Meeting Intelligence, AI meeting notes your company can ask
Meeting Intelligence is live transcription in UniversalContext that names every speaker and turns each meeting into assigned action items. When the meeting ends, each one already has an owner and a date. Every transcript joins the UniversalContext Map, so months later anyone can ask what was agreed and get the exact words.
Transcribed as you talk
Live transcription, with every speaker named.
Action items, already assigned
Owners and dates when the meeting ends, for each owner's yes.
Decisions, with who agreed
What was decided, the person who said it, and when.
Askable months later
Every transcript feeds the Map. Ask, and get the exact words.
Why does everyone leave the same meeting remembering a different one?
Because the record of a meeting is whatever someone managed to type while trying to listen.
Last Tuesday's kickoff notes say "discussed timeline." Three people remember it three ways, the client remembers a fourth, and nobody is sure who said they would call the city. When the date comes up again in March, the only exact record is the client's.
What do people go back to a meeting to find?
Try it: pick a question
The client's own words at 12:41 of the kickoff, and the change order that has moved the date since.
Each decision with the moment it was taken and who proposed it, ready for the minutes.
Every mention across the year's recorded calls, each with the speaker and the timestamp.
How does an hour of talk become owned work and a record you can ask?
- Step 01
Transcribe it live
The meeting starts and transcription runs live. Every word is captured and every speaker is named, so the transcript reads Maya and Rosa, not Speaker 1 and Speaker 3.
- Step 02
Assign the action items
The meeting ends and the action items are already pulled out, each with an owner and a date. They wait as tasks for each owner's yes, so nobody is handed work they never agreed to.
- Step 03
Keep what was decided
What was agreed is set down as a decision, with the person who said it and the moment they said it. When the date is questioned in March, you open the line, not a memory.
- Step 04
Ask about it months later
The transcript feeds the UniversalContext Map, beside the client, the project, and the documents it concerns. Ask Nirah what was promised and the answer quotes the exact words, with the meeting and the timestamp as its source.
What does a meeting leave behind that it never did before?
Names, not speaker numbers
The transcript does not say Speaker 3. It names the person, so when Tom says he will handle it, the action item already has its owner.
Every meeting, in the same Map
Each transcript joins the UniversalContext Map, related to the client, the project, the people in the room, and the documents they discussed. Institutional memory is built from conversations, not only from the documents that get filed.
Every mention, across every meeting
Search a topic across every recorded meeting at once. Each mention comes back with the meeting, the speaker, and the timestamp, so a timeline that took a week of listening takes one question.
Checked against what was signed
Once the transcript is in the Map, a promise made in the room is checked against the signed documents. You said Monday. The agreement says Friday. It is flagged before anyone acts on it.
How is Meeting Intelligence different from note-taker apps, video-call transcripts, and notes by hand?
Compare Meeting Intelligence with
- Meeting Intelligence
- Live transcription and post-meeting intelligence in UniversalContext, with every transcript feeding the UniversalContext Map.
- Meeting note-taker apps
- A dedicated AI app that joins or records your meetings and produces a transcript, a summary, and action items for each one.
Every word, with speakers named
- Meeting Intelligence
- Full:Transcribed live, with every speaker identified by name
- Meeting note-taker apps
- Full:The category's core: a full transcript with each speaker labeled
Action items with owners and dates
- Meeting Intelligence
- Full:Owners and dates when the meeting ends, waiting as tasks for each owner's yes
- Meeting note-taker apps
- Full:The category's core: action items pulled from each meeting
Decisions, with who agreed and when
- Meeting Intelligence
- Full:Each decision with the speaker and the moment, kept in the Map
- Meeting note-taker apps
- Partial:Often listed in the summary of that meeting
Search across every meeting
- Meeting Intelligence
- Full:Ask Nirah across every transcript, with the timestamp as the source
- Meeting note-taker apps
- Full:Search and AI chat across every meeting the app recorded
Connected to your documents, clients, and projects
- Meeting Intelligence
- Full:Every transcript in the UniversalContext Map, related to the clients, projects, and documents it concerns
- Meeting note-taker apps
- Partial:Links to the calendar and the CRM through integrations
What was said, checked against what was signed
- Meeting Intelligence
- Full:Flagged against the signed documents once the transcript is in the Map
- Meeting note-taker apps
- None:Each meeting is summarized on its own
- Meeting Intelligence
- Live transcription and post-meeting intelligence in UniversalContext, with every transcript feeding the UniversalContext Map.
- Transcription built into a video-call platform
- The transcript and AI recap a video-call platform produces for the calls held on that platform.
Every word, with speakers named
- Meeting Intelligence
- Full:Transcribed live, with every speaker identified by name
- Transcription built into a video-call platform
- Full:Every word said on the platform's own calls, with speakers named
Action items with owners and dates
- Meeting Intelligence
- Full:Owners and dates when the meeting ends, waiting as tasks for each owner's yes
- Transcription built into a video-call platform
- Partial:Next steps in the AI recap, on plans that include it
Decisions, with who agreed and when
- Meeting Intelligence
- Full:Each decision with the speaker and the moment, kept in the Map
- Transcription built into a video-call platform
- Partial:Sometimes named in the recap
Search across every meeting
- Meeting Intelligence
- Full:Ask Nirah across every transcript, with the timestamp as the source
- Transcription built into a video-call platform
- Partial:Search within the platform's recordings; varies by plan
Connected to your documents, clients, and projects
- Meeting Intelligence
- Full:Every transcript in the UniversalContext Map, related to the clients, projects, and documents it concerns
- Transcription built into a video-call platform
- Partial:Within the vendor's own mail, files, and chat
What was said, checked against what was signed
- Meeting Intelligence
- Full:Flagged against the signed documents once the transcript is in the Map
- Transcription built into a video-call platform
- None:The recap covers the call itself
- Meeting Intelligence
- Live transcription and post-meeting intelligence in UniversalContext, with every transcript feeding the UniversalContext Map.
