# AI Interviewer

The **AI Interviewer** enables automated, human-in-the-loop validation of investigation findings by conducting intelligent interviews with users involved in an alert.

This capability helps confirm or refute AI-derived conclusions using direct human input, improving accuracy while reducing analyst workload.

<figure><img src="/files/FpSQiEuEMqv81iVbdRB6" alt=""><figcaption><p>The AI Interviewer Configuration Settings</p></figcaption></figure>

## How the AI Interviewer Works

1. **Initial Investigation Completion**\
   The AI completes an investigation and determines that human verification is required. This investigation will have an initial conclusion which can be used to create auto-approval rules for starting interviews. If a scenario does NOT cover auto approval then the interview will go into **pending** state until it is approved.
2. **Interview Proposal**\
   The system generates a proposed interview with targeted, context-aware questions.
3. **Auto-Approval Check**\
   Rules determine whether the interview is automatically approved or requires manual approval.
4. **Interview Execution**\
   The AI conducts the interview with the identified user using the configured communication channel.
5. **Result Integration**\
   Interview responses are incorporated directly into the investigation’s findings and final conclusion.

{% hint style="info" %}
Any changes to conclusion will be noted in the **change log** of the investigation and the entire will be available in the **investigations** detailed view for audit or review.
{% endhint %}


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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.dropzone.ai/platform/settings/ai-interviewer.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.