Your meeting data is processed on-premises. Decisions land in your inbox.
Butterfly Note Taker joins Teams, Zoom and Google Meet meetings from your calendar, transcribes conversations in Turkish and, when the meeting ends, emails participants the summary, decisions and action items. In an on-premises deployment, audio processing, transcription and summarization run on your own servers and AI infrastructure.
Joins the meeting on the calendar · transcribes conversations · extracts decisions and action itemsRepresentative flow · fictional people
Problem
Make meeting decisions findable after the meeting, too.
A decision is made in a meeting. Two weeks later, the team is digging through email and chat history to find the conditions behind the decision or what the next step was.
And when conversations are subject to internal data policies, using an external meeting notes service may not be an option.
For participants
A shared summary in your inbox as soon as the meeting ends.
Decisions and action items, with owners and due dates, go to participants by email; everyone works from the same summary.
For the organization
Recordings and summaries build up in one place.
Past meetings can be found by date, meeting and participant, and you can find which meeting a decision was made in.
How does it work?
From calendar invite to meeting record.
From the calendar
Speaker and transcript
Decisions and action items
Decisions
Meetings come from the calendar: platform, start time, status and source
Real Butterfly screens · sample meeting data
Which teams is it for?
Teams whose meetings must stay on-premises.
Banking and insurance
Information security, IT infrastructure, operations and project managementWhy? ↻
Why?
Information security policy often prevents meeting audio and decisions from leaving the organization, so external note-taking services can’t be used.
What it does
Process meeting content on the organization’s own infrastructure and find operational decisions later.
Information security, IT infrastructure, operations and project management
Public sector and state-owned companies
IT, coordination and project teamsWhy? ↻
Why?
Meeting records are expected to stay on the organization’s own infrastructure; when the same topic resurfaces weeks later, you need to get back to the earlier decision quickly.
What it does
Recall decisions from internal project and coordination meetings in later discussions.
IT, coordination and project teams
Pharmaceuticals
Quality, regulatory and operations teamsWhy? ↻
Why?
Decisions and action items from quality and regulatory meetings must be traceable; in an audit, you need to show who decided what.
What it does
Return to decisions and action items from quality and project meetings through a shared summary.
Quality, regulatory and operations teams
From the field
At a bank, meeting recordings and transcripts are produced inside the bank’s network.
The bank needed meeting data to stay inside its network. So Note Taker was deployed fully on-premises, on the bank’s own server: the bot joins Teams meetings from the bank network, keeps the recording on the bank’s server and transcribes the conversation with a speech recognition model on the bank’s own AI infrastructure.
Meeting audio and transcripts never leave the organization’s network.
The organization’s existing AI investment is reused; no separate cloud subscription is needed.
The IT team manages the installation to its own server standards.
What do participants receive when the meeting ends?
The meeting summary, decisions made and action items are sent by email.
Can we go back to past meetings?
Recordings and summaries accumulate in Butterfly. You can find past conversations in this archive by date, meeting and participant.
Can it be deployed on-premises?
Yes. The bot, recording and processing can run on your organization’s servers; the organization’s own AI infrastructure can be used for audio processing and summarization.
Let’s look at where your meeting data is processed, together.
Let’s discuss how the bot joins, the post-meeting email and the on-premises deployment model, based on the meeting platform you use and your infrastructure requirements.
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Speaker and transcript
Decisions
