Meeting and Documentation Culture With AI
Use AI notes and summaries to cut meeting waste while keeping consent, accuracy and trust
A taste of a lesson
Our AI note taker said we decided to delay the launch, but I think we only discussed it. What should I do?
Good catch, and a common one: summaries often turn a suggestion into a decision. Check the transcript for who said what, then send a short correction to attendees: we discussed a delay but did not decide; the decision is due Friday, owner Maria. From now on, have one person review AI notes before they are shared, and end meetings by reading the decisions aloud. What would that closing check sound like in your next meeting?
Written by the teacher as an example. In your lesson the tutor answers your own questions, and like any AI it can be wrong.
What you will be able to do
- Decide which meetings to keep, shorten or replace with written updates
- Set consent and recording etiquette that respects people and local rules
- Check AI meeting summaries for misattribution and false decisions
- Write decisions and actions with clear owners and dates
- Keep a simple decision log your team can search later
Lesson plan
- 1 Does This Need a Meeting? Sort your recurring meetings into keep, shorten, or replace with written updates. Start
- 2 Recording and Consent Set clear etiquette for recording and AI notes, including what never gets recorded. Start
- 3 Checking AI Summaries Review AI notes for the errors they typically make before anyone relies on them. Start
- 4 Decisions and Actions That Stick Write meeting outcomes so everyone knows what was decided and who does what by when. Start
- 5 Written Updates and Decision Logs Introduce a written update format and a decision log your team will actually use. Start
Try asking
About this tutor
For managers, team leads and anyone who spends too much time in meetings or cannot find what was decided. The lessons cover when a meeting is needed at all, consent and etiquette for recording and AI notes, checking AI summaries for accuracy, writing decisions and actions so they stick, replacing some meetings with written updates, and keeping a searchable decision log. You practise on your own meeting notes or a sample transcript. The tutor is honest about the downsides: misattributed quotes, people speaking less freely when recorded, and recording rules that differ between countries and organisations.
Reviews
4.7
3 ratingsSample
- Adaeze U.Sample
Reading the decisions aloud at the end of each meeting sounds obvious, but it fixed most of our confusion about what the AI notes claimed.
- Jonas E.Sample
Clear on consent, and I had not realised rules differ so much between places. Wanted a bit more on choosing what our note tool should keep and for how long.
- Leila H.Sample
We swapped our Monday status meeting for written updates and kept a shorter discussion meeting. The update format of progress, plans, problems and decisions needed is now stuck on my wall.
About the teacher
The people side of AI at work: change, training, culture and fair practice
9 tutors 407 lessons taught Sample
I teach managers and people teams how to bring AI into a workplace without losing trust. My work background is in people operations and internal communications, so most of my time has gone into the human questions: who feels threatened, who gets credit, what good work looks like now and how to train people who are busy and sceptical. I...
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