- Notes taken by hand
- What someone types or writes during the meeting and shares afterward.
Every word, with speakers named
- Meeting Intelligence
- Full:Transcribed live, with every speaker identified by name
- Notes taken by hand
- None:What the note-taker caught while listening
Action items with owners and dates
- Meeting Intelligence
- Full:Owners and dates when the meeting ends, waiting as tasks for each owner's yes
- Notes taken by hand
- Partial:What was written down, with an owner if someone noted one
Decisions, with who agreed and when
- Meeting Intelligence
- Full:Each decision with the speaker and the moment, kept in the Map
- Notes taken by hand
- Partial:When someone writes the decision down
Search across every meeting
- Meeting Intelligence
- Full:Ask Nirah across every transcript, with the timestamp as the source
- Notes taken by hand
- None:Scattered across notebooks, files, and inboxes
Connected to your documents, clients, and projects
- Meeting Intelligence
- Full:Every transcript in the UniversalContext Map, related to the clients, projects, and documents it concerns
- Notes taken by hand
- None:A file in a folder, related to nothing
What was said, checked against what was signed
- Meeting Intelligence
- Full:Flagged against the signed documents once the transcript is in the Map
- Notes taken by hand
- None:Only if someone remembers the contract
| Meeting note-taker appsA dedicated AI app that joins or records your meetings and produces a transcript, a summary, and action items for each one. | Transcription built into a video-call platformThe transcript and AI recap a video-call platform produces for the calls held on that platform. | Notes taken by handWhat someone types or writes during the meeting and shares afterward. | Meeting IntelligenceLive transcription and post-meeting intelligence in UniversalContext, with every transcript feeding the UniversalContext Map. | |
|---|---|---|---|---|
| Every word, with speakers named | Full:The category's core: a full transcript with each speaker labeled | Full:Every word said on the platform's own calls, with speakers named | None:What the note-taker caught while listening | Full:Transcribed live, with every speaker identified by name |
| Action items with owners and dates | Full:The category's core: action items pulled from each meeting | Partial:Next steps in the AI recap, on plans that include it | Partial:What was written down, with an owner if someone noted one | Full:Owners and dates when the meeting ends, waiting as tasks for each owner's yes |
| Decisions, with who agreed and when | Partial:Often listed in the summary of that meeting | Partial:Sometimes named in the recap | Partial:When someone writes the decision down | Full:Each decision with the speaker and the moment, kept in the Map |
| Search across every meeting | Full:Search and AI chat across every meeting the app recorded | Partial:Search within the platform's recordings; varies by plan | None:Scattered across notebooks, files, and inboxes | Full:Ask Nirah across every transcript, with the timestamp as the source |
| Connected to your documents, clients, and projects | Partial:Links to the calendar and the CRM through integrations | Partial:Within the vendor's own mail, files, and chat | None:A file in a folder, related to nothing | Full:Every transcript in the UniversalContext Map, related to the clients, projects, and documents it concerns |
| What was said, checked against what was signed | None:Each meeting is summarized on its own | None:The recap covers the call itself | None:Only if someone remembers the contract | Full:Flagged against the signed documents once the transcript is in the Map |
Compared by category, as of November 2026. Products within a category vary; each cell says how.
Security under every conversation Your Key, Your Data, Your Control
How security works- Per-organization encryption keysYour data is encrypted with a key no other customer shares.
- Role-based access controlPeople see what they are cleared to see, and so do the agents.
- Zero data retention for AI trafficYour queries never touch a third party's logs.
- Crypto-shreddingDelete the key and every document becomes unreadable, after a recovery window.
What works with Meeting Intelligence
- Impact First
Tasks
Where the action items land, each waiting for its owner's yes.
- Your Company's AI
Nirah
Ask what was agreed in any meeting, and get the exact words with the timestamp.
- Relationships, Discovered
UniversalContext Map
Where every transcript goes, related to the clients, projects, and documents it concerns.
Questions about Meeting Intelligence
Updated
Who decides whether an action item becomes a task?
The person it is assigned to. Action items arrive with an owner and a date, and those drawn from a meeting wait for their owner's approval before they become work on anyone's list.
Does the transcript name the speakers?
Yes. Every speaker is identified by name, not by number, so when someone says they will handle it, you know who owns it.
Where does a transcript go after the meeting?
Into the UniversalContext Map, related to the clients, projects, people, and documents it concerns. Institutional memory is built from every conversation, not only from the documents that get filed.
Can I find what someone said months ago?
Yes. Ask Nirah, and the answer quotes the exact words, with the meeting and the timestamp as its source.
Who can read a meeting's transcript?
Transcripts follow the same role-based access as the rest of the platform. Each person, and each agent, reaches only what their access allows, and AI traffic runs under zero data retention.
See Meeting Intelligence on your own kind of data
One conversation, a demo environment built on mock data modeled on your organization, and two weeks inside it to decide.