AI underwriting platform processing 3,000 applications per day
A fintech lender needed to scale underwriting without scaling headcount. We built a multi-model risk assessment pipeline with human-in-the-loop escalation for edge cases.
Data & AI Platforms, in production.
What stood in the way.
Application volume was growing faster than the underwriting team could keep up with, and every new hire added cost and onboarding time. The lender needed to assess risk consistently and at speed without loosening their standards or losing the ability to explain a decision.
How MetaSys built it.
Built a multi-model risk pipeline that scores each application against the lender's existing policy and risk signals.
Added a human-in-the-loop escalation path so borderline and high-stakes cases always reach an underwriter with the model's reasoning attached.
Designed every decision to be auditable and explainable, a hard requirement in a regulated lending context.
Shipped a first production version in two weeks, then tuned thresholds against real outcomes.
What changed for the business.
Routine applications now flow through automatically while underwriters spend their time on the cases that need human judgment. The lender scaled throughput well beyond what the team could process manually and brought the cost per decision down substantially.
The MetaSys capabilities behind this build.
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