AI agent management roles are multiplying at mid-to-large companies, but the tools to run them don't exist yet — creating a gap between deployment and operations

Job titles like 'VP of AI' and 'Director of Agentic Systems' are appearing now at mid-to-large organizations, but the actual work these people do is undefined because companies lack frameworks for governing, maintaining, and operating AI agents (software that makes decisions and takes actions on its own) after they launch.

The role is fragmenting into five separate functions — deciding which business processes should use agents, setting rules for what they're allowed to do, keeping agent instructions versioned and auditable across multiple deployments, measuring whether agents perform correctly, and managing the tradeoff between automation speed and human oversight. No single tool handles all five today.

For business leaders and managers: your organization may hire AI operations roles in 2026, but you'll need to invest in custom tooling or wait for vendor solutions to catch up. This means AI agent projects will stall at deployment rather than scaling smoothly — the bottleneck is operational governance, not building the agents themselves.