The rise and risks of agent management platforms

""It works until it doesn't, and when it stops working, you have no audit trail, no version control, and no governance to fall back on," noted Shelly Palmer, professor at Syracuse University and CEO of The Palmer Group."

""The key to success is to treat agents as infrastructure rather than features," said Diptamay Sanyal, principal engineer at CrowdStrike."

""The problem is you end up with dozens of agents with no shared context model, no consistent governance, and no reusable patterns," Sanyal said."

Enterprises currently have 28.6 million active AI agents, projected to exceed 2.2 billion by 2030. Agent management systems are emerging to address the challenges of agent sprawl. These platforms function like digital HR departments for AI agents, ensuring governance and version control. Without management frameworks, agents operate like shadow IT, leading to potential failures. Solutions from major vendors are essential for orchestrating systems and automating multi-agent tasks. Treating agents as infrastructure is crucial for successful management and future automation.

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