AI Customer Support Assistant · WhatsApp Ready · Any Business

AI-powered customer support bot that auto-maps business websites, handles real-time WhatsApp chats with memory, replacing expensive SaaS tools. No-code setup in ~15 minutes using OpenAI, WhatsApp API, and Supabase.

n8n
AI Customer Support Assistant · WhatsApp Ready · Any Business

This n8n workflow creates a live AI customer support assistant that automatically crawls and maps any business website (products, policies, FAQs) on demand, eliminating the need for document uploads or model fine-tuning. It responds to WhatsApp messages in real-time within the 24-hour window, using free-form replies or Meta-recommended templates as needed. Chat memory is persisted in Supabase or Postgres, replaying conversation history for natural, context-aware interactions across sessions.

Key benefits include zero content training—just point to your domain and go live—saving thousands by replacing pricey SaaS chatbots or enabling white-label sales to clients. It's channel-agnostic (easy swaps for Telegram, Slack, web chat) with flexible voice tuning via a single prompt. All free-tier friendly: OpenAI key, Meta WhatsApp Cloud API, and Supabase.

Ideal use cases: E-commerce product inquiries, service FAQs, policy explanations for any business. Setup in 5 steps: import template, add credentials, paste domain, test webhook, deploy. Scales effortlessly for high-volume support without ongoing training.

$24.99
Last updated October 3, 2026
30-day money-back guarantee
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Lifetime updates included

New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.

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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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