Automate customer support with WhatsApp AI assistant for Whatsapp groups

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

How it works Your WhatsApp AI Assistant automatically handles customer inquiries by linking your Google Docs knowledge base to incoming WhatsApp messages. The system instantly processes customer qu...

Best for

Support Chatbot automation workflows
AI Chatbot automation workflows
intermediate n8n builders looking for reusable templates

Tools used

@n8n/n8n-nodes-langchain.agent, n8n-nodes-base.code, n8n-nodes-base.if, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.aitransform, n8n-nodes-base.googlesheets, n8n-nodes-base.datetime, n8n-nodes-base.stickynote

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Jamot.

Original n8n.io source

1.1 Workflow description

Title: Automate customer support with WhatsApp AI assistant for Whatsapp groups
Workflow name: Automate customer support with WhatsApp AI assistant for Whatsapp groups

How it works

Your WhatsApp AI Assistant automatically handles customer inquiries by linking your Google Docs knowledge base to incoming WhatsApp messages. The system instantly processes customer questions, references your business documentation, and delivers AI-powered responses through OpenAI or Gemini - all without you lifting a finger. Works seamlessly in individual chats and WhatsApp groups where the assistant can respond on your behalf.

Set up steps

Time to complete: 15-30 minutes

Step 1: Create your WhapAround account and connect your WhatsApp number (5 minutes)

Step 2: Prepare your Google Doc with business information and add the document ID to the system (5 minutes)

Step 3: Configure the WhatsApp webhook and map message fields (10 minutes)

Step 4: Connect your OpenAI or Gemini API key (3 minutes)

Step 5: Send a test message to verify everything works (2 minutes)

Optional: Set up PostgreSQL database for conversation memory and configure custom branding/escalation rules (additional 15-20 minutes)

Detailed technical configurations, webhook URLs, and API parameter settings are provided within each workflow step to guide you through the exact setup process.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - AI Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 1.7

Block 2 - cleanAnswer

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 3 - 24-hour window check

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 4 - If

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 5 - Google Gemini Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 6 - Prepare Prompt

Type / Role: n8n-nodes-base.aiTransform - aiTransform
Config choices: Version 1

Block 7 - Google Sheets

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 8 - Date & Time

Type / Role: n8n-nodes-base.dateTime - dateTime
Config choices: Version 2

Block 9 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 10 - company's knowledge

Type / Role: n8n-nodes-base.googleDocs - googleDocs
Config choices: Version 2

Block 11 - Simple Memory

Type / Role: @n8n/n8n-nodes-langchain.memoryBufferWindow - memoryBufferWindow
Config choices: Version 1.3

Block 12 - WhapAround - Listeing

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2

Block 13 - WhapAround - Respond Message

Type / Role: n8n-nodes-base.respondToWebhook - respondToWebhook
Config choices: Version 1.2

Block 14 - WhapAround - Respond Template

Type / Role: n8n-nodes-base.respondToWebhook - respondToWebhook
Config choices: Version 1.2

3. Summary Table

Workflow	Automate customer support with WhatsApp AI assistant for Whatsapp groups
Complexity	intermediate
Nodes	14
Categories	Support Chatbot, AI Chatbot
Author	Jamot
Published	24 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/6387/6387.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Support Chatbot workflows AI Chatbot workflows

Frequently asked questions

What does Automate customer support with WhatsApp AI assistant for Whatsapp groups do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, AI Chatbot use case.

Jamot

3 workflows

Nodes

@n8n/n8n-nodes-langchain.agent n8n-nodes-base.code n8n-nodes-base.if @n8n/n8n-nodes-langchain.lmchatgooglegemini n8n-nodes-base.aitransform n8n-nodes-base.googlesheets n8n-nodes-base.datetime n8n-nodes-base.stickynote

Complexity

intermediate

Published 24 Jul 2025

Likes 0

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Install path: /data/workflows/6387/6387.json

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Automate customer support with WhatsApp AI assistant for Whatsapp groups

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How it works

Set up steps

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - AI Agent

Block 2 - cleanAnswer

Block 3 - 24-hour window check

Block 4 - If

Block 5 - Google Gemini Chat Model

Block 6 - Prepare Prompt

Block 7 - Google Sheets

Block 8 - Date & Time

Block 9 - Sticky Note

Block 10 - company's knowledge

Block 11 - Simple Memory

Block 12 - WhapAround - Listeing

Block 13 - WhapAround - Respond Message

Block 14 - WhapAround - Respond Template

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions