# Manage your WhatsApp messages with Fullwhere

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Do you use WhatsApp to communicate with your customers? Fullwhere will save you valuable time in managing messages **WhatsApp, which** can be a real **challenge** for you and your teams.

Fullwhere allows you to efficiently manage your WhatsApp interactions: each message becomes easier to handle and quicker to qualify.

Set up a knowledge base and a Fullwhere AI agent to automate frequent replies while keeping control of high-value exchanges.

Workflows help you route, prioritize, and track conversations more accurately.
{% endhint %}

This article shows you, step by step, how to put in place a **effective strategy** for managing your messages on WhatsApp with Fullwhere.

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{% step %}

## Connect your accounts

The first step is to connect your WhatsApp account to Fullwhere. This takes less than 2 minutes.\
Go to our [complete guide](/integrations/messageries-instantanees/whatsapp.md).
{% endstep %}

{% step %}

## Set up your knowledge base

To respond effectively to your customers' requests, your Fullwhere AI agent will need to **know perfectly** your brand or establishment.

To do this, Fullwhere offers you a knowledge base management engine. In 3 clicks, you can feed your AI agent with **all the information about your brand** :

* **Website:** simply enter your website URL, and our system will take care of retrieving all the useful information to answer your customers.
* **Documents:** upload your various documents directly into your knowledge base (offers, menus, general policies, FAQ, presentations, etc.)
* **Segments:** write FAQ articles directly from Fullwhere that your AI agent can rely on to answer your customers.

You will then be able, at any time, to **modify** or **complete** the information in your knowledge base to refine your AI agent's responses.

Our [complete guide](/documentation-en/automations/knowledge-bases.md) shows you how to set up your knowledge base.

<a href="https://app.fullwhere.com/automation/knowledge-base" class="button secondary" data-icon="arrow-up-right">Create a knowledge base</a>
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## Deploy your AI Agent

Your AI agent allows you to define the **writing rules** for responding to your customers, so that it speaks exactly as you would.

You can precisely define how your AI agent should address your customers, for example:

* how to say hello/goodbye
* whether to use the informal or formal form with the customer
* should messages be long or short
* how should your AI agent handle partnership requests, etc.

You can also **train** your AI agents so that it becomes a true **promoter** of your brand or establishment:

* highlight offers depending on the customer
* be proactive
* guide the customer step by step toward purchase or booking

By linking your knowledge base to your AI agent, it will be able to handle all **requests** from your customers.

Our [complete guide](/documentation-en/automations/ai-agents.md) will show you how to configure your AI agent.

<a href="https://app.fullwhere.com/automation/agents" class="button secondary" data-icon="arrow-up-right">Create an AI agent</a>
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## Orchestrate your messages with a Workflow

Setting up a Fullwhere Workflow dedicated to WhatsApp messages will allow you to efficiently manage your customer messages. Your workflow will allow you to:

* automatically generate a reply with your AI agent
* automatically detect cases where you need to take over
* send notifications to your teams when necessary
* assign certain requests to the right team members
* automate responses to recurring questions

Discover our [complete guide](/documentation-en/automations/workflows.md) on configuring Fullwhere workflows.

<a href="https://app.fullwhere.com/automation/workflows" class="button secondary" data-icon="arrow-up-right">Create my Workflow</a>
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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:

```
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```

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.