AI Agents in the Enterprise: Why More Is Not Always Better

Enterprises rapidly rolled out AI agents across functions, but many are now dealing with duplicated work, conflicting outputs, and higher oversight costs.

The rise of “agent sprawl” is turning AI deployment into a management and governance challenge, not just a productivity boost.

Security exposure is also growing as more autonomous agents expand the attack surface and complicate compliance.

Vendors are responding with meta-agents and orchestration tools designed to coordinate, monitor, and control agent fleets.