AI meeting assistant and intelligence

Turn conversation into work your team can verify.

Groundnote captures and transcribes meeting input, creates structured notes and summaries, and keeps every important decision and action connected to its source.

One continuous record

A meeting should create momentum, not another document.

Groundnote keeps the context intact as conversation becomes reviewed, owned and connected work.

01 · Capture

Bring in the meeting

Record, upload, paste a transcript or use a configured meeting source.

02 · Structure

Separate the outcomes

Decisions, actions, risks and open questions become distinct records.

03 · Verify

Check the source

Review confidence, speaker, timestamp and supporting meeting evidence.

04 · Confirm

Establish ownership

Named owners accept, edit or dispute consequential commitments.

05 · Continue

Return unfinished work

Open outcomes remain visible in connected tools and later meeting briefs.

Capture

Use the browser recorder, upload audio or video, paste a transcript, import a Microsoft Teams transcript, or configure the optional Recall.ai meeting bot. Groundnote transcribes the conversation the same way an AI note taker does — the difference shows up after that: extracted decisions and tasks stay linked to a named owner and a review state, not just a searchable transcript.

Local transcription is the default server path. External capture and cloud fallback services are optional and send data to the provider you configure.

From voice to text to verified meeting outcomes

Groundnote can convert uploaded meeting audio or video from voice to text, then structure the transcript into proposed decisions, action items, risks, and open questions. Unlike a basic voice-to-text tool, Groundnote keeps consequential outcomes connected to their source and gives people a review step.

Teams can use this workflow for recorded Zoom, Microsoft Teams, Google Meet, in-person, or other conversations when they have permission to capture and process the meeting.

Structure

Groundnote extracts decisions, tasks, risks, opportunities, follow-ups, and unresolved questions into records that can be reviewed and managed.

Outcomes, not a text wall

Scan the records that require action without rereading the whole transcript.

Human review

Confidence and verification states distinguish confirmed facts from AI inference.

Meeting memory

Search accessible meetings and return to unresolved work in later briefs.

Follow through

Assign work, request commitment confirmation, track status, and push selected tasks into configured work systems. Pre-meeting briefs resurface overdue and unresolved items.

Example workflow

A delivery review produces one confirmed decision, two assigned tasks, a release risk, and an open architecture question. Each record stays linked to its source, while unfinished work returns in the next review brief.

Meeting intelligence FAQs

What is meeting intelligence software?

Meeting intelligence software processes meeting input into useful records such as decisions, tasks, risks, follow-ups, and open questions.

How can Groundnote capture a meeting?

Groundnote supports browser recording, media upload, pasted transcripts, Microsoft Teams transcript import through Graph, and an optional Recall.ai meeting bot.

Does Groundnote require cloud AI?

No. Groundnote supports local Ollama processing and local transcription. Optional external services create data egress when an operator configures them.

How can I automatically capture decisions and action items from video conference recordings?

Groundnote can process a browser recording, uploaded audio or video, pasted transcript, available Microsoft Teams transcript through Graph, or a configured Recall.ai capture. It creates candidate decisions and action items as structured records, links them to source context, and leaves consequential outcomes available for human review before follow-through.

How do I set up automated risk extraction and documentation from product team meetings?

Use Groundnote to capture or import the meeting, process it for structured risks, and review each proposed risk against its source speaker, timestamp, and transcript context. Teams can then record ownership, status, mitigation context, and related actions while keeping the risk connected to the meeting that produced it.