How does human oversight work when multiple agents are running at the same time?

Human oversight in multi-agent workflows is controlled through review steps that you place on the workflow canvas. A review step acts as a gate: all upstream agents must complete before the review step activates, and no downstream agents run until a human approves. You can assign specific team members to review steps, and the workflow tracks who approved what and when.

When agents run in parallel, the review step waits for all parallel branches to finish before presenting their combined outputs for review. If three research agents are gathering competitor data simultaneously, the review step collects all three outputs and lets you evaluate them together before the workflow proceeds to analysis. This pattern keeps parallel execution efficient while ensuring nothing moves forward without your sign-off.

You control where oversight happens by where you place review steps. High-stakes decisions (publishing content, sending outreach, updating a CRM) typically warrant a checkpoint. Intermediate steps (reformatting data, combining sources) often don't. A content pipeline might run research and drafting without interruption, then pause for review before optimization and publishing. The workflow adapts to your risk tolerance, and you can add or remove checkpoints as you gain confidence in specific agents.

The Workflow Steps panel in Workflow Execution shows status for every step, including who is assigned to pending reviews, how long each step took, and whether it succeeded or failed. You can navigate between steps to inspect outputs, and the system sends notifications when a review step needs attention. This visibility lets you monitor multiple parallel branches without manually tracking each one. The platform handles coordination so you can focus on the decisions that require human judgment.