🏦 Client Industry

Banking and Financial Services

🎯 Challenge

A major bank struggled with high volumes of non-performing loans due to fragmented customer data and slow processing systems. These inefficiencies led to inconsistent and delayed decision-making, increasing financial risk and reducing customer confidence.

πŸ’‘ Our Solution

We began by redesigning the bank’s database architecture for rapid retrieval of customer transaction histories. This optimized foundation enabled a hybrid modeling approach that combined:

  • LSTM networks – to capture sequential patterns in transaction data
  • Boosting algorithms – to enhance classification performance and decision accuracy

πŸ“ˆ Business Impact

  • Significant reduction in non-performing loans within 6 months
  • Faster and more consistent loan decision-making
  • Foundation for fraud detection system using transformer models and neural networks
  • Strengthened trust and operational efficiency

πŸ’¬ Let’s Talk Results

Need help enhancing financial risk models? We can help you modernize your decision systems with scalable AI architectures.

πŸ“© Contact: info@integritassolutions.net