The problem
The company needed to monitor process quality across many branches, but manual meeting audits were slow, expensive, and limited in coverage. Central teams could not review enough meetings to see issues consistently.
The solution
An AI meeting-audit agent uses speech-to-text, LLM analysis, predefined audit criteria, scoring logic, and automated reporting. It transcribes meeting recordings, identifies key topics, checks whether required standards were covered, scores compliance, and generates structured audit reports for managers.
Key results
- 96% lessMonthly audit operating costs
- 150/hourMeetings analyzed
- 650% moreReview capacity
- 1,600 hrsFreed for customer-facing work
Benchmarks are based on the original deployment; outcomes vary by process volume, complexity, and implementation scope. Similar workflow patterns can apply to businesses of different sizes.