# How to Back-up Chats to Teams Channel ### Step-by-Step Guide {% embed url="" %} #### *Complete the following 3 steps to back-up your conversation into teams Channel*
#### Step 1: Create a Channel for Message Backup 1. Inside Microsoft Teams, open the **Mercuri** app (this will launch the Mercuri dashboard inside Teams). 2. In the **Mercuri CX dashboard**, navigate to the left panel and go to:\ `Settings` → `Microsoft` 3. Under **Microsoft Teams Setup**, click **"Create Channel for Message Backup"** 4. Enter a channel name (e.g., `mercuri-message-backup`) and click **"Create Channel".** 5. Once created, you can find this channel under `Teams Chat` > `Teams and Channels`.
*** #### Step 2: Add Mercuri Bot to channel 1. After creating the channel, click on the **“Add Bot”** button. 2. This step will connect the `mercuri-backup-bot` to your newly created Teams channel. 3. Once the bot is active, it will start backing up all incoming messages automatically. *** #### Step 3: Send a Test Message 1. Click on **Send Text Message.** You will be directed to the **Conversations inbox** in your Mercuri dashboard. 2. Send a test message like:\ \&#xNAN;**“This is a test message for the Mercuri backup channel.”** 3. Switch back to Microsoft Teams and open the backup channel under **Chat**. 4. If you see the test message appear, it means your setup is working perfectly! *** > **⚠️Please note:** Only **admins** will have access to view the backed-up chats in Microsoft Teams. This ensures customer data privacy and restricts sensitive information to authorized personnel only. --- # 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.mercuri.cx/integrations-guide/microsoft-teams/data-protection-and-permissions-in-mercuri-cx-for-microsoft-teams/how-to-back-up-chats-to-teams-channel.md?ask= ``` 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.