This n8n workflow automates the process of generating personalized business proposals based on WhatsApp messages, including voice notes and text. It starts by listening for incoming WhatsApp messages. If a voice message is received, it is transcribed into text using OpenAI’s Whisper model. The message content, whether voice or text, is then analyzed by an AI agent that determines the appropriate service pack by matching keywords or objectives using data from Airtable. Once the pack is identified, a customized proposal in HTML format is generated through a PDF template service, filled with dynamic client and service data. The final proposal is then sent back via WhatsApp as a PDF document. This workflow is ideal for businesses that want to streamline client engagement, create customized proposals automatically, and enhance their communication efficiency through AI and automation.

Node Count	11 – 20 Nodes
Nodes Used	@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.openAi, @n8n/n8n-nodes-langchain.toolCalculator, airtableTool, apiTemplateIo, httpRequest, set, splitOut, stickyNote, switch, whatsApp, whatsAppTrigger