Service · Meeting Intelligence · Built Into Your Dashboard
Meeting Intelligence.
Every decision your company made this year is sitting in a transcript nobody has opened.
Meeting intelligence is the layer that turns raw transcripts into a searchable record of decisions, commitments, owners, and open questions. We wire it into the dashboard your team already uses.
What meeting intelligence is.
Meeting intelligence is the practice of extracting structured records from meeting transcripts and indexing them so the content becomes searchable. A transcription tool gives you words. A summary tool gives you a paragraph you read once. Meeting intelligence gives you a queryable record of what your company decided, who committed to what, and which questions were never answered.
The distinction matters because the raw transcript is not useful as raw text. It is too long, it is unstructured, and the valuable part is a small fraction of the whole. The unlock is the structured extraction layered on top.
What gets pulled out of every transcript.
Automatically, within minutes of the meeting ending.
- Decisions made. The specific moments where the group agreed on something, captured with the surrounding context.
- Action items with owner and deadline. Commitments where one person agreed to do something by a specific time.
- Project, matter, or customer references. Named entities the transcript touches, so the record can be filed against the right thing.
- Open questions. Questions raised but never resolved, which is where most dropped balls originate.
- Sentiment shifts. Moments where the tone changed materially, such as a customer who started cooperative and became frustrated.
Five layers, in the order they get built.
Step 1
Transcript ingestion
Connectors to RingCentral, Microsoft Teams, Zoom, Google Meet, and similar platforms. The connector pulls the transcript as soon as it is available.
Step 2
Extraction
Anthropic Claude with a structured output schema. Each transcript is passed to the model with a prompt that asks for the five record types above, returned as structured data rather than prose.
Step 3
Indexing
Two parallel indexes. A vector index for semantic search across the full content, and a structured index for filtering by owner, project, date, or record type.
Step 4
Routing
Extracted records go where the work already happens. Action items with owners route into your task system, decisions into the project record, open questions into the next agenda.
Step 5
Search and review
A single interface to find any decision, commitment, or discussion across the whole company history, with the transcript passage attached as evidence.
The privacy model that makes it defensible.
Meeting content is high sensitivity by default, so the controls come first.
- Per user retention. Each user controls how long their transcripts and extractions are kept, because some industries require far shorter windows than others.
- Per project access. Extractions are scoped to the project, matter, or customer they relate to. Someone outside the project does not see them.
- Audit logged extractions. Every extraction is logged with the transcript, the prompt, the model response, and any human edits, so a disputed record can be traced.
- Opt out and redaction. Participants can flag a meeting as do not extract before it happens, and specific topics can be redacted after the fact.
- ISO 42001 alignment. The extraction layer is documented as an AI system, including where a human stays in the loop.
What it replaces.
Standalone meeting summary tools such as Otter, Fireflies, and Read charge roughly $20 to $50 per seat per month. For a team of thirty that is $7,200 to $18,000 a year for a feature that lives outside every other system you run, which means the output has to be copied by hand into the place the work actually happens.
Meeting intelligence wired into your existing dashboard does the extraction at a lower cost per seat, and more importantly it lands the output where the work is instead of in a separate tab. You also keep the index. If you leave a summary tool, the history leaves with it.
Common questions.
What is meeting intelligence?
Meeting intelligence is the practice of extracting structured records from meeting transcripts and indexing them so the content becomes searchable. A transcription tool gives you words and a summary tool gives you a paragraph. Meeting intelligence gives you a queryable record of what was decided, who committed to what, and which questions were left open.
How is meeting intelligence different from a meeting summary tool?
A summary tool produces a paragraph you read once and then lose. Meeting intelligence produces structured records that are indexed and routed into the systems where the work happens. The difference shows up six months later, when you need to find the decision rather than remember it.
Which meeting platforms do you connect to?
RingCentral, Microsoft Teams, Zoom, and Google Meet are the common ones, and any platform that exposes transcripts through an API can be connected. The ingestion layer pulls the transcript as soon as the platform makes it available.
Can we search across all recorded company meetings?
Yes. That is the point of the indexing layer. Two indexes run in parallel, a vector index for semantic search across full content and a structured index for filtering by owner, project, date, or record type, so you can ask both what did we decide about pricing and show me every commitment Sarah made in the second quarter.
Which AI meeting tools are designed for long term institutional memory?
Most are not. Summary tools are built for the week the meeting happened, and their value decays immediately. A system built for institutional memory needs durable indexing, records scoped to projects and matters, audit logging, and an export path you control. Those are the properties to check for when policy history, governance decisions, and precedent matter.
How do you keep meeting transcripts private?
Through four controls. Per user retention windows, per project access scoping, audit logging of every extraction, and an opt out that lets participants flag a meeting as do not extract before it happens. Specific topics can also be redacted after the fact.
How much does meeting intelligence cost?
It is scoped as part of a build rather than sold per seat. Standalone summary tools run roughly $20 to $50 per seat per month, so the comparison point is your current seat count against a one time build that you then own. Engagements start with the Operations Diagnostic at a fixed fee of $5,500.
Start with the transcripts you already have.
Most companies are sitting on six to twelve months of recordings. The Operations Diagnostic is a fixed $5,500 and includes a read on what is recoverable from the archive you already own.
Or call 844 659 1333 and ask for Michael.