What should you check before sharing AI meeting notes?
Treat the automatic summary as a draft
AI can organise meeting discussion, but fluent wording may not match what participants actually agreed. Microsoft advises checking AI-generated Teams recap content because it may be inaccurate. An organisation should therefore check more than spelling: distinguish proposals from agreed decisions and identify who must confirm the draft before it becomes the team's task list.
Check the permitted source material first
Use recordings or transcripts permitted under the organisation's policies and the meeting's access arrangements. Check coverage of the relevant discussion, language changes and gaps in audio. If the source is incomplete, state that limitation rather than asking the system to fill in missing events. Do not upload sensitive files to a new tool simply because it accepts them, or assume every attendee may receive the entire file.
Separate proposals from agreed decisions
Pay particular attention to negatives, conditions and tentative statements. Asking someone to compare suppliers does not itself approve a supplier. Link important points to a timestamp or source passage that can be checked. If the speaker or conclusion remains unclear, mark it for confirmation instead of guessing a name or decision. A neat table should not conceal uncertainty in the evidence.
Do not invent task owners or deadlines
For example, suppose participants say: obtain a quotation for review before Friday. Keep both the quotation task and that timing condition; do not turn it into an instruction to purchase on Friday. If nobody is explicitly assigned, mark the owner as awaiting confirmation too. Distinguish dates of past events, the next meeting and task deadlines before transferring items to a system that may issue real notifications or assignments.
Have people review and retain the confirmed version
Designate a reviewer, such as the meeting organiser, and ask affected task owners to confirm their items before circulation. Keep the draft separate from the confirmed version, recording revision dates and changes. If a decision or deadline changes later, make the replacement version clear to recipients. Begin automation by producing a reviewable draft, with an approval step before it emails everyone or creates their tasks.
Pilot against checks the team can perform
Start with authorised examples that contain no confidential material unsuitable for the trial. Have reviewers count missed tasks, incorrect owners, wrong dates and lost conditions before designing handoffs in the real workflow. When discussing AI/Automation with Chawinnix, bring examples of meeting formats and desired outputs with unnecessary information removed, so system scope and reviewer responsibilities can be agreed. Do not assume any tool will summarise correctly every time.
