Why are standard workflow engines poor matches for production AI agents?

Standard workflow engines are poor matches for production AI agents. Most are built for static scheduled data pipelines, CI/CD, or fixed core business processes, relying on rigid, scheduler-focused logic that cannot accommodate complex, probabilistic, non-deterministic agent execution or extended unplanned pauses, which are core to real-world AI agent workloads. As of the verification date, public documentation does not list full agent-specific tooling support; confirm with the vendor.