A meeting ends and, before anyone has closed their laptop, a tidy summary lands in every attendee's inbox. Useful, until it includes an offhand comment about someone's health or assigns a promise to the wrong person.
An AI note taker changes what a meeting leaves behind. You might end up with audio, a transcript, a summary and a searchable record that several other services can read. Before switching it on, decide which of those records you actually need.
Start with one kind of meeting
Pick a specific purpose, such as recording actions from a weekly project call. Avoid approving a bot to join every event in everyone's calendar.
Write down what a useful result would contain. For an ordinary progress meeting, that might be decisions, action owners and due dates. You may have no reason to keep a recording once those points have been checked.
Set aside meetings that need a separate decision. Grievances, recruitment interviews, health discussions and confidential negotiations shouldn't inherit approval just because they use the same video platform. Give the organiser an ordinary note-taking option when recording isn't suitable.
Follow the information beyond the call
Run a fictional meeting before using the service on real work. Try a harmless discussion about organising an imaginary office lunch, with made-up attendees and no customer details.
Then follow the results:
- Where do the audio, transcript and summary appear?
- Who receives an email or a sharing link automatically?
- Can everyone invited to the meeting see them, including people who didn't attend?
- Can an external guest forward a working link?
- Does the bot copy action items into another application?
- Who can delete each record, and what does deletion actually cover?
Try viewing the result through a guest account or an approved test account with less access. A successful check from the organiser's account tells you little about what other people can open.
Ask the supplier about retention, training use, subprocessors and where information is processed. Get answers for your actual subscription and settings. Keep them with your AI inventory, along with any unanswered questions that prevent approval.
Check the privacy basis before inviting the bot
Using AI doesn't automatically mean you must collect fresh consent. The ICO's advice on meeting recordings and notes explains that existing lawful bases may still apply where the purposes and processing activities haven't changed and the other conditions in its example are met.
That is a reason to assess the actual arrangement. It isn't blanket permission for a new recording service. Identify the purpose and lawful basis for each activity, including any separate supplier use. Special category information, such as health details, needs an appropriate additional condition. Explain the processing to people before it begins.
If you rely on consent, a notice that recording has started isn't itself consent. People need the genuine choice that the ICO's consent guidance describes.
Check whether a data protection impact assessment is required. The ICO's DPIA guidance explains the high-risk triggers. Document the assessment before introducing the tool, rather than waiting for somebody to object.
Make the meeting notice useful
Give attendees enough information to decide what to share and whom to contact. Our suggested invitation wording should answer four questions in plain English: what is recorded, why, who receives it and how long it stays.
For example, an imaginary project team might explain that its approved service makes a draft transcript for checking action points, with access limited to the project team. The retention period and privacy link would need to match the real arrangement.
At the start, confirm that the tool is present. Check late arrivals can also see the notice. Don't let a friendly bot name suggest that a person is taking the notes.
This practical introduction isn't a conclusion about the EU AI Act. Article 50 has specific duties for particular systems and roles. Ordinary transcription doesn't automatically create every AI disclosure duty. Assess the actual features, especially if the assistant also talks to participants or analyses them.
Stop a draft becoming the official record too soon
Choose a person to check the summary before it is circulated or copied into business systems. Ask them to look at decisions, amounts, deadlines and who agreed to do what.
Consider a fictional discussion where someone says, “We could deliver on Friday if the parts arrive.” A summary that says “Delivery confirmed for Friday” has removed the condition. The reviewer needs to compare the relevant exchange, not merely decide whether the summary reads well.
Give attendees a simple route to correct an error. Keep the accepted notes in one agreed place so an inaccurate draft doesn't continue circulating beside the correction.
Leave the organiser in control
Before approving the service, practise stopping it halfway through a call. Check whether that stops recording, transcription and automatic follow-up messages, or only one of them.
Disable automatic attendance for meetings outside the agreed purpose. Name someone who can remove the calendar connection if a user leaves or the service behaves unexpectedly.
Review the first few approved meetings with the organisers. If checking the transcript and managing the extra records takes longer than making ordinary notes, keep the simpler method for that meeting type. The useful outcome is a reliable record of what people agreed.