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Automate Telegram support handover from AI to humans with GPT4 and email alerts

MeeliooMeelioo
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2/3/2026
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How it Works

This is a Telegram AI-to-Human Handover System that seamlessly transitions customer support conversations between an AI agent and human operators:

  1. AI-First Response: When users message the Telegram bot, an AI agent handles the conversation initially, using memory to maintain context across messages.

  2. Smart Handover Detection: The AI recognizes when users request human assistance and triggers a two-step confirmation process (user approval, then operator availability check).

  3. Topic-Based Routing: Once confirmed, the system creates a dedicated Telegram Forum topic named after the user's ID, where operators can respond. Messages are automatically forwarded between the user's private chat and the operator's topic.

  4. Session Management: A data table tracks conversation states ('ai', 'human', 'open', 'closed'), ensuring messages route correctly and maintaining conversation history.

  5. Clean Closure: Operators type "exit" in the topic to close conversations, updating the database and closing the forum topic.

Set-up Steps

Estimated Time: 30-45 minutes (first-time setup)

You'll need to:

  • Create and configure a Telegram bot via BotFather
  • Set up a Telegram group with Topics enabled and add your bot as admin
  • Configure SMTP credentials (Gmail app password recommended)
  • Create an n8n Data Table with specific columns (type, status, topic, user)
  • Add your bot token to multiple HTTP Request nodes
  • Set up AI model credentials (OpenRouter or Azure OpenAI)
  • Fill in the Configuration node with your IDs and email addresses
  • Test the flow using the included Personal Trigger to capture your group/user IDs

Note: The template includes detailed video guides (1-minute overview and 10-minute setup walkthrough) plus extensive documentation in sticky notes covering every node and credential setup.

Automate Telegram Support Handover from AI to Humans with GPT-4 and Email Alerts

This n8n workflow automates the process of handling support requests received via Telegram, leveraging an AI agent for initial responses and seamlessly handing over to a human agent with an email alert when necessary. This ensures efficient customer service by offloading routine queries to AI while providing a clear escalation path for complex issues.

What it does

  1. Listens for Telegram Messages: The workflow is triggered by incoming messages to a configured Telegram bot.
  2. Processes with AI Agent: The incoming message is fed into an AI Agent (powered by a Chat Language Model like Azure OpenAI or OpenRouter) with a simple memory to maintain context.
  3. Determines Handover Need: The AI agent's response is analyzed to determine if a human handover is required. This is typically based on specific keywords or a designated "handover" action from the AI.
  4. Routes Based on Handover Decision:
    • If no handover is needed: The AI's response is sent back to the user via Telegram.
    • If a handover is needed:
      • An email alert is sent to a human support team, including the customer's query and the AI's interaction history.
      • A confirmation message is sent to the user on Telegram, informing them that a human agent will follow up.
  5. Logs Interactions (Optional): A "Data table" node is included, which can be configured to log interactions for analysis or auditing purposes.

Prerequisites/Requirements

  • n8n Instance: A running n8n instance.
  • Telegram Bot: A Telegram bot token and a chat ID to listen for messages and send responses.
  • AI Language Model:
    • Azure OpenAI Service: An Azure OpenAI deployment with an appropriate chat model (e.g., GPT-4) and API credentials.
    • OR
    • OpenRouter Account: An OpenRouter API key and a selected chat model.
  • SMTP Server: Access to an SMTP server for sending email alerts to human support agents.

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure Telegram Trigger:
    • Select your Telegram Bot API credential.
    • Ensure the webhook is set up correctly to receive messages.
  3. Configure AI Agent:
    • AI Agent (Node ID: 1119):
      • Select the appropriate Language Model (Azure OpenAI Chat Model or OpenRouter Chat Model).
      • Configure the System Message to define the AI's role and instructions, including how it should indicate a handover (e.g., by outputting a specific phrase like "HANDOVER_TO_HUMAN").
      • Adjust the Tools if the AI needs to interact with other services.
    • Simple Memory (Node ID: 1163): This node maintains conversation context. No specific configuration is usually needed beyond connecting it.
    • Azure OpenAI Chat Model (Node ID: 1253) / OpenRouter Chat Model (Node ID: 1281):
      • Select your respective API credentials.
      • Configure the model name and other parameters as needed.
  4. Configure "If" Node (Node ID: 20):
    • Modify the condition to check the AI Agent's output for the specific phrase or indicator that signals a human handover. For example, {{ $json.text.includes("HANDOVER_TO_HUMAN") }}.
  5. Configure "Send Email" Node (Node ID: 11):
    • Set up your SMTP credential.
    • Specify the recipient email address(es) for human support.
    • Customize the email subject and body to include relevant information from the Telegram message and AI interaction (e.g., {{ $json.chat.id }}, {{ $json.text }}, {{ $node["AI Agent"].json.text }}).
  6. Configure "Telegram" Nodes (Node IDs: 49 and 50):
    • Ensure the Telegram credential is selected for sending messages.
    • Customize the messages sent back to the user for both AI responses and handover confirmations.
  7. Activate the Workflow: Once configured, activate the workflow to start processing Telegram messages.

Note on AI Handover Logic: The If node (ID 20) is crucial for determining when to escalate. The AI Agent should be prompted to output a specific, easily identifiable string (e.g., "HANDOVER_TO_HUMAN") when it decides a human is needed. This string can then be checked by the If node to branch the workflow accordingly.

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