Workflow
AI Meeting Intelligence Workflow
Convert meetings into decisions, tasks, risks, and follow-up briefs automatically.
1 min read
/ quick answer
Transcribe calls, extract structured decisions and action items, update systems of record, and brief stakeholders. Convert meetings into decisions, tasks, risks, and follow-up briefs automatically.
Convert meetings into decisions, tasks, risks, and follow-up briefs automatically. The problem it solves: Meetings create valuable decisions but most outcomes disappear into transcripts, scattered notes, or memory. Transcribe calls, extract structured decisions and action items, update systems of record, and brief stakeholders. It runs in 5 steps, starting with record and transcribe the meeting with speaker labels. This workflow node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Problem
Meetings create valuable decisions but most outcomes disappear into transcripts, scattered notes, or memory.
Solution
Transcribe calls, extract structured decisions and action items, update systems of record, and brief stakeholders.
Steps
- 01Record and transcribe the meeting with speaker labels.
- 02Extract decisions, commitments, risks, questions, and deadlines.
- 03Map action items to owners and push them into project management.
- 04Generate a stakeholder brief in the appropriate tone.
- 05Store reusable knowledge in the company knowledge graph.
Tools Used
Prompts Used
Variations
- Create sales-call summaries for CRM.
- Generate executive briefs from leadership meetings.
Related Dictionary
/ frequently asked
What does the AI Meeting Intelligence Workflow workflow do?
Transcribe calls, extract structured decisions and action items, update systems of record, and brief stakeholders.
What problem does AI Meeting Intelligence Workflow solve?
Meetings create valuable decisions but most outcomes disappear into transcripts, scattered notes, or memory.
How many steps does AI Meeting Intelligence Workflow take?
5 steps. It starts with record and transcribe the meeting with speaker labels. and ends with store reusable knowledge in the company knowledge graph..
Which tools does AI Meeting Intelligence Workflow need?
It uses meeting-intelligence-stack, knowledge-graph-stack — each linked below with its own node.
↳ connected nodes
Dictionary↳ linked
Structured Output
Forcing AI responses into predictable schemas that software can use.
Dictionary↳ linked
Agent Memory
Persistent context that lets agents retain preferences, decisions, and prior work.
Dictionary↳ linked
Workflow Trigger
The event that starts an automated workflow.
Tool Stack↳ linked
Meeting Intelligence Stack
Transcription, extraction, task routing, and knowledge updates for meetings.
Tool Stack↳ linked
Knowledge Graph Stack
Relationship layer that maps concepts, workflows, prompts, tools, and cases.
Prompt↳ linked
Meeting Intelligence Extraction Prompt
Extract decisions, commitments, risks, and follow-ups from transcripts.
Use Case↳ linked
Leadership Team Turns Meetings Into Decision Logs
Executives stopped losing decisions inside long transcripts and scattered notes.
Use Case↳ linked
CS Team Builds AI Health Scores From Customer Signals
Customer success combined tickets, meetings, usage notes, and surveys into weekly account risk scores.
Dictionary↳ linked
Multimodal AI
Models that natively process more than one input type — text, images, audio, or video.
Dictionary↳ linked
Summarization
Compressing text while preserving meaning and structure.
Dictionary↳ linked
Transcription (ASR)
Converting speech audio into text.
Prompt↳ linked
Meeting to Actions Prompt
Extract decisions, owners, and dates from a meeting transcript.
Workflow↳ linked
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