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Zapier explains how to add human approval steps to AI workflows

A Zapier guide covers when AI agents should pause for a human and which Zapier steps add approvals, data collection and audit logs.

Announced by ZapierPublished Checked

Summary

Zapier's guide defines human-in-the-loop (HITL) as adding human checkpoints to agentic AI workflows. It lists situations where an agent should pause, such as low confidence or sensitive actions, and five patterns: approval flows, confidence-based routing, escalation paths, feedback loops and audit logging. It also points to the Zapier steps that support them.

What changed

  • HITL means adding approval, rejection or feedback checkpoints before an AI workflow continues.
  • Zapier has a Request approval step; reviewers can edit the output before approving.
  • AI by Zapier steps have a Require approval before running option, off by default.
  • A Collect Data action gathers specific input from a reviewer, not just a yes or no.
  • Zapier's audit log records each reviewer's approval, decline or data submission.

Availability

Available now

“On Zapier, you can add human-in-the-loop checkpoints to any workflow, requesting approval or collecting more data before continuing an automation.”

Founder takeaway

If you run AI agents that update records, send emails or issue refunds, pick the riskiest steps and add an approval checkpoint there first. Loosen it later if the agent proves reliable.

Sources

  1. Zapier — Human-in-the-loop in AI workflows: Meaning and patternsPublished · Checked

Researched and drafted with AI from the official sources above, then checked automatically before publishing. Spotted a mistake? Tell us.

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