An online lending marketplace was losing good customers to slow manual review while fraud still slipped through. We replaced manual checks with a multi-stage AI verification pipeline embedded directly in the loan-origination flow.
Manual identity review was slow and inconsistent — it frustrated legitimate applicants (hurting conversion) while still letting fraudulent applications through. The business needed speed and accuracy at the same time.
Computer-vision checks that detect tampering, forgery and template anomalies on submitted identity documents.
Matching the document photo to a live selfie with calibrated thresholds tuned to the marketplace's risk appetite.
Active and passive liveness checks to defeat photo, video and mask spoofing attempts.
Signals across the application session that surface coordinated and synthetic-identity fraud patterns.
Figures reflect outcomes measured on this engagement. Client withheld under NDA.
Each stage was tuned to the marketplace's fraud profile and wired into the origination flow so verification happens inline, not as a separate manual step. Models are monitored for drift and retrained as fraud patterns evolve.
We scope a clear plan with milestones and architecture options — and right-sized GPU hardware if AI workloads are involved.