Enterprise AI's real risk isn't autonomous agents. It's the complexity between them.

The article argues that the biggest enterprise AI risk is not a single autonomous agent, but the complexity created when fleets of agents call APIs, applications, and each other. As these chains grow, teams lose visibility into which agents can access which systems, what actions they triggered, and where permissions have expanded beyond their intended scope.

Enterprise AI governance will need to move beyond one-time approvals and static checklists toward continuous mapping of agent-to-agent and agent-to-system interactions. The emerging challenge is operational observability: companies must understand decision chains in real time before agentic workflows can safely scale.