Ticket Summarisation — AI workflow for Malaysian SMEs
Ticket Summarisation turns long conversation thread into case summary. AI writes the first draft. You check it before it goes out.
Ready-to-use prompts for Ticket Summarisation
Create prompt
Create prompt
Create a first-pass deliverable
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
The task is ticket summarisation. Input: long conversation thread. Output I expect: case summary. Make it work for SMEs handling repetitive customer questions through email, chat, phone or tickets. Short sections only. Wrap up with one next action and a version ready to paste into the workflow.
Replace “long conversation thread” with your real data.
Analyse prompt
Analyse prompt
Analyse the input and identify the highest-impact insights
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Study the long conversation thread I provide and analyse the ticket summarisation picture. Surface the top five insights, with numbers where the data supports them. Spell out the business impact. Deliver case summary. End on the three highest-impact actions for handling time.
Replace “long conversation thread” with your real data.
Optimise prompt
Optimise prompt
Improve an existing version for better business results
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
The task: make my ticket summarisation better. You get long conversation thread and the version running today. Spot what is weak, what is unnecessary, and what is unclear. Rebuild it into a stronger case summary. For every change, state the issue, the fix, and the expected impact on handling time.
Replace “long conversation thread” with your real data.
Automate prompt
Automate prompt
Turn the task into a repeatable AI-assisted workflow
Setup · same in all four
You are helping a small or medium Malaysian business in [industry]. Write in plain English. Use short sentences. If customers will read it in Bahasa Malaysia, add a natural BM version. Do not invent numbers, prices, laws or customer details. If something needs a human to check, say so.
Replace [industry] with yours — “F&B”, “construction”, “retail”.
The task
Turn ticket summarisation into an automated workflow. It starts when long conversation thread arrives. It must end with case summary. Available systems: Help desk, email, chat, CRM, knowledge base. Map out: trigger, fields to capture, AI step, decision rules, where a human approves, what happens on failure, data to store, and handling time tracking. Keep the whole thing maintainable by a small team.
Replace “long conversation thread” and the listed systems with what you actually run.
New here? How the four prompts work together
They are one sequence, not four options. Run them in order on the same piece of work, feeding each answer into the next.
Create
Paste your real data. You get a first draft. Most people never need to go further than this.
Analyse
Paste that draft back in. It tells you what is weak, missing or wrong before a customer sees it.
Optimise
Paste the draft again with what Analyse found. You get a stronger version.
Automate
Only once the output has been good five times running. This is the one people reach for too early.
Nothing forces you through all four. A good Create draft that you edit yourself is a finished job. The longer version.
Specification
- You give it
- Long conversation thread
- You get back
- Case summary
- Moves
- Handling time
- Run it
- Daily
- Priority
- P0
- Works with
- Help desk, email, chat, CRM, knowledge base
Is this for you?
- Pick it for
- SMEs handling repetitive customer questions through email, chat, phone or tickets. No setup needed. If you can copy and paste, you can run it.
- What you get
- Drafted in minutes, not built from scratch. It aims at productivity. Watch one number: handling time.
- Reach for it when
- Most SMEs run it daily. If you are doing it by hand more often, automate it first.
How to run it
- 01Collect the input: long conversation thread.
- 02Copy the Create prompt and paste it into ChatGPT, Claude or Gemini.
- 03Replace “long conversation thread” in the prompt with your real data, then run it.
- 04Read the output against what you already know and correct anything the model guessed at.
- 05Track handling time. Only wire up the Automate prompt after five useful runs in a row.
The tools you will need
The prompts run in any chat assistant — ChatGPT, Claude or Gemini. These are what you need around them to get the input in and the output somewhere useful.
- chat
- Any tool you already use is fine.
- knowledge base
Check the rules yourself
This workflow touches rules set by someone else. Check the current requirements yourself before you act on the output.
- JPDP
- Pasting customer or staff records into an AI tool is a transfer of personal data. Consent, notice, retention and cross-border rules still apply when the tool is not yours.
Links go to each authority’s own site. See all Malaysian authorities.
Data & privacy
This workflow involves customer names, contact details and support messages. Under the PDPA your business stays responsible for it, and pasting it into an AI tool may be a disclosure to a third party. Replace names and numbers with initials or references first — the prompt works just as well on “Customer A”.
Using customer data with AI tools in Malaysia covers what to check with any provider before you paste.
For this website, it works differently.
Nothing you type here is sent to us or to an AI model. The prompts are static content, and the copy button works directly inside your browser.
Related workflows
- Escalation DetectionTurns ticket text and history into escalation flag and reason.
- First ResponseTurns ticket and customer history into accurate first reply.
- Knowledge Article RecommendationTurns customer question into relevant article suggestion.
- Refund Request HandlingTurns request and policy into policy-aligned response.
All customer service & help desk workflows: Customer Service & Help Desk
Maintained by Naven Pillai