# Webhook

## Purpose

Developers need to provide an API endpoint (like a URL) where the system can send data. When MaiAgent's AI assistant generates responses on the conversation platform, these responses will be automatically sent to your configured Webhook endpoint.

This setup allows you to integrate AI responses into your own system, such as logging them, forwarding them to users, or using them for other applications.

All Webhook transmission records are also centrally displayed on this page by the system, making it convenient for you to view, track, or troubleshoot issues at any time.

{% hint style="info" %}
[How to integrate API?](https://app.gitbook.com/s/38pkhhqHl1oA6yyE9R2n/api-integration)
{% endhint %}

<figure><img src="https://1360999650-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F6v6TNkkOQVfRYfcNirHL%2Fuploads%2Fgit-blob-6af87aae2a2684afa8092af5fc986ab0e1d16bb4%2F%E6%88%AA%E5%9C%96%202025-04-25%20%E4%B8%AD%E5%8D%8812.11.59.png?alt=media" alt=""><figcaption></figcaption></figure>

## Use Cases

### **Customer Service System Integration**

After the AI assistant answers user questions, the response content is synchronized to the enterprise's customer service system via Webhook, making it convenient for customer service personnel to view conversation records, perform follow-up processing, or take over manually.

### **Real-time Notification Push**

Push AI assistant responses or specific events (such as anomalies) to communication tools like Slack, Line Notify, or Email to remind relevant personnel to handle them promptly.

### **Data Analysis and Record Archiving**

Automatically send all AI conversation data to data warehouses, cloud databases, or Google Sheets for usage behavior analysis, quality assessment, or creating interaction record archives.

### **Internal Process Automation**

When users report issues, request resources, or report anomalies through the AI assistant, Webhook can automatically connect this data to internal form systems or task management tools (such as Jira, Notion) for subsequent tracking.