Block 1 - OpenRouter Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
AI Telegram Customer Support Assistant + Lead Manager This n8n workflow provides a fully automated AI driven customer support assistant connected to Telegram, with built in lead management, know...
@n8n/n8n-nodes-langchain.lmchatopenrouter, @n8n/n8n-nodes-langchain.memorybufferwindow, n8n-nodes-base.stickynote, n8n-nodes-base.telegramtrigger, n8n-nodes-base.datatable, n8n-nodes-base.datatabletool, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.telegram
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by osama goda.
Original n8n.io source🧠 AI Telegram Customer Support Assistant + Lead Manager
This n8n workflow provides a fully automated AI-driven customer support assistant connected to Telegram, with built-in lead management, knowledge-base querying, and context-aware answers.
⭐ What this workflow does
Receives user messages from Telegram
Logs all incoming/outgoing messages into a Data Table
Checks if a lead exists for the user (via chat_id)
Creates new leads automatically if needed
Builds an AI-ready context (user info + lead info + latest message)
Uses the AI Agent to answer questions using:
FAQ database
Services table (programs, prices, descriptions)
Settings table (agency info)
Lead update tool
Sends a natural, friendly reply back to Telegram
Updates leads in real time (name, phone, email, notes…)
📦 Required Data Tables (to be created by the user)
leads Stores all user information (full_name, phone, email, etc.)
services List of available programs/services with prices, duration, category.
faq Frequently asked questions with answers and optional tags.
settings Company/agency details used by the assistant.
chat_logs Logs all messages exchanged with users (user + bot).
🔧 Required Credentials
Telegram Bot API Key
AI Model Credential (OpenAI, OpenRouter, Groq…)
No other credentials required.
🚀 How to use it
Import the workflow into your n8n instance
Create the required Data Tables as defined inside the Sticky Notes
Add your credentials (Telegram + AI Model)
Customize the prompt to match your business
Activate the workflow — you're ready to go!
💡 Suitable for:
Travel agencies
Customer support chatbots
Lead qualification + automation
AI knowledge-based assistants
Telegram-first businesses
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Create an AI-powered Telegram customer support bot with lead management |
|---|---|
| Complexity | advanced |
| Nodes | 23 |
| Categories | Support Chatbot, AI Chatbot |
| Author | osama goda |
| Published | 23 Nov 2025 |
Use the JSON export at /data/workflows/11165/11165.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
AI Telegram Customer Support Assistant + Lead Manager This n8n workflow provides a fully automated AI driven customer support assistant connected to Telegram, with built in lead management, know...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Support Chatbot, AI Chatbot use case.