
A 51–250-person government and public affairs firm replaced physical attendance and manual scribing with FFMPEG-based audio ingestion on AWS, capturing live streams from multiple parliamentary chambers in parallel. Each audio segment was passed to Claude for transcription and structured summarization, then presented to a human editor in a bespoke interface for review and approval before distribution. This moved turnaround from four days to under 30 minutes from meeting end to approved output.
The pipeline used Claude for transcription and summarization, with FFMPEG for audio ingestion and AWS for hosting. The approach combined natural language processing, process automation (RPA + AI), and data synthesis and reporting, with a human editor kept in the loop.
Turnaround dropped from four days to under 30 minutes, and the solution reduced costs on three fronts at once (time, accuracy, and expense) by replacing human monitors stationed at committee rooms with an automated audio pipeline.
The pipeline was built and refined over four to eight weeks, with the core compression achieved early.
Government affairs teams, parliamentary monitoring services, or public policy intelligence firms that need to track legislative activity across multiple chambers at once but cannot afford to staff human monitors at every session.