AI Meeting Dashboard with Kanji Verification and Action-Item Kanban

A dedicated AI agent checks every cleaned-up transcript against an employee directory of 73 staff members. Japanese names that the speech recognition systematically mistranscribes are corrected deterministically — for example „西畑拓也“ to „西端卓也“. This ensures that every transcript contains the correct kanji names.

In the calendar dashboard, every employee sees only the meetings they actually attended. Visibility is controlled automatically via Microsoft Graph attendance records and speaker recognition. Through whitelisting, the CEO or department heads can be granted access to additional meetings.

Every kanji-verified meeting is fed into a company-wide RAG agent on Supabase — as central company knowledge. In parallel, each meeting gets its own dedicated RAG by meeting ID. This makes both cross-meeting searches and targeted per-meeting queries with timestamps and audio links possible. Outlook emails also flow into the company memory after a two-stage relevance filter.

Yes — the architecture of AI analysis pipeline, kanji verification and attendee-based access control can be applied across any industry. Whether for executives who cannot attend every meeting, or for teams with international locations: Kuroko Labs builds a tailor-made solution. The initial consultation and potential analysis are free of charge.

Self-registration with Microsoft Graph OTP verification ensures that only authorized employees with a company email gain access. The Notta webhook itself is secured via token authentication and replay protection; attendee-based visibility, PM2 cluster mode and Redis-backed rate limiting guarantee security and stability.