If an AI generates a process more quickly than a human, and the process can be run deterministically, and the outputs are testable, then the process can run without direct human supervision after initial testing - which is how most automated processes work.
The testing should happen anyway, so any speed increase in process generation is a productivity gain.
Human monitoring only matters if the AI is continually improvising new solutions to dynamic problems and the solutions are significantly wrong/unreliable.
Which is a management/analysis problem, and no different in principle to managing a team.
The key difference in practice is that you can hire and fire people on a team, you can intervene to change goals and culture, and you can rearrange roles.
With an agentic workflow you can change the prompts, use different models, and redesign the flow. But your choices are more constrained.