Challenge
A leading bank in Saudi Arabia struggled with inefficient loan approvals and high default rates due to outdated credit risk models. Manual risk assessments delayed approvals, leading to customer dissatisfaction and increased non-performing loans (NPLs). The bank needed a smarter, AI-driven credit scoring system.
Our Approach
E-Solutions implemented an AI-powered loan risk assessment model by:
- Deploying machine learning algorithms, analyzing past borrower behavior.
- Using alternative data sources, such as transaction history and social analytics, for deeper insights.
- Automating risk profiling, improving credit decision-making efficiency.
- Enhancing fraud detection models, reducing high-risk lending approvals.
Outcome
- 30% reduction in loan default rates, improving portfolio health.
- 50% faster loan processing, increasing customer satisfaction.
- 20% increase in loan approval accuracy, reducing financial risks.
