An AI-powered multilingual customer support automation system built using n8n, Groq API, Telegram Bot API, and an AI Agent.
The system automatically detects the user's language, understands the user's intent, generates a response in the same language, and routes the request to the appropriate customer support workflow.
Customer support systems often receive messages from users speaking different languages.
Handling these messages manually can be difficult and time-consuming.
This project uses Artificial Intelligence and workflow automation to automatically process customer messages and provide multilingual customer support.
The bot can:
- Receive customer messages through Telegram
- Detect the user's language automatically
- Understand customer intent using an AI model
- Generate replies in the same language
- Classify requests into FAQ, Complaint, Billing, and Escalation
- Route requests using an n8n Switch node
- Send responses automatically through Telegram
- Send serious customer issues to a human support group
- Multilingual customer support
- Automatic language detection
- AI-based intent classification
- AI-generated customer responses
- Telegram Bot integration
- FAQ handling
- Complaint handling
- Billing query handling
- Human escalation support
- Automated workflow using n8n
| Technology | Purpose |
|---|---|
| n8n | Workflow automation |
| Groq API | AI model inference |
| Telegram Bot API | Customer communication |
| AI Agent | Language detection, intent classification, and response generation |
| JavaScript | Parsing AI-generated JSON output |
| JSON | Workflow export and structured AI output |
Telegram User
↓
Telegram Trigger
↓
Edit Fields
↓
AI Agent + Groq Chat Model
↓
JavaScript Code Node
↓
Switch Node
↓
FAQ → Telegram Reply
Complaint → Telegram Reply
Billing → Telegram Reply
Escalation → Customer Reply → Human Support Group Alert
-
A customer sends a message to the Telegram bot.
-
The Telegram Trigger node receives the message.
-
The Edit Fields node extracts the message, chat ID, username, and user ID.
-
The AI Agent uses the Groq Chat Model to detect the language, classify the intent, and generate a response.
-
The AI Agent returns structured JSON containing:
- Language
- Intent
- Reply
-
The JavaScript Code node parses the JSON response.
-
The Switch node checks the detected intent.
-
The request is routed to FAQ, Complaint, Billing, or Escalation.
-
The bot sends the generated response to the customer.
-
Serious issues are escalated to a human support group.
multilingual-customer-support-bot/
├── multilingual-customer-support-bot.json
├── n8n workflow image.png
├── telegram-bot-demo.png
├── README.md
└── LICENSE
-
Install or open n8n.
-
Download the
multilingual-customer-support-bot.jsonworkflow file. -
Import the workflow into n8n.
-
Configure your Telegram Bot credentials.
-
Configure your Groq API credentials.
-
Update the Telegram chat ID used for human escalation.
-
Activate the workflow.
-
Send a message to your Telegram bot and test the system.
API keys, Telegram bot tokens, and other sensitive credentials should never be uploaded to GitHub.
Users who import this workflow must configure their own credentials.
- Add a customer support knowledge base
- Store customer interactions in a database
- Add Airtable or Google Sheets for complaint tracking
- Add conversation memory
- Create an admin dashboard
- Add customer support analytics
- Deploy n8n on a cloud server
- Improve AI response validation and error handling
Through this project, I learned:
- Workflow automation using n8n
- Integration of AI models using Groq API
- Telegram Bot API integration
- Prompt engineering
- Multilingual AI response generation
- Intent classification
- JSON parsing using JavaScript
- Workflow routing using Switch nodes
- Human escalation workflow design
This project is licensed under the MIT License.