AntiFraud and Credit Risk prevention
Suitable for: FinTech, Banks, NeoBanks, Leasing, Factoring companies offering loans or credit to individuals and corporates
Challenge
Lenders face high portfolio loss rates and struggle with low sales due to inefficient fraud detection and credit risk management processes.
Solution
- Implementation of a self-learning module that trains scoring models in real time.
- The module continuously adapts and improves to identify high-risk profiles and prevent fraudulent activities more effectively.
Key Results
- Significant Portfolio Growth: Achieved a 120% increase in loan portfolio value within 12 months.
- Reduced Bad Loans: Cut the value of bad loans by over 50%, ensuring healthier financial performance.
- Massive Cost Savings: Saved $3.9M in the first year by preventing credit risk more efficiently.
Why Choose SLS?
The SLS platform empowers lenders with advanced, adaptive scoring models that:
- Enhance portfolio quality by minimizing risk exposure.
- Increase loan approvals for qualified customers, driving revenue growth.
- Ensure fraud detection and credit risk management stay ahead of evolving threats.
With SLS, lenders can secure sustainable growth while protecting their business from financial and reputational losses.
Questions Answered:
How can we quickly implement and manage a credit risk assessment process without overburdening our teams?
- Answer: By implementing the SLS low-code/no-code platform with a GenAI module, which allows for efficient workflow creation and minimal resource use.
How can we reduce the costs associated with building and testing credit risk workflows?
- Answer: With the SLS platform, workflows can be implemented and tested within days, leading to over $500k in cost savings in the first year.