Policy Summarisation — AI workflow for Malaysian SMEs
Policy Summarisation turns approved policy document into plain-language summary. AI writes the first draft. You check it before it goes out.
Ready-to-use prompts for Policy 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 plain-language summary. You will get approved policy document from me. Treat this as policy summarisation for SMEs that need stronger documentation and consistent policy execution. Keep every section short and concrete. End with the one action to take next. Give me a clean copy-paste version too.
Replace “approved policy document” 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 policy summarisation for me. Working from approved policy document, list the five findings that matter, ranked by impact. Tie each to a business consequence. Then build plain-language summary. Sign off with three moves to push policy comprehension up.
Replace “approved policy document” 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
Improve my existing policy summarisation work. I will give you approved policy document plus the current version and its results. Find the weak points. Cut wasted effort. Sharpen clarity and accuracy. Return an improved plain-language summary. Show each fix as: current issue, recommended change, expected effect on policy comprehension.
Replace “approved policy document” 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
Design an AI-assisted automation around policy summarisation. Starting point: approved policy document. End result: plain-language summary. Connected systems: Document storage, knowledge base, forms, HRIS. I need the trigger, field list, AI instruction, decision rules, human approval points, failure handling, stored records and a policy comprehension tracking method. Keep maintenance light.
Replace “approved policy document” 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
- Approved policy document
- You get back
- Plain-language summary
- Moves
- Policy comprehension
- Run it
- Monthly/As needed
- Priority
- P4
- Works with
- Document storage, knowledge base, forms, HRIS
Is this for you?
- Pick it for
- SMEs that need stronger documentation and consistent policy execution. 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 risk and compliance. Watch one number: policy comprehension.
- Reach for it when
- Most SMEs run it monthly or as needed. If you are doing it by hand more often, automate it first.
How to run it
- 01Collect the input: approved policy document.
- 02Copy the Create prompt and paste it into ChatGPT, Claude or Gemini.
- 03Replace “approved policy document” in the prompt with your real data, then run it.
- 04Review the output and get a human sign-off — this one touches money, staff or compliance.
- 05Track policy comprehension. 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.
- Document storage
- knowledge base
- forms
- HRIS
- BrioHRMalaysian, handles EPF/SOCSO payroll.
- KakitanganMalaysian HR and payroll.
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.
- SSM
- Annual returns, director changes and business detail updates all have deadlines. Late filing carries penalties, and the compound lands on the company.
Links go to each authority’s own site. See all Malaysian authorities.
Data & privacy
This workflow involves staff and customer records named in your policies. 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
- CCTV Notice and Policy Drafting for PremisesTurns your CCTV setup into a notice and policy draft in BM and English.
- Cross-Border Data Transfer Position AssessmentTurns where your data is stored and processed into a position assessment with verification items.
- Customer Consent Record System SetupTurns your data collection points into a consent record system design.
- Customer Data Access Request Response ProcedureTurns where your customer data is stored into an access request response procedure.
All compliance, policies & documentation workflows: Compliance, Policies & Documentation
Maintained by Naven Pillai