24 hours before
Agenda, who is attending, prior notes, open actions, and questions worth asking.
Workflows
AI meeting prep and follow-up: the context before the meeting, then decisions, owners, dates, and open questions after it.
An AI meeting workflow gathers the relevant context before a meeting and turns the notes into decisions, actions, owners, dates, and open questions afterwards. Bumblebee drafts the follow-up and waits for you to approve it before it goes out.
Arrive with the relationship history and unresolved commitments in view.
Leave with decisions separated from discussion.
Send a short follow-up that people can act on.
Agenda, who is attending, prior notes, open actions, and questions worth asking.
Decisions, owners, dates, and open questions pulled from the notes.
You read the follow-up, fix anything unclear, and approve it.
Outstanding actions come back instead of disappearing in a thread.
Every good hand-off has a clear input, a useful output, and a moment where a person checks it before anything happens next.
The agenda, prior notes, attendee history, and open commitments.
Tentative calls are marked open. Owners and dates are never invented.
The recap goes out, actions are tracked, and unresolved work returns.
Things you can read, forward, and act on. Not a vague promise that AI saved you time.
Bumblebee gathers the context, prepares the draft, and keeps the work moving. Decisions with real consequences, including anything sent outside your workspace, wait for you to review and approve.
Read about security and trustFrequently asked questions
No. It works from notes or transcripts you make available through connected sources. Recording is up to your meeting tools.
No. If an owner, deadline, or decision is unclear, the output says so and leaves it for you.
Keeping it short: decisions, owners, dates, and open questions. The discussion stays in the notes.
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Start with something you would recognise as done, check it, and improve it from there.