✍️Xavier Vincent

Use AI to fix your team meetings: less time wasted, clearer decisions

Do you feel you spend your life in meetings… without seeing much progress? Vague decisions, forgotten actions, late minutes, the same topics coming back every week… For an SME, this wastes time, energy and motivation.

The good news: you don’t need new software or technical skills to fix most of these issues. By combining a simple method with AI as an assistant, you can turn your team meetings into short, focused sessions that lead to clear decisions.

In this article, we’ll look at how to use AI to prepare, run and follow up on your team meetings step by step, without overhauling your organisation.

1. Why your meetings go off track (and how AI can help)

Before talking about tools, let’s look at the very concrete problems most SME teams face:

  • Meetings are too long and poorly framed
  • The agenda is vague or missing
  • No one is clearly in charge of taking notes
  • Decisions are made verbally but never written down
  • Follow-up is based on memory and good will

As a result:

  • You keep revisiting the same topics
  • Priorities get mixed up
  • People feel they are “enduring” meetings rather than driving them

The goal is not to have more meetings, but fewer, better structured ones that lead to clear decisions and actions.

AI can play three simple roles, using mainstream tools you probably already have access to:

  1. Prepare: turn a messy list of topics into a structured agenda.
  2. Capture: help you turn rough notes into a clear summary.
  3. Follow up: organise actions, owners and due dates in your usual tools.

2. A simple AI-augmented meeting flow

The point is not to automate everything, but to delegate the repetitive and time-consuming bits to AI.

Here is what an “AI-augmented” team meeting flow can look like:

Rendering diagram...

In practice:

  • You remain 100% in charge of decisions.
  • AI helps format, clarify and organise information.
  • Actions end up in the tools you already use (spreadsheet, task manager, CRM, project tool…).

3. Before the meeting: 10-minute agenda building with AI

Many meetings fail before they even start, simply because they are not prepared. You can standardise a very light routine.

3.1. Start from a raw list of topics

Two days before the meeting, gather into one document or email:

  • Topics raised by the team
  • Blockers to be solved
  • Decisions that need to be made
  • Information that must be shared

This list can be messy; that’s fine.

3.2. Ask AI to structure the agenda

Paste this list into an AI assistant (ChatGPT or similar) and ask, in plain language:

“Based on this list of topics, suggest an agenda for a 45-minute team meeting, with: objectives, estimated time per item, key questions and expected decisions.”

You’ll get:

  • A clear agenda
  • A realistic duration
  • A list of decisions to make, which you can check

You then adjust manually according to your priorities.

3.3. Share the agenda in advance

Send the agenda to your team, including:

  • The objective of the meeting
  • The expected duration
  • The decisions each person should prepare for

Participants show up more prepared, and AI just saved you 20 to 30 minutes of formatting work.

4. During the meeting: capture only what really matters

You don’t need a novel as meeting minutes. What matters is:

  • The decisions you made
  • The actions to be taken
  • Who does what by when

4.1. Pick a single place for your notes

Decide on a single, shared location:

  • A shared document (Google Docs, Notion, OneNote…)
  • A task management tool (Trello, Asana, ClickUp…)

The key is that everyone can access it.

4.2. Use AI to turn rough notes into a clear summary

During the meeting, jot down:

  • Key sentences
  • Decisions that are clearly stated
  • Actions people commit to

Right after the meeting (or during a short break), paste these rough notes into an AI assistant and ask:

“From these messy notes, generate a very concise summary with 3 sections: 1/ Decisions, 2/ Actions with owners and due dates, 3/ Open points. Maximum one page.”

In a few seconds, you get:

  • A readable summary
  • A ready-to-use action list you can plug into your tools

You remain free to correct anything that doesn’t sound accurate.

5. After the meeting: turn decisions into real follow-up

This is where many meetings fail: no systematic follow-up.

5.1. Centralise actions

From the list generated by AI:

  • Create or update tasks in your usual tool
  • Clearly define one owner and one target date per action

You can ask AI:

“Turn this list of actions into a table with columns: Action, Owner, Target date, Status (To do / In progress / Done).”

Then copy-paste this table into your tool (spreadsheet, task manager…).

5.2. Automate simple reminders

Without changing tools, you can:

  • Use built-in reminder features (in your calendar or task app)
  • Create a weekly view “Actions from team meetings”
  • Receive an automatic weekly recap email (via no-code tools if needed)

The goal is to stop relying on individual memory.

5.3. Prepare the next meeting in 5 minutes

Before the next meeting, you can:

  1. Export the list of open actions.
  2. Paste it into an AI assistant and ask:

“From this list of actions and their status, suggest the 5 priority items we should cover in our next team meeting.”

  1. Use this as the starting point for your new agenda.

You now have a simple loop, without any complex project.

6. Practical guide: run your first AI-augmented meeting

Here is a short, actionable framework to test this on one single team meeting.

Step 1 – Pick a pilot meeting

  • A regular team meeting (weekly or bi-weekly)
  • 45 to 60 minutes
  • 4 to 8 participants

Step 2 – Standardise a simple template

Create a single template with 3 blocks:

  • Meeting objective
  • Agenda
  • Decisions & actions

Keep the same document structure each time and duplicate it.

Step 3 – Use AI before the meeting (10 minutes)

  1. List all topics in raw form.
  2. Ask AI to suggest a structured agenda.
  3. Adjust and send it to the team.

Step 4 – Use AI after the meeting (15 minutes)

  1. Copy your rough notes.
  2. Ask AI to generate:
    • a short summary
    • an action list in table format
  3. Edit anything that needs correcting.

Step 5 – Organise follow-up

  1. Enter the actions into your task or project tool (or a spreadsheet).
  2. Set up simple reminders.
  3. Before the next meeting, ask AI to prioritise open items.

Within 2 to 3 weeks, your team will get used to a clearer, lighter format, without extra admin work.

Conclusion

By using AI as an assistant for preparation, synthesis and follow-up, you can:

  • Shorten your meetings
  • Leave with clear decisions and actions
  • Reduce forgotten tasks and repeated debates
  • Give your teams a more predictable framework

You don’t need new tools or a big “AI project”. Start with one pilot meeting, standardise your template, then let AI help you with formatting and follow-up.

If you’d like support to structure your team rituals and introduce AI into your management practices, Lyten Agency can help you identify the right use cases and set up simple automations tailored to your SME. Contact us for a free assessment.