AI-Powered WhatsApp Business Assistant Workflow

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This workflow integrates AI and WhatsApp to create an intelligent assistant for small businesses. It triggers on incoming WhatsApp messages, processes them with a language model, maintains context with memory buffers, and responds via WhatsApp, enabling automated customer interactions. The workflow involves a trigger node that detects new messages, an AI agent that processes and generates responses, memory nodes for contextual continuity, and an output node that sends replies back to users. Practical for automating customer support, inquiries, or engaging users seamlessly through WhatsApp, this setup streamlines small business communication and enhances customer experience.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatGroq, @n8n/n8n-nodes-langchain.memoryBufferWindow, if, stickyNote, whatsApp, whatsAppTrigger

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