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[Zendesk] How to set up automated AI image fraud detection & live verification ?

Written by Guillaume Chauviere
Updated over a week ago

AI-generated images are increasingly used in fraudulent claims, fake damage reports, and manipulated product submissions.

This guide explains how to set up a fully automated fraud detection workflow using Zendesk and SnapCall, enabling you to automatically detect suspicious images and trigger live verification when needed.

The goal: eliminate manual fraud triage and introduce real-time automated verification.

Step 1: Create a SnapCall Flow and Enable AI Content Detection

The first step in setting up automated image fraud detection is to configure a dedicated Flow inside SnapCall. This Flow will analyze each image and detect AI-generation patterns automatically.

How to Configure It ?

  1. Log into your SnapCall dashboard

  2. Create a new Flow (recommended name: AI Fraud Detection – Image Analysis)

  3. Enable the feature: AI Content Detection (see screenshot below)

  4. Save and publish the Flow

Once activated, this flow becomes your automated fraud detection engine. Each submitted picture is analyzed and assigned a risk score, and SnapCall automatically updates the Zendesk ticket with the following tag: snapcall_likely_ai (when applicable).

This enables automated fraud scoring directly within your support workflow, helping your team quickly identify potentially AI-generated or suspicious images without manual review.

Step 2: Configure Automatic Attachment Analysis in Zendesk

You will then need to configure Zendesk to automatically forward ticket attachments to SnapCall for real-time AI analysis. This ensures every image submitted by a customer is automatically screened for fraud risk β€” without requiring any manual action from your support team.

SnapCall provides a detailed setup guide here:

This article explains how to configure:

  • The Zendesk webhook

  • The trigger that sends attachments automatically

  • The JSON payload required for analysis

  • The optional Flow token for advanced AI processing

Step 3: Create a Zendesk Trigger Based on the AI Risk Tag

Once AI Content Detection is active and SnapCall is automatically tagging tickets (snapcall_likely_ai), the next step is to configure automated escalation inside Zendesk. This step ensures that high-risk cases trigger live verification automatically.

In Zendesk, from the Admin Center, go to Triggers and create a new Zendesk trigger with the following conditions and actions:

This means that when the tag snapcall_likely_ai is added to a ticket (indicating that at least one submitted media is suspected to be AI-generated), a trigger can send a notification to the customer requesting a new capture.

In this case, a SnapCall link can be automatically sent to the customer so they can submit new visual content, helping to ensure authenticity and improve verification reliability.

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