# Agent Reply Quality report

The **Agent Reply Quality** report is AI review for your team's own replies: every outgoing reply is scored, and anything risky is flagged — so you can coach with real examples instead of spot-checking chats by hand.

Open **Reports → Agent Reply Quality**. Scores appear around 30 minutes after your team replies to a conversation.

![Agent Reply Quality report](../../.gitbook/assets/guides/agent-reply-quality.jpg)

## What you see

* **Average reply score** — overall quality from 1 (Poor) to 5 (Excellent), with a per-agent breakdown.
* **Conversations scored** and **coverage** — how much of your traffic has been reviewed.
* **Flagged conversations** — replies the monitor marked **Critical** or **High**, worth a look first.
* **Score distribution** — how your conversations spread across the five scores.
* **Scored conversations** — the full list, filterable by agent, inbox, team, and score, with a summary for each. Click through to read the conversation itself.

Use **Download report** to export the data.

## Tuning what gets flagged

The monitor's detection categories and scoring guidance are editable under **Flow Agents → AI Monitoring**: reword or switch off built-in categories, add your own business-specific rules, and mark findings as incorrect so the monitor learns to skip replies like them.

This report is included on higher plans.

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Source: https://help.mampuai.com/mampu-ai/reports/agent-reply-quality
