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A review task is created when a pipeline’s review action node fires, pausing the run and requesting human review of the extracted data before continuing.

When reviews are triggered

Review tasks are created based on the trigger mode configured on the review action node:
Trigger modeBehavior
AlwaysEvery run that reaches the review node creates a review task
Low confidenceA review task is created only when the AI extraction confidence is below the configured threshold

Review task lifecycle

StatusDescription
PendingTask is waiting in the review queue for someone to claim it
In reviewA reviewer has claimed the task and is reviewing the data
Approved - Pending ResumeReviewer approved the data, waiting for the pipeline to resume
Rejected - Pending ResumeReviewer rejected the data, waiting for the pipeline to process the rejection
ApprovedReview complete. The run resumed with the approved data
RejectedReview complete. The run was marked as failed
The “Pending Resume” statuses are brief transitional states. You may see them in the UI between the reviewer’s decision and the pipeline resuming.

Review workflow

  1. A run reaches a review action node and creates a review task
  2. The run pauses with status Review
  3. A reviewer claims the task from the review queue
  4. The reviewer inspects the extracted data, makes corrections if needed
  5. The reviewer either approves (run resumes) or rejects (run fails)

Claiming tasks

Only one reviewer can work on a task at a time. When you claim a task, it is locked to you. If you need to release it, you can unclaim the task to return it to the queue.

Approving and rejecting

When approving a task, you can edit the extracted data before submitting. The corrected data is passed to the next step in the pipeline. When rejecting a task, you can add notes explaining why the data was rejected. The run is marked as failed.

Managing reviews

You manage review tasks from the Reviews page. The review queue shows all pending and in-progress tasks across your organization.