AI meeting minutes

AI meeting minutes your team checks before they go out

Minutes are slow to write because the record is spread across a transcript, your own annotated notes and the drawings that were discussed. We set up a workflow that pulls those sources into draft minutes and an action list, and a person reviews the result before it goes anywhere.

A site team around a table covered in printed drawings, one person pointing at a drawing while another types on a laptop, Table Mountain through the window

Where this time goes

  1. Three sources, one record

    The transcript, your annotated notes and the supporting drawings each hold part of the story, and someone reconciles them by hand.

  2. Sorting the outcomes

    What was decided, what must now be done and what is still unresolved all have to be separated before the minutes make sense.

  3. A second job for the actions

    The action list gets written as its own piece of work after the minutes.

  4. Doubts left unmarked

    A detail you are unsure of reads like any other detail, so the reader cannot tell what to confirm.

How the workflow runs

  1. Gather the sources. The meeting transcript, your annotated notes and any supporting drawings.
  2. Reconcile them. A process compares the sources with each other, so the record does not rest on only one of them.
  3. Organise the outcomes. Decisions, actions and unresolved questions are sorted into their own lists.
  4. Draft the record. Draft minutes and an action list are prepared, with uncertain details flagged.
  5. A person reviews. A named person reads the draft, checks the flagged details, corrects what is wrong and decides what is issued.

Example

Our own practice · internal use

Meeting records, drafted for the project manager

Build with AI’s founder has worked in construction since 2007. This workflow was built for our own construction project management practice and is used internally. It is not a client engagement.

The task was to turn a meeting transcript, annotated notes and supporting drawings into a usable record. We built a process for reconciling the sources and organising decisions, actions and unresolved questions. The result is draft minutes and an action list prepared for the project manager’s review, with uncertain details flagged.

This describes what was built, not measured results.

A site team around a table covered in printed drawings, one person pointing at a drawing while another types on a laptop, Table Mountain through the window

What stays with your team

  • The review

    A person reads every draft. Nothing is issued until it has been checked.

  • The flagged details

    Someone confirms the points the draft marked as uncertain.

  • The record itself

    The draft is a starting point. People decide what goes into the minutes.

  • Professional sign-off

    Work requiring professional sign-off remains with the authorised person.

Questions

Who checks AI meeting minutes?
A person on your team. The workflow prepares draft minutes for review and flags uncertain details. AI can make errors or miss context, so nothing is issued until a person has checked it.
What if the transcript and my notes disagree?
That is what the reconciling step is for. The draft flags details it is unsure of, and the person reviewing decides what is correct.
How is meeting content handled?
We scope authorised sources, access limits, approval points and human review. Data handling and platform suitability must be checked for the specific use. These controls do not guarantee compliance or replace professional judgement.

Start with this task.

Build with AI sets up AI workflows, with practical lessons for the team, for owner-led businesses in Cape Town and across South Africa.

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