Customer Support For Support Teams Intermediate Verified · July 2026

AI Support Ticket Classifier With n8n And Chat GPT

Download the n8n JSON blueprint to analyze support tickets using ChatGPT, classify them into priority levels, and draft responses in Intercom.

Importing this blueprint? Follow the n8n guide — credentials, test runs, and common pitfalls.

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Time Saved 7 hours/week
Setup Time ~30 minutes
Platform n8n
Run Cost ~$0.01 per ticket
Connected Apps:
ChatGPT (GPT-4o) Intercom Slack

Download Integration Assets

Import this editorially reviewed blueprint directly into your n8n dashboard.

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Connected Apps

ChatGPT (GPT-4o)IntercomSlack

Interactive Workflow Canvas

Drag nodes vertically to re-order execution sequence. Edit or add steps to customize your blueprint.

Execution Steps

  1. New Ticket Trigger

    Triggers when a new customer support ticket is created in Intercom, Zendesk, or via email.

    Intercom

  2. Classify & Draft via AI

    Send the ticket details to ChatGPT (GPT-4o) to classify urgency, determine category, and draft a response.

    ChatGPT (GPT-4o)

  3. Slack Warning for Outages

    If the ticket is high urgency (e.g., system outage), immediately ping the engineering channel in Slack.

    Slack

  4. Save Draft in Intercom

    Applies priority tags and inserts the AI-crafted draft into the ticket thread, waiting for agent review.

    Intercom

Prompt Customizer Sandbox

Prompt Preview 
Analyze this customer support ticket:

Subject: {{ $json.subject }}
Message: {{ $json.body }}

Perform these tasks:
1. Classify the ticket category: "billing", "technical", "feature_request", "general_inquiry"
2. Determine urgency: "high" (outages, payment failures), "medium" (functional bugs), "low" (questions, feedback)
3. Draft a helpful, empathetic response addressing their concern.

Format your response as a strict JSON block:
{
  "category": "string",
  "urgency": "string",
  "draftResponse": "string"
}

Responding quickly to customer issues is critical for customer retention. However, support teams are often overwhelmed with a mix of simple inquiries and severe technical outages, causing delayed responses to urgent issues.

This workflow automatically triages your incoming support tickets. It categorizes tickets, assigns urgency, pings the tech team on Slack if there is a major issue, and drafts responses for your support reps so they can resolve issues with a single click.

Prerequisites

  1. An active n8n account
  2. OpenAI API credentials
  3. Intercom or Zendesk developer account

Setup Guide

  1. Import Blueprint: Download the JSON blueprint and import it into your n8n canvas.
  2. Setup Node Credentials: Authenticate the Intercom, OpenAI, and Slack nodes.
  3. Configure Urgency Routing: The conditional router node checks the urgency output from the OpenAI node. You can edit these thresholds inside n8n.
  4. Deploy: Turn the workflow on. Tickets will now auto-route and generate drafts in real-time.

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