# What is meeting intelligence? Definition + examples > Meeting intelligence is the practice of turning meeting conversations into structured, searchable data and insights. Learn how it works and what it powers. Source: https://meetstream.ai/glossary/meeting-intelligence ## What is meeting intelligence? ### How meeting intelligence works Meeting intelligence is a pipeline. Capture comes first: a meeting bot or platform integration records the conversation. Processing follows, converting audio to speaker-attributed transcripts. The intelligence layer then extracts meaning, using language models and analytics to generate summaries, detect topics and commitments, score conversations, and compute metrics like talk time and question rates. Finally, the results flow into the systems where decisions happen: CRMs, dashboards, coaching tools, and search. ### The building blocks Most meeting intelligence stacks assemble the same components: - Meeting capture via bots across Zoom, Google Meet, and Microsoft Teams - Transcription, both live and post-call - Speaker identification and diarization for attribution - LLM analysis for summaries, action items, and topic extraction - Conversation metrics such as talk ratio, interruptions, and sentiment - Integrations that write insights back into CRMs and workflow tools ### What teams use it for Sales teams review calls at scale, coach reps against real conversations, and keep CRM records current without manual logging. Customer success monitors account health signals. Recruiting standardizes interview evaluation. Product and research teams mine user conversations for themes, and leadership gets an aggregate view of what customers actually say. The common thread is scale: no team can attend or rewatch every meeting, and meeting intelligence turns that unread backlog into queryable data. ### From dashboards to real-time intelligence The category began as after-the-call analysis, but the frontier is live. With sub-second media streaming and real-time transcription, intelligence can surface during the meeting itself: agents that retrieve answers mid-call, live coaching prompts, and compliance alerts that fire while there is still time to act. This shifts the infrastructure requirement from batch recordings to low-latency streams. ### Meeting intelligence in practice MeetStream supplies the capture and data layer for meeting intelligence products: one API call sends a bot into a Zoom, Google Meet, or Microsoft Teams call, returning MP4 recordings, real-time and async speaker-identified transcripts, participant events, and live media streams for the analysis layer you build on top. Start at the MeetStream docs . See the meeting bot API page to go deeper. ### Frequently asked questions No. Transcription is an input. Meeting intelligence adds attribution, analysis, and metrics on top of transcripts, then routes the output into tools where teams act on it. The transcript is raw material, not the product. They overlap heavily. Conversation intelligence usually refers to revenue-focused call analysis for sales teams, while meeting intelligence covers the broader practice across any meeting type, including internal, research, and hiring conversations. No. Most products use a meeting bot API for capture, transcription, and streaming, and concentrate their own engineering on the analysis and workflow layers that differentiate them. ### Related reading ### Put the vocabulary to work One API to join, record, stream, and transcribe meetings on Zoom, Google Meet, and Microsoft Teams. --- Full site index for agents: https://meetstream.ai/llms.txt API contract (OpenAPI 3.1): https://meetstream.ai/openapi.json MCP discovery: https://meetstream.ai/.well-known/mcp