AI-Powered Telegram & WhatsApp Business Agent Workflow
Deliver AI-driven customer support on Telegram and WhatsApp using GPT-4 Turbo. Handles message normalization, contextual responses, intent detection, escalation, and logging to Google Sheets.
This workflow provides seamless, unified customer support across Telegram and WhatsApp platforms. It uses Telegram Bot Trigger and WhatsApp Webhook to receive messages, normalizes them, and builds customer context by querying Google Sheets for profiles including past orders, preferences, and conversation history. Powered by GPT-4 Turbo, it generates personalized, platform-specific responses (HTML for Telegram, plain text for WhatsApp).
Key intelligence features include intent detection for orders, appointments, or escalations, triggering Slack notifications for human handoff when needed. Every interaction is logged comprehensively to Google Sheets 'conversations' and 'customers' sheets, enabling easy auditing, analytics, and continuous improvement of AI performance.
Ideal for businesses seeking 24/7 automated support without sacrificing personalization. Use cases include e-commerce order tracking, service inquiries, appointment scheduling, and crypto wallet monitoring queries. It saves hours of manual response time, reduces support costs, and boosts customer satisfaction through intelligent, context-aware interactions. Requires self-hosted n8n with community nodes, OpenAI, Telegram, WhatsApp Business API, Google Sheets, and Slack credentials.
New buyers can create an account from the cart to unlock a controlled $10 first-purchase credit on eligible orders of $25+.
Related bundle
WhatsApp Business Automation
7 hand-picked workflows for $39.00.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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