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Meeting Intelligence Stack

Recorder → transcript → structured notes → CRM update. The pipeline that attends your meetings' paperwork.

AI Builder · Advanced · 15 min read · 4 quiz questions

By Ronan Liedmeier, fractional head of growth and course author · Reviewed 13 October 2026

What you will learn

  • The stack layers
  • Capture choices and consent
  • The extraction schema
  • Distribution
  • The human gate

Lesson preview

A meeting intelligence stack chains capture, transcript, extraction, and distribution so that decisions, actions, and follow-ups come out of every meeting automatically instead of depending on someone's memory. The stack automates preparation; a human still approves anything that leaves the building or changes a system of record. A meeting intelligence stack has four layers in sequence: capture, where audio or video is recorded; transcript, where that recording becomes text; extraction, where structured information is pulled from the transcript; and distribution, where that structured information reaches notes, tasks, and CRM records. Each layer is replaceable independently — you can swap a recorder or a transcription tool without touching the extraction template that defines what matters about your meetings. Capture can come from native meeting-app recording, a dedicated notetaker bot that joins the call, or local recording from your own device. Each has trade-offs in fidelity and convenience, but all of them share one non-negotiable requirement: consent, stated explicitly, every single meeting. This isn't just a legal formality — it's the difference between a trusted tool and a surveillance concern, and it should never be assumed from a calendar invite alone. Extraction turns a transcript into structured fields: decisions made, actions with an owner and a date, risks raised, overall sentiment, and next-meeting details. This is the enum-plus-unknown pattern applied to conversation — every field should have a defined shape rather than free-form prose, so downstream tools can actually use it. A good schema is opinionated about what matters for your work specifically, not a generic "summarize this meeting" prompt.

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Key terms in this module

Speech-to-text (AI transcription)
Speech-to-text is technology that turns spoken audio into written text. AI transcription models do this for recordings such as meetings and calls, so the words can then be searched, summarized or turned into tasks.

Frequently asked questions

Who is "Meeting Intelligence Stack" for?
This Advanced module in AI Builder is for learners who already use AI daily and are ready to build their first real workflows and integrations. It takes about 15 minutes and ends with a 4-question quiz.
Do I need to code?
No traditional programming is required. You will use no-code and low-code tools, and occasionally paste a short snippet that the lesson explains line by line.
What comes before and after this module?
Before "Meeting Intelligence Stack", take "Data Pipelines With AI" (module 17 of AI Builder). Afterwards, continue with "Client-Ready Deliverables From AI".

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