Feb 4, 2025
The brief:
A major financial services provider needed a smarter way to assess creditworthiness and accelerate loan decisions. Their traditional credit scoring model excluded large segments of the population with limited credit history. At the same time, manual underwriting workflows slowed approvals and made compliance checks difficult.
The problem statement:
Legacy scoring models left qualified applicants out of reach
Risk assessment was time consuming and dependent on manual review
Limited data points reduced accuracy of default predictions
Lack of transparency created compliance friction
Loan decisions took too long, frustrating customers and restricting growth
The solution:
Tenjumps designed and deployed an AI powered credit scoring system that enhanced the institution’s existing model
Integrated traditional credit data with new behavioral and financial data sources
Automated decision engine delivered real time risk recommendations
Recalibrated scoring logic to identify low risk applicants with limited credit history
Improved visibility and auditability to support regulatory compliance
Enabled faster approvals and more accurate risk segmentation
Sales teams were empowered with immediate scoring results. Applicants received decisions in minutes, not days. Compliance and risk management teams gained greater confidence and traceability.
The outcomes:
Loan approvals increased by 30 percent
Default rates reduced by nearly 25 percent
Risk assessment time reduced from days to real time
Underwriting teams freed from manual review workload
Financial inclusion expanded with access for previously excluded applicants