Email Summarisation — AI workflow for Malaysian SMEs
Email Summarisation turns long email thread into decision/action summary. AI writes the first draft. You check it before it goes out.
Ready-to-use prompts for Email 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
Create decision/action summary. You will get long email thread from me. Treat this as email summarisation for small teams where owners and staff lose time to repetitive coordination and document work. Keep every section short and concrete. End with the one action to take next. Give me a clean copy-paste version too.
Replace “long email 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
The task is analysis: email summarisation. Material: long email thread. Give me the five most important findings, ranked. Say what each does to the business. Build decision/action summary from what you find. Close with three actions that improve reading time.
Replace “long email 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
Task: optimise email summarisation. You will see long email thread together with the current version. Be blunt about what is not working. Return a stronger decision/action summary. Structure the changes as: issue found, recommended change, expected effect on reading time.
Replace “long email 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
Automate email summarisation for me. Trigger event: long email thread. Deliverable: decision/action summary. Stack: Email, calendar, cloud storage, forms, office suite. Lay out the trigger, required inputs, AI step, decision rules, where humans sign off, fallback behaviour, what to log, and reading time tracking. A two-person Malaysian team must be able to keep this running.
Replace “long email 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 email thread
- You get back
- Decision/action summary
- Moves
- Reading time
- Run it
- Daily
- Priority
- P2
- Works with
- Email, calendar, cloud storage, forms, office suite
Is this for you?
- Pick it for
- Small teams where owners and staff lose time to repetitive coordination and document work. 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: reading 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 email thread.
- 02Copy the Create prompt and paste it into ChatGPT, Claude or Gemini.
- 03Replace “long email 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 reading 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.
- calendar
- cloud storage
- Any tool you already use is fine.
- forms
- office suite
- Any tool you already use is fine.
Data & privacy
If you paste customer or staff details into an AI tool, your business stays responsible for them under the PDPA. Replace names and numbers with initials or references first.
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
- Email DraftingTurns rough notes and objective into professional email.
- Document SummarisationTurns long document into executive summary.
- Form Response ProcessingTurns submitted form responses into structured action list.
- File Naming StandardisationTurns file list into consistent file names.
All admin & office productivity workflows: Admin & Office Productivity
Maintained by Naven Pillai