Refund Request Handling — AI workflow for Malaysian SMEs
Refund Request Handling turns request and policy into policy-aligned response. AI writes the first draft. You check it before it goes out.
Ready-to-use prompts for Refund Request Handling
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 job: refund request handling. I will give you request and policy. Turn it into policy-aligned response. Keep it practical for SMEs handling repetitive customer questions through email, chat, phone or tickets. Use short sections, end with one recommended next action, and give me a version I can paste straight into the workflow.
Replace “request and policy” 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
Analyse refund request handling for me. Working from request and policy, list the five findings that matter, ranked by impact. Tie each to a business consequence. Then build policy-aligned response. Sign off with three moves to push resolution time up.
Replace “request and policy” 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
Take my current refund request handling version and improve it. I supply request and policy and the existing results. Find the weaknesses, kill the busywork, tighten the output. Deliver the improved policy-aligned response. List every change with the problem it fixes and the resolution time effect I should expect.
Replace “request and policy” 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
Build me an automation design for refund request handling. Input trigger: request and policy. Final output: policy-aligned response. Tools available: Help desk, email, chat, CRM, knowledge base. Cover the trigger, required fields, AI instruction, decision logic, human checkpoints, fallback path, stored data and resolution time measurement. Nothing a small SME cannot run on its own.
Replace “request and policy” 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
- Request and policy
- You get back
- Policy-aligned response
- Moves
- Resolution 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: resolution 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: request and policy.
- 02Copy the Create prompt and paste it into ChatGPT, Claude or Gemini.
- 03Replace “request and policy” 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 resolution 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.
- Ticket SummarisationTurns long conversation thread into case summary.
All customer service & help desk workflows: Customer Service & Help Desk
Maintained by Naven Pillai