Automated HR Service System with WhatsApp, GPT-4 Classification & Google Workspace
Automates HR WhatsApp queries with AI classification and intelligent agent routing.
Open template Updated 2026-06-19
What this workflow does
The workflow ingests messages through WhatsApp, embeds them with OpenAI Embeddings, retrieves context from Supabase Vector Store, and uses LLM chains plus the Call n8n Workflow Tool to execute actions such as approvals or data updates in Google Sheets.
It serves HR teams, startups, and enterprises seeking to replace manual message handling with automated, LLM-powered responses for attendance, complaints, and recruitment tasks.
Who is this for?
HR teams, startups, and enterprises that want to handle employee interactions through WhatsApp and automate responses using LLM (OpenAI) and intelligent routing.
What problem it solves
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, and automating leave approvals, attendance, HR FAQs, complaints, and candidate shortlisting.
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What it automates
Leave approvals
Employee sends leave request on WhatsApp; LLM classifies intent and routes to AI agent that updates Google Sheets and confirms via WhatsApp.
HR policy FAQs
Staff asks common questions; workflow uses Supabase Vector Store and Vector Store Question Answer Tool to retrieve accurate answers and reply instantly.
Candidate shortlisting
Recruiter receives applicant details via WhatsApp; Structured Output Parser extracts data and AI Agent logs it to Google Sheets for review.
How the workflow works
The 13 nodes in this automation, in order.
- 1Google SheetsgoogleSheets
- 2HTTP RequesthttpRequest
- 3WhatsApp Business CloudwhatsApp
- 4Codecode
- 5AI Agent@n8n/n8n-nodes-langchain.agent
- 6Basic LLM Chain@n8n/n8n-nodes-langchain.chainLlm
- 7Embeddings OpenAI@n8n/n8n-nodes-langchain.embeddingsOpenAi
- 8OpenAI Chat Model@n8n/n8n-nodes-langchain.lmChatOpenAi
- 9Structured Output Parser@n8n/n8n-nodes-langchain.outputParserStructured
- 10Call n8n Workflow Tool@n8n/n8n-nodes-langchain.toolWorkflow
- 11Supabase Vector Store@n8n/n8n-nodes-langchain.vectorStoreSupabase
- 12OpenAI@n8n/n8n-nodes-langchain.openAi
- 13Vector Store Question Answer Tool@n8n/n8n-nodes-langchain.toolVectorStore
Apps & integrations used
Google SheetsHTTP RequestWhatsApp Business CloudAI AgentBasic LLM ChainEmbeddings OpenAIOpenAI Chat ModelStructured Output ParserCall n8n Workflow ToolSupabase Vector StoreOpenAIVector Store Question Answer Tool
How to set up Automated HR Service System with WhatsApp, GPT-4 Classification & Google Workspace
- 1Add WhatsApp Business Cloud trigger node and connect your business number
- 2Insert Basic LLM Chain + OpenAI Chat Model node for message classification
- 3Add Structured Output Parser to extract intent and route to AI Agent
- 4Connect Supabase Vector Store and Vector Store Question Answer Tool for HR knowledge retrieval
- 5Use Call n8n Workflow Tool or HTTP Request to update Google Sheets
- 6Link final AI Agent response back to WhatsApp Business Cloud
How to customize this workflow
- →Swap OpenAI Chat Model for another provider supported by n8n
- →Change trigger from WhatsApp to another channel node
- →Add Embeddings OpenAI step to index new HR documents in Supabase
- →Extend AI Agent with extra Call n8n Workflow Tool branches for new categories
Automated HR Service System with WhatsApp, GPT-4 Classification & Google Workspace: pros & cons
Pros
- +End-to-end WhatsApp automation with GPT-4 classification
- +Combines vector search and structured routing in one flow
- +Direct Google Sheets logging without manual copy-paste
- +Modular AI Agent design allows easy category expansion
Cons
- –Requires paid OpenAI and Supabase usage
- –WhatsApp Business Cloud setup needed before testing
- –Complex routing may need prompt tuning for accuracy
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Frequently asked questions
It receives WhatsApp messages, classifies them with GPT-4, routes to specialized AI agents, and automates common HR tasks while replying via WhatsApp.
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