Automated HR Service System with WhatsApp, GPT-4 Classification & Google Workspace

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Important notice

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

1. Workflow Overview

Who is this for? This workflow is ideal for HR teams, startups, and enterprises that want to handle employee interactions through WhatsApp and automate responses using LLM (OpenAI) and intelligent ...

Best for

HR automation workflows
AI Chatbot automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.whatsapptrigger, n8n-nodes-base.switch, @n8n/n8n-nodes-langchain.openai, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.vectorstoresupabase

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: Automated HR Service System with WhatsApp, GPT-4 Classification & Google Workspace
Workflow name: Automated HR Service System with WhatsApp, GPT-4 Classification & Google Workspace

What problem is this workflow solving? Managing WhatsApp messages manually can be time-consuming and error-prone. This workflow solves that by:

Auto-classifying messages using LLM

Routing them to the right AI-powered agent

Automating leave approvals, attendance, HR FAQs, complaints, and candidate shortlisting

Delivering final responses interactively via WhatsApp

What this workflow does WhatsApp Trigger captures incoming messages

LLM Classification analyzes message intent and outputs category (1–5)

Switch Node routes the message to the correct agent:

1 → Leave Agent

2 → HR FAQ Chatbot

3 → Attendance Agent

4 → Complaint/Request Agent

5 → Shortlisting Agent

Each agent performs specific tasks using tools like:

Google Sheets (fetch dept head emails, JD/applicants, logs)

Google Calendar (schedule meetings)

Vector Search (for policy embeddings)

OpenAI (transcription, classification, chatbot)

Final WhatsApp Response node sends updates and interactive options to the user

Setup Connect WhatsApp API (e.g., via Twilio or WhatsApp Business Cloud API)

Configure OpenAI credentials

Set up Google Sheets with:

Employee data

JD and applicants info

Policy documents (for embedding)

Prepare Google Calendar access

Create a vector store with embedded company policy docs

How to customize this workflow to your needs Update the LLM prompt to suit your company’s categories or expand to more intents

Replace sample sheets with your organization’s actual data

Train your own policy embeddings if needed

Add/modify agents (e.g., Payroll Bot, IT Support Bot) by cloning an existing pattern

Adjust the Switch Node if you add more classifications

With this modular and intelligent setup, you can turn your WhatsApp into a smart HR & operations assistant powered by AI, accessible 24/7.

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 - WhatsApp Trigger

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

Block 2 - Verify Message Type

Type / Role: n8n-nodes-base.switch - switch
Config choices: Version 3.2

Block 3 - OpenAI

Type / Role: @n8n/n8n-nodes-langchain.openAi - openAi
Config choices: Version 1.8

Block 4 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.1

Block 5 - Edit Fields

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 6 - HTTP Request

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 7 - HTTP Request1

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 8 - OpenAI1

Type / Role: @n8n/n8n-nodes-langchain.openAi - openAi
Config choices: Version 1.8

Block 9 - OpenAI Chat Model3

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 10 - Code1

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

Block 11 - OpenAI Chat Model1

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 12 - Supabase Vector Store

Type / Role: @n8n/n8n-nodes-langchain.vectorStoreSupabase - vectorStoreSupabase
Config choices: Version 1.2

Block 13 - Embeddings OpenAI

Type / Role: @n8n/n8n-nodes-langchain.embeddingsOpenAi - embeddingsOpenAi
Config choices: Version 1.2

Block 14 - Edit Fields1

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 15 - Edit Fields2

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 16 - OpenAI Chat Model2

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 17 - Gmail

Type / Role: n8n-nodes-base.gmailTool - gmailTool
Config choices: Version 2.1

Block 18 - Edit Fields3

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 19 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.2

Block 20 - Personalize email

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

Block 21 - Google Calendar

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

Block 22 - Google Sheets2

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

Block 23 - OpenAI Chat Model4

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

Block 24 - Gmail1

Type / Role: n8n-nodes-base.gmailTool - gmailTool
Config choices: Version 2.1

Showing the first 24 of 65 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Automated HR Service System with WhatsApp, GPT-4 Classification & Google Workspace
Complexity	advanced
Nodes	65
Categories	HR, AI Chatbot
Author	Tanay Agarwal
Published	16 Jun 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/4975/4975.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 HR workflows AI Chatbot workflows

Frequently asked questions

What does Automated HR Service System with WhatsApp, GPT-4 Classification & Google Workspace 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 HR, AI Chatbot use case.

Tanay Agarwal

1 workflow

Nodes

n8n-nodes-base.whatsapptrigger n8n-nodes-base.switch @n8n/n8n-nodes-langchain.openai @n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.set n8n-nodes-base.httprequest n8n-nodes-base.code @n8n/n8n-nodes-langchain.vectorstoresupabase

Complexity

advanced

Published 16 Jun 2025

Likes 0

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Install path: /data/workflows/4975/4975.json

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Automated HR Service System with WhatsApp, GPT-4 Classification & Google Workspace

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - WhatsApp Trigger

Block 2 - Verify Message Type

Block 3 - OpenAI

Block 4 - OpenAI Chat Model

Block 5 - Edit Fields

Block 6 - HTTP Request

Block 7 - HTTP Request1

Block 8 - OpenAI1

Block 9 - OpenAI Chat Model3

Block 10 - Code1

Block 11 - OpenAI Chat Model1

Block 12 - Supabase Vector Store

Block 13 - Embeddings OpenAI

Block 14 - Edit Fields1

Block 15 - Edit Fields2

Block 16 - OpenAI Chat Model2

Block 17 - Gmail

Block 18 - Edit Fields3

Block 19 - Structured Output Parser

Block 20 - Personalize email

Block 21 - Google Calendar

Block 22 - Google Sheets2

Block 23 - OpenAI Chat Model4

Block 24 - Gmail1

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