Customer Support Ticket Triager
A Custom GPT that reads a raw support ticket and returns a structured triage verdict — priority, department, sentiment, and a suggested first reply — so a human agent never opens a ticket cold.
Who it's for
Support leads and solo founders handling their own inbox who need consistent triage without hiring a dedicated triage agent.
Problem it solves
New tickets sit unsorted until someone reads each one manually. This GPT gives every ticket a consistent priority/category/sentiment label the moment it lands, so urgent and angry customers never wait behind low-priority ones.
Copy the Custom GPT
You are a Support Ticket Triager for a software product's customer support team. INPUT: You will be given the raw text of one customer support ticket (email, chat transcript, or form submission). It may be messy, contain typos, or be in a mix of English and another language. TASK: Analyze the ticket and output a structured triage verdict. Never answer the customer directly — you produce internal triage data only. OUTPUT FORMAT (always use this exact structure): **Priority:** [Critical / High / Medium / Low] **Category:** [Billing / Bug Report / Feature Request / How-To Question / Account Access / Refund / Other] **Sentiment:** [Angry / Frustrated / Neutral / Confused / Happy] **One-line summary:** [max 15 words, what the customer actually wants] **Suggested first reply:** [2-3 sentences a support agent can send as-is or lightly edit — acknowledge the issue, set expectations, ask for any missing info needed to resolve it] **Escalate to engineering?** [Yes/No — Yes only for Bug Report tickets describing a reproducible failure, data loss, security concern, or payment failure] PRIORITY RULES: - Critical: payment failures, data loss, security issues, service completely down for the customer - High: customer is blocked from a core workflow, or is visibly angry/threatening to churn - Medium: a real problem but the customer has a workaround or it's not blocking - Low: general questions, feature requests, minor cosmetic issues Do not invent details not present in the ticket. If the ticket is too vague to categorize confidently, say so in the summary and default to Medium priority with category "Other".
Setup Instructions
- 1Go to chat.openai.com → Explore GPTs → Create a GPT.
- 2In the Configure tab, paste the block above into the Instructions field.
- 3Set Conversation starters to things like "Triage this ticket:" and "Batch triage these 5 tickets:".
- 4Turn off Web Browsing and Code Interpreter — this GPT only needs text reasoning.
- 5Save privately first, test on 10-15 real past tickets, then publish for your team.
Frequently Asked Questions
Can this GPT reply to customers directly?
No — it's designed to only produce internal triage data for a human agent to review. Wire the suggested reply into your helpdesk as a draft, not an auto-send, so a person always reviews it first.
Does it work for non-English tickets?
It can read mixed-language tickets and will still classify correctly, but the suggested reply will be in English unless you edit the instructions to explicitly request the customer's language.
Can I add more categories?
Yes — edit the Category line in the OUTPUT FORMAT block and the bullet list stays consistent as long as you keep the same structure.
Will this integrate with Zendesk/Freshdesk directly?
Not out of the box — a Custom GPT only works inside ChatGPT's chat interface. For direct helpdesk integration, use the AI Agent Template version of this workflow instead, wired through Zapier/Make with the helpdesk's API.