Multi-Agent Meeting Intelligence System

Remote and hybrid teams suffer from meeting friction and information loss. Without centralized tracking, discussions repeat, institutional knowledge disappears, and manual follow-ups and decision tracking become a significant time tax that delays project delivery.

An automated meeting intelligence system that periodically processes data from Zoom, Google Meet, and Teams. AI agents identify decisions, action items, and assigned owners without manual intervention. The system detects meeting end and triggers follow-up workflows automatically, surfacing archived meetings in a dashboard or side panel.

• The system periodically processes data from Zoom/Google Meet/Teams
• AI agents identify decisions, action items, and assigned owners
• System detects meeting end and triggers follow-up workflows
• Past meetings are surfaced in a dashboard or side panel

• Speech-to-text with diarization — transcribes meetings and identifies speakers
• Multi-agent consensus validation — multiple agents cross-check to reduce false positives
• RAG — grounds outputs in company-specific task templates and terminology
• Semantic search — finds past meeting decisions across the archive

• Speech-to-text with diarization
• Multi-agent orchestration framework
• Vector database for semantic search
• RAG pipeline over internal templates