An origination floor, late evening
Twelve auditors. Hundreds of thousands of calls. The math never worked.
Westlake Origination Center
Westlake Origination Center sits at a regulatory edge. Every call is a compliance event. Every script deviation is a potential audit finding. The QA team had twelve experienced auditors. The call volume ran into the hundreds of thousands per cycle. The math, frankly, never worked.
For years they sampled. Listened to a fraction of the calls and trusted the rest were fine. Sampling worked because there was no alternative.
From sampling to coverage
We built an automatic auditing system that processes every call. Transcripts are scored against the company's actual compliance rubric. Script deviations are flagged with the exact moment in the call where they occurred. Risk events are surfaced into a supervisor queue within an hour of the call ending — not days later, not in a sample.
Every call is now reviewed at the rubric level. Not a percentage. All of them.
The auditors didn't go away — they got upgraded
The twelve manual auditors stayed on the team. What changed was the work. Instead of listening for the basics — was the disclosure read, did the script line get spoken, was the disposition logged — they review the high-risk events the AI surfaces. The cases where script deviation crosses into actual compliance exposure.
Manual review became surgical. The auditors started doing the work that actually requires human judgment, while the AI did the part that only required listening.
“We went from sampling to coverage. That's the whole story.”
At full scale, the system audits beyond what any human team could ever cover. The original team kept their jobs and got higher-leverage work. Compliance got the one thing it never had: full visibility.
- Client
- Westlake Origination Center
- Surface
- Internal compliance + QA platform
- Stack
- Transcription pipeline, custom rubric, supervisor queue