Approval Rules & Automation

Approval Rules help your team decide which review replies can run automatically and which ones should stop for human review first. If you need the broader product context first, start with our ai google review reply tool page.

Overview

Approval Rules are the control layer behind automated review replies. They let you define when a reply can be sent automatically and when a human should review the suggested response first.

This is important when your team wants speed without giving up quality control. Low-risk reviews can move through a lighter workflow, while complaints, legal issues, or sensitive customer situations can still be reviewed manually.

Before you start

Before you configure Approval Rules, make sure:

• your review reply workflow is already connected and active
• your team knows which review situations are safe to automate
• you have a clear owner for exceptions and sensitive cases

If you also use Tone & Language Settings, define those first so the replies follow the voice your team expects.

How it works

Localith supports automated review-reply workflows in two broad ways:

• a standard automation flow using predefined reply logic
• a more dynamic AI-driven workflow for personalized responses

Approval Rules sit between automation and live publishing. Instead of treating every review the same way, your team can use approval logic to decide which replies should publish automatically and which ones should wait.

Typical use cases include:

• allowing routine positive reviews to move faster
• routing negative or sensitive reviews to manual review
• keeping HQ or account owners in control of exceptions

Step-by-step

1. Open the review reply area in Localith.
2. Go to the automation or rules section.
3. Create a new automation or open an existing one.
4. Choose the target location set and the review conditions the rule should cover.
5. Decide whether the rule should use a standard response pattern or the AI Agent workflow.
6. Set the rule live only after you confirm which cases require human approval.
7. Review the results regularly and adjust the rule if it is too broad or too strict.

Tips and best practices

• Start with narrow, low-risk rules before you automate a large share of reviews.
• Keep complaints, refund requests, legal issues, and edge cases inside a human-reviewed workflow.
• Review automation performance regularly and refine the rules instead of setting them once and forgetting them.
• Pair Approval Rules with Reply Agent Setup and Team Collaboration so ownership is clear.

Limits or edge cases

• Overly broad rules can send replies into situations that still need human judgment.
• Teams with multiple brands or client accounts may need different rule logic per account.
• Approval Rules reduce manual work, but they do not replace brand and risk review entirely.

Common questions