Deploying Compliant AI Voice at Scale in Loan Servicing
How consumer lenders achieve 100% call coverage, lower costs, and exam-ready compliance with AI
Traditional QA programs typically review about 2% of borrower calls, leaving most interactions unmonitored and creating unavoidable compliance and quality gaps.
This guide explains how consumer lenders are using Agent Studio, Salient’s self-serve AI voice builder, to configure, test, and deploy compliant voice agents across collections, inbound service, and verification. Teams achieve 100% call coverage and meaningful cost reduction without long implementation cycles or engineering support.
You will learn how lenders move from manual QA and call-center dependency to configurable, enterprise-grade voice automation that can be deployed and updated in weeks.
What’s inside
Why generic voice AI does not meet the requirements of regulated lending
How lenders configure and deploy AI voice agents independently using pre-built templates and compliance rules
The core servicing use cases that drive the majority of call volume and operational cost
Results from lenders using Agent Studio, including lower servicing costs, higher promise-to-pay rates, and full compliance coverage



