Onboarding Knowledge Pack — AI workflow for Malaysian SMEs
Onboarding Knowledge Pack turns role docs and SOPs into new-hire knowledge pack. AI writes the first draft. You check it before it goes out.
Ready-to-use prompts for Onboarding Knowledge Pack
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
I am handing you role docs and SOPs. Produce new-hire knowledge pack from it. This is an onboarding knowledge pack job for teams with many meetings, scattered notes or knowledge trapped in individuals. No padding. Tight sections, a single next action at the end, and a final version I can drop into the workflow as-is.
Replace “role docs and SOPs” 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 my onboarding knowledge pack data. I will give you role docs and SOPs. Pull out the five findings that matter most. Rank or quantify them where the data allows. Explain what each one means for the business. Then produce new-hire knowledge pack. Finish with the top three moves to lift time to productivity.
Replace “role docs and SOPs” 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 onboarding knowledge pack work. I will give you role docs and SOPs plus the current version and its results. Find the weak points. Cut wasted effort. Sharpen clarity and accuracy. Return an improved new-hire knowledge pack. Show each fix as: current issue, recommended change, expected effect on time to productivity.
Replace “role docs and SOPs” 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 onboarding knowledge pack. Starting point: role docs and SOPs. End result: new-hire knowledge pack. Connected systems: Calendar, meeting transcripts, docs, knowledge base, project tools. I need the trigger, field list, AI instruction, decision rules, human approval points, failure handling, stored records and a time to productivity tracking method. Keep maintenance light.
Replace “role docs and SOPs” 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
- Role docs and SOPs
- You get back
- New-hire knowledge pack
- Moves
- Time to productivity
- Run it
- Daily/Weekly
- Priority
- P2
- Works with
- Calendar, meeting transcripts, docs, knowledge base, project tools
Is this for you?
- Pick it for
- Teams with many meetings, scattered notes or knowledge trapped in individuals. 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: time to productivity.
- Reach for it when
- Most SMEs run it daily to weekly. If you are doing it by hand more often, automate it first.
How to run it
- 01Collect the input: role docs and SOPs.
- 02Copy the Create prompt and paste it into ChatGPT, Claude or Gemini.
- 03Replace “role docs and SOPs” 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 time to productivity. 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
- meeting transcripts
- Any tool you already use is fine.
- docs
- knowledge base
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
- Meeting AgendaTurns meeting objective and context into focused agenda.
- Meeting SummaryTurns transcript or notes into summary and decisions.
- Action Item ExtractionTurns meeting transcript into owner/date/action list.
- Decision LogTurns meeting notes into decision record.
All meetings & knowledge management workflows: Meetings & Knowledge Management
Maintained by Naven Pillai
