AI-driven compliance checks
Before: 10%
Now: 100%
of applications checked in real time, up from about 10% under manual QA
Lending, compliance. A nationwide non-bank lender embedded AI into the application workflow to check identity, income, credit and policy on every file, with a full audit trail.
What we struck out
Before: Manual QA could only sample around one in ten applicationsBefore: Policy breaches were found after settlement, when they were expensive to fixBefore: Growing volumes meant more QA staff, or more riskBefore: Regulators expected every decision to be explainable
What went in instead
- AI that reads payslips, statements and IDs as they arrive
- Lending policy, credit rules and QA checklists applied to every application
- Clean cases routed straight through, exceptions sent to a QA officer
- Every check logged with its reasons for audit
100% of applications checked in real time.
- Issues caught before decisions are final, not after settlement
- QA time spent on genuine exceptions
- A traceable, audit-ready record for every decision
Why it matters
Compliance moves from a sample checked after the fact to every case checked as it happens. That is the pattern we bring to every regulated workflow.