> For the complete documentation index, see [llms.txt](https://alhena.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://alhena.gitbook.io/docs/dashboard/conversations/quality-assurance.md).

# Quality Assurance

Alhena's Quality Assurance tools help you monitor and improve your AI agent's performance by identifying conversations that need review.

## Overview

Quality Assurance features allow you to:

* **Monitor AI Performance**: Track how well your AI handles customer conversations
* **Identify Issues**: Automatically flag conversations that may need human review
* **Improve Responses**: Use insights to refine your AI's training and guidelines

## Features

### Smart Flagging

Smart Flagging automatically identifies conversations that may have issues, such as:

* Unsatisfied customers
* Unanswered questions
* Potential escalation needs
* Response quality concerns

This helps your team focus review efforts on the conversations that matter most.

## Getting Started

Access Quality Assurance settings in the Alhena dashboard to configure flagging rules and review workflows.