ai receipts
Search your own problem
Case study · From the Pluris libraryReceipt no. 9204
What sucked

A parliamentary monitoring company employed human staff to attend and transcribe EU Parliament, UK Parliament, and council committee meetings, an expensive, slow process that left clients waiting days for usable intelligence.

After a Monday meeting, audio arrived Tuesday, listening happened Wednesday, and processing finished Thursday. With parliaments running continuously across multiple chambers and committees, the manual model couldn't scale, and delayed intelligence reduced its value to decision-makers who needed near-real-time awareness.

Media & EntertainmentOperations4–8 weeks
What they built

Mathison AI built a custom pipeline that ingests live audio streams from parliamentary and council meetings, processes them through Claude for transcription and AI summarization, and delivers output to a human-reviewed editing interface for final approval and distribution.

What changed
4 Days → 30 Minutes

A process that previously took four days, audio received Tuesday, reviewed Wednesday, processed Thursday, now completes within 30 minutes of a meeting ending, giving clients near-real-time legislative intelligence.

Three-Front Cost Win

The solution reduced costs simultaneously on time, accuracy, and expense. Human monitors stationed at committee rooms were replaced by an automated audio pipeline delivering faster and more consistent output at a fraction of the operational cost.

Time to results
4–8 weeks
Company size
51-250 people
More fixes like this
Who did it
Mark Riley
CEO & Founder, Mathison AI

Vetted by Pluris.