AI Meeting Summarisation
Transform every meeting into structured notes with key decisions, action items, and follow-ups automatically extracted. Never miss a critical detail or lose track of commitments again.
The Problem
Why this matters
Professionals spend an average of 23 hours per week in meetings, yet critical decisions and action items are frequently lost or poorly documented. Manual note-taking is unreliable, distracts participants from the discussion, and produces inconsistent records. Without structured follow-up, agreed actions slip through the cracks, leading to repeated discussions, missed deadlines, and organisational inefficiency.
The Solution
How AI solves this
AI meeting summarisation captures audio or transcript data from your meetings and produces structured summaries within minutes. The system identifies speakers, extracts key decisions, assigns action items to specific individuals, and highlights topics that require follow-up. Summaries are automatically distributed to attendees and integrated with project management tools to ensure accountability.
Benefits
What you gain
Save 5+ Hours Weekly
Eliminate manual note-taking and summary writing. AI produces comprehensive, structured notes within minutes of the meeting ending.
Never Miss an Action Item
AI automatically identifies commitments, assigns owners, and sets deadlines — ensuring every action is tracked to completion.
Searchable Meeting Archive
Build a searchable repository of all meeting content, enabling anyone to find past decisions, discussions, and context instantly.
Consistent Documentation
Every meeting produces a structured, standardised record regardless of who attends or whether a dedicated note-taker is present.
Better Meeting Culture
When everyone knows meetings are accurately captured, discussions become more focused, decisions more deliberate, and follow-up more reliable.
Process
How it works
Audio Capture or Transcript Import
The system connects to your meeting platform (Teams, Zoom, Google Meet) to capture audio, or ingests existing transcripts from any source.
Transcription & Speaker Identification
Speech-to-text models transcribe the meeting with speaker diarisation, identifying who said what throughout the discussion.
Summary Generation
AI generates a structured summary including agenda topics discussed, key decisions made, and important context or data points raised.
Action Item Extraction
The system identifies commitments, assigns them to the responsible individual, and extracts any stated or implied deadlines.
Distribution & Integration
Summaries are automatically shared with attendees and action items are pushed to tools like Jira, Asana, or Monday.com for tracking.
Industries
Who uses this
Technology
Tools we use
FAQ
Frequently asked questions
Not necessarily. The system can process recordings or transcripts after the meeting. However, live integration with Teams, Zoom, or Google Meet is available for real-time transcription and immediate post-meeting summaries.
Modern speech-to-text models achieve 95-98% accuracy for clear audio in English, with strong performance across accents and dialects. Accuracy can be improved further by providing domain-specific vocabulary and speaker profiles.
Absolutely. Meeting data is processed within your secure environment and can be deployed on your own cloud infrastructure. We never use client meeting data for model training. Data retention policies are fully configurable to meet your governance requirements.
Ready to get started?
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