On-Device AI Pipeline Turns Meeting Speech Into Assigned Tasks Automatically

A team behind the Octic on-device recorder and Octo collaboration platform has built a five-stage pipeline that converts spoken meeting decisions into tracked, assigned tasks without manual input. The system captures audio locally on the Octic device, runs speech recognition and speaker diarization on-device so audio never leaves the room, then passes timestamped transcripts through a natural language understanding model to extract action items, decisions, and open questions. Extracted tasks are automatically turned into structured work units called Loops in Octo, each with an owner, description, and acceptance criteria mapped from the conversation. The project was motivated by internal tracking data showing that roughly 40% of verbally agreed tasks across six or more daily meetings were never entered into any system. The full pipeline runs as a post-meeting batch job, a design choice the team found produces more accurate intent extraction than real-time processing.