Zapier explains how to add human reviews to AI workflows
By Automate Basics, written with AI from Zapier's original
Zapier says teams can pause AI workflows for a person to approve an action, edit an output or supply missing information. Its guidance focuses on decisions that need judgment before automation continues.
What changed
Zapier has set out how its existing human review features fit into AI workflows. Zapier says a Request approval step can pause a Zap until a reviewer approves or declines an action. Reviewers can also edit an output before approving it, such as an AI-written email draft. A rejection can stop the workflow or send it down a path the builder has defined.
Zapier says an AI by Zapier step has an option to require approval before it runs. The option is off by default and, when enabled, sends an email request each time the workflow reaches that step. For decisions needing more than a yes or no, Zapier describes a Collect Data action that gathers information from a reviewer before automation continues. Zap history records workflow pauses, while an audit log records reviewers’ responses.
Who can use Zapier's review checkpoints?
Zapier presents review checkpoints as an option for people building automated workflows and AI agents, particularly when a mistake could affect a customer, change important records or require specialist judgment. A team handling incoming requests, for example, could send unclear cases to a person rather than have an AI system guess what the customer needs.
Zapier says human review can be added to any workflow, but the article does not identify which subscription plans include each feature or state what they cost. It also does not specify whether the approval option in AI by Zapier has different availability from the Request approval step or Collect Data action. Teams considering a rollout would need to confirm those details for their accounts.
How do I try human review in an AI workflow?
Start with an automated task where a wrong decision would be difficult to undo, such as changing an existing customer record or sending a customer-facing message. Zapier describes using its Request approval step to hold a workflow for a reviewer, or requiring approval before an AI by Zapier step runs. For a case that needs clarification rather than permission, its Collect Data action can ask a reviewer for information.
Before relying on the workflow, check what the reviewer receives, whether they can see enough context to make a decision and what happens after approval or rejection. Inspect the resulting record or message for factual errors and inappropriate changes. Zapier says workflow history and audit records can help teams see what happened, but a recorded approval is not a substitute for checking the outcome.
Frequently asked questions
Can a reviewer change an AI-generated result before approving it?
Yes. Zapier says reviewers can be allowed to edit a Zap’s output before submitting approval. That could help with a draft message that needs correction, while keeping a person responsible for checking the final wording before the workflow proceeds.
Does every Zapier AI workflow need to pause for approval?
No. Zapier recommends placing human checkpoints where uncertainty, sensitive actions or judgment make them useful. It also describes audit logging for workflows that need a record of actions without stopping for a decision each time.
Does Zapier say how much human review features cost?
No. Zapier describes approval steps, a data collection action and an approval option for AI by Zapier, but its article does not give prices or identify the plans that include them. Check account availability before designing a workflow around a particular option.
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Written with AI from Zapier's original and published after automatic checks: every figure here appears in the original, and no sentence is copied from it. The picture is AI-generated. The original is the authority.
Source: Human-in-the-loop in AI workflows: HITL meaning, benefits, and practical patterns, Zapier, 14 Oct 2026.