number of agents always creates more overhead. After all, more agents don’t necessarily mean higher inference costs — an agent that isn’t being used doesn’t consume tokens simply because it exists. Instead, the management burden appears when the process for managing agents fails to keep pace with their growing numbers. That’s when agent proliferation is better described as agent sprawl.