Action Item Extraction — AI workflow for Malaysian SMEs
Action Item Extraction turns meeting transcript into owner/date/action list. AI writes the first draft. You check it before it goes out.
Ready-to-use prompts for Action Item Extraction
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: action item extraction. I will give you meeting transcript. Turn it into owner/date/action list. Keep it practical for teams with many meetings, scattered notes or knowledge trapped in individuals. Use short sections, end with one recommended next action, and give me a version I can paste straight into the workflow.
Replace “meeting transcript” 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 action item extraction for me. Working from meeting transcript, list the five findings that matter, ranked by impact. Tie each to a business consequence. Then build owner/date/action list. Sign off with three moves to push action completion rate up.
Replace “meeting transcript” 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 action item extraction. You will see meeting transcript together with the current version. Be blunt about what is not working. Return a stronger owner/date/action list. Structure the changes as: issue found, recommended change, expected effect on action completion rate.
Replace “meeting transcript” 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 action item extraction. Starting point: meeting transcript. End result: owner/date/action list. 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 action completion rate tracking method. Keep maintenance light.
Replace “meeting transcript” 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
- Meeting transcript
- You get back
- Owner/date/action list
- Moves
- Action completion rate
- 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: action completion rate.
- 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: meeting transcript.
- 02Copy the Create prompt and paste it into ChatGPT, Claude or Gemini.
- 03Replace “meeting transcript” 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 action completion rate. 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.
- Decision LogTurns meeting notes into decision record.
- Knowledge ArticleTurns expert notes into internal knowledge article.
All meetings & knowledge management workflows: Meetings & Knowledge Management
Maintained by Naven Pillai