Organise your meeting minutes with ChatGPT
Learning Pathway:
AI 201: ChatGPT in Everyday Tasks
17 June 2026
Learn how to turn messy meeting notes into clean, circulation-ready minutes in minutes.
.png)
Today's Exercise
Writing minutes after a meeting is usually a time-consuming and manual process. AI can help to convert raw meeting notes into clear, structured minutes.
Let's generate meeting minutes from raw notes in 3 simple steps:
Prepare your raw notes
Generate the draft minutes
Review the draft
Here's what you need for this exercise:
Tools and Input required
🛠️ Tool | ChatGPT Enterprise (WOG) |
🔗 Feature | File Upload |
📂 Your input | Raw notes, Sample of past approved minutes |
Step 1: Gather your notes
Record your Microsoft Teams meetings to automatically generate a transcript.
☑️ Prepare the raw notes or transcript from your meeting. You can use a tool like GovTech's Transcribe (opens in new tab), or record your Microsoft Teams meetings to generate transcripts.
For practice, you can copy the sample notes below.
Sample Notes: Tender evaluation discussion
Tender Eval mtg 14 jun, MR 4.2, ~2.30pm. present: Priya (chair, Procurement), Daniel (IT), Mei Ling (Finance), Hafiz (User Dept/Ops), Sarah (Legal) joined late. apologies: Wei (away)
re: ITQ for managed helpdesk svc, 3 yr. 4 bids in. shortlist down to 3 after compliance check - VendorA, VendorB, VendorC. VendorD knocked out (missed mandatory ISO cert, non-compliant).
pricing - VendorA cheapest ~$1.42m total, VendorB ~$1.58m, VendorC ~$1.69m. Mei Ling flagged VendorA pricing looks low on Yr1, possible lowballing, manpower rates below market? need clarification. action - Priya to send clarification q to VendorA.
technical - Daniel scored VendorB highest on technical (SLA 99.9%, local L2 team, strong transition plan). VendorA technical ok but transition plan thin, only 2 wks onboarding, Hafiz worried that's too short given our ticket volume. VendorC strong on tooling but proposed offshore L1 - data residency concern, Sarah to advise whether that breaches our data classification reqs.
discussion - Hafiz strongly prefers B on service quality, willing to pay premium. Mei Ling cautioned must justify not picking lowest price, need clear value-for-money writeup. agreed evaluation must follow PQ then price-quality 60/40 weighting as per tender doc.
decisions: VendorD confirmed non-compliant & excluded. proceed to clarification round with VendorA (pricing) and VendorC (data residency) before final scoring. final scoring meeting to be set next week.
actions - Priya: send clarifications to A and C by 17 jun. Sarah: advise on offshore L1 data residency by 18 jun. Daniel: finalise technical scores once clarifications in. Mei Ling: prep value-for-money template. Hafiz: confirm current monthly ticket volume figures for transition assessment.
risk - timeline tight, contract must be awarded before current vendor contract expires end Aug. if scoring slips we may need bridging arrangement. Priya to check bridging options w current vendor as contingency.
next mtg: 23 jun (tbc), final scoring + recommendation to approving authority.
Step 2: Generate the draft minutes
Enter the prompt into a new chat
☑️ Go to ChatGPT enterprise (opens in new tab), and ask to turn your raw notes into meeting minutes. You can use the prompt below.
Ready-to-use prompt
You are a Meeting Minutes Writer for [your team / committee e.g. "the Tender Evaluation Committee"]. Your role is to transform raw meeting notes into professional meeting minutes.
Follow these rules:
Use only information provided in the notes. Do not invent decisions, actions, or attendees.
Consolidate duplicate points and remove conversational repetition.
If information is missing, indicate "[Not stated]".
Format every meeting using the structure below:
Meeting Details: Date, Title, Chairperson, Attendees
Key Discussion Points: (grouped by topic)
Decisions Made: (bullet points)
Action Items: (table with Action, Owner, Due Date)
Risks or Issues Raised: (bullet points)
Here are the raw notes: [paste your notes here]
☑️ Upload your team's past meeting minutes as reference, as well as the transcript itself.
☑️ ChatGPT will generate the minutes from the raw notes, according to your template.
Step 3: Review the draft
☑️ Review the draft and ensure accuracy.
Optional: Save as a reusable skill
☑️ You can ask ChatGPT to 'save this as a reusable skill', and ChatGPT will package your prompt and minutes template as a reusable skill that you can install.
☑️ The next time you need to generate meeting minutes, start a new chat and type '@[name of your skill]' to invoke the reusable skill.
Now it's your turn to try!
Take 10 minutes to generate a clean and concise set of minutes, ready to be circulated.
📂 Prepare your raw notes and templates. If possible, prepare a set of meeting notes that were already approved to help the AI align the tone and exact format that is expected.
⚡ Review Critically. Never let AI invent points. Ensure that it did not miss anything.
🔍 Test and Share. If this worked well for you, consider saving the workflow as a Skill and sharing it with others.
You've just cut hours of work producing a clean and concise set of meeting minutes, ready to be circulated.