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Autonomous Customer Support Triage

P
Executive Summary

This support automation intercepts incoming tier-1 tickets and uses LLMs to classify them by sentiment, urgency, and category. Critical issues are instantly escalated to Slack, while standard inquiries receive highly accurate, policy-compliant drafted responses staged in the helpdesk for quick human approval.

Automatically categorize incoming tickets, analyze sentiment, and draft responses based on your company knowledge base.

ROI Analysis

100

Cost Saved /mo

$329

Capacity Unlocked

16.7h

Execution Pathway

1

Determine ticket priority and category.

Classifier

2

Search internal docs for the answer.

Researcher

3

Draft the email reply.

Writer

Enterprise Guardrails

  • Final review of drafted email before hitting send
  • Approval required for refunds over $50

The Goal: Autonomous Inbox Management

Customer support teams drown in repetitive tier-1 tickets. This agent intercepts incoming support requests, categorizes them by urgency, searches your knowledge base, and drafts a highly accurate reply for human review.

Here is the exact step-by-step blueprint to build this triage agent.


Step 1: The Helpdesk Webhook (Trigger)

Create a new scenario in Make.com. Set up a Webhook triggered by your helpdesk (e.g., Zendesk, Intercom, or a dedicated support email).

  • Route only "New Ticket" events into the pipeline.

Step 2: AI Classification & Triage (The Router)

Add an OpenAI (ChatGPT) module (gpt-4o). We will use this to determine the ticket's category and sentiment so we can route angry customers to human managers immediately.

System Prompt (Classifier): You are an expert customer success manager. Read the user's message and output a strict JSON object categorizing the request.

Required fields:

  • "sentiment": (string) "positive", "neutral", or "angry"
  • "category": (string) "billing", "technical_issue", "feature_request", or "other"
  • "urgency": (integer) 1 to 5, where 5 is a critical system outage.

Step 3: Conditional Routing

Add a Make.com Router.

  • Route A (High Urgency/Angry): If urgency is 4-5 or sentiment is "angry", push an alert directly to a Slack channel (#urgent-support) and bypass auto-drafting.
  • Route B (Standard Tickets): Proceed to Step 4.

Step 4: The AI Drafter

For standard tickets, add another OpenAI module. Provide it with a summary of your refund policy or FAQ, and map the user's original message.

System Prompt (Drafter): You are a polite, helpful support agent. Draft a reply to the customer's issue based on the following company policies: [Insert Policies]. Do not promise refunds unless explicitly covered in the policy. End with "Best, The Support Team".

Step 5: Save as Draft (Human-in-the-Loop)

Add a Gmail or Zendesk module. Instead of sending the email directly, use the action "Create a Draft". This ensures your human agents do a final 10-second review before it goes to the customer.


📥 1-Click Import (Make.com Blueprint)

Don't want to build this from scratch? Download our pre-configured Make.com JSON file below.

Download Blueprint .JSON

Prerequisite Stack

Make.com

Make.com

Service

The leading visual platform to design, build, and automate workflows using AI agents and 1,000+ apps.

Source Tool
OpenAI (GPT-4o)

OpenAI (GPT-4o)

Service

State-of-the-art multimodal model perfect for vision extraction, complex reasoning, and tool use.

Source Tool