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.

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.

• $40,668 → $1,597Monthly audit operating cost
• 96% lessMonthly audit operating costs
• 20/day → 150/hourMeetings reviewed by the audit process
• 650% moreReview capacity
• Same-day meeting evaluations enable faster corrective action

Mid-Market example · The problem & approach apply across business sizes; outcomes vary by process volume, complexity & scope