Autonomous Customer Support Triage
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
Cost Saved /mo
$329
Capacity Unlocked
16.7h
Execution Pathway
Determine ticket priority and category.
ClassifierSearch internal docs for the answer.
ResearcherDraft the email reply.
WriterEnterprise 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.
Prerequisite Stack
Make.com
ServiceThe leading visual platform to design, build, and automate workflows using AI agents and 1,000+ apps.
Source ToolOpenAI (GPT-4o)
ServiceState-of-the-art multimodal model perfect for vision extraction, complex reasoning, and tool use.
Source Tool