# Forward Request

Escalation ensures your customers always receive the right level of support, even when the AI cannot fully resolve a request. When a visitor asks for human assistance or the AI detects a complex issue, the conversation is forwarded to your support team. This prevents frustration, improves customer experience, and allows you to automatically create support tickets in platforms like Zendesk for proper tracking and follow up.

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**To configure this feature:**

1. Go to your **Zipchat Dashboard** and navigate to **AI Training**.
2. Open the **Prompt and Tools** sub-tab, scroll down to the **Tools** section, and activate **Escalate Conversations**.
3. Once activated, choose how you want to receive escalation notifications:
   * **In-app only**: You will see escalated conversations inside the **Conversations** tab, marked with a red diamond and red exclamation point.
   * **In-app + Email notifications**: Toggle this option on and specify the email address where escalated conversations should be sent.
4. If you are using Zendesk, enter the same email address connected to your Zendesk account. Escalated chats will then be forwarded to that inbox and appear as regular tickets inside Zendesk.
5. Use the **Additional Instructions** section to define special escalation behavior. For example, you can instruct the AI to escalate conversations when certain topics are mentioned, or to avoid answering specific subjects and instead forward those chats directly to human support.
6. Save your configuration and test the flow to ensure escalations are delivered through your selected notification method.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.zipchat.ai/installation-and-setup/ai-training/prompt-and-tools/forward-request.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
