I built a WhatsApp AI system that replies to customers automatically — here's exactly how it works 👇 A client came to me with a simple problem:

My WhatsApp is full of messages. I can't keep up. I'm losing customers.

So I built a 7-part automated system in n8n.

Here's the full breakdown:

Section 1 — Message Entry Webhook captures every WhatsApp message the moment it arrives. Filters out delivery receipts so the system doesn't loop.

Section 2 — AI Classifier Groq AI reads the message and classifies intent — is it a complaint, inquiry, order, or support request?

Section 3 — Data Layer All customer info is mapped and saved. New customers get auto-created in CRM.

Section 4 — Routing Engine System decides: Can AI handle this? Or does a human need to step in?

Section 5 — RAG Agent Gemini + Pinecone searches the knowledge base and generates a context-aware reply — not a template, a real answer.

Section 6 — Human Escalation If AI can't handle it, the case goes to a human agent with the full chat history attached.

Section 7 — Response Delivery Final reply sent back to WhatsApp automatically. Customer gets a response in seconds.

Result?

✅ 24/7 customer support ✅ Zero manual replies ✅ Every conversation logged in CRM ✅ No missed leads

Tools used: n8n, WhatsApp Business API, Groq, Gemini, Pinecone, Google Sheets

If you're learning automation or building something similar — drop your questions below. Happy to help 👇

3 comments

skool.com/ai-automation-society

Learn to get paid for AI solutions, regardless of your background.

Leaderboard (30-day)

+5998

🔥

+5030

+4341

🔥

+2161

+850