As AI agents proliferate across enterprise environments, many organizations are losing visibility into what agents exist, who owns them, what data they access, and what they cost. This article argues that agent sprawl is fundamentally an infrastructure and governance problem rather than a model problem. It proposes an "agent control plane" built around identity, cost attribution, auditability, versioning, and model neutrality as the foundation for operating large-scale agent fleets safely.