Automating Non-Performing Loan Processing with AI

Client

WYS Law

Market

Italy

Industry

Legal

Challenge

Manually processing large collections of non-performing loans (NPLs) is time-consuming, error-prone, and labor-intensive.

How Dynius helped

Dynius developed an AI solution that automates document categorization, data extraction, and debt collection plan generation.

The solution

Dynius collaborated with the credit service provider to create an advanced AI solution that automates the processing of non-performing loans (NPLs). The system utilizes generative AI and Natural Language Processing (NLP) to streamline the entire workflow, from document categorization to strategy formulation.

Key features include:

• Extraction of structured information from unstructured data using NLP algorithms.
• Automated assignment of category label to documents based on their content and keywords.
• Identification of missing appraisals or warranties within documents.
• Generation of comprehensive debt collection plans based on the extracted information.

Reduced Manual Labor

Automation significantly decreased the workload for lawyers, allowing them to focus on higher-value tasks.

Increased Capacity

The provider can now process five times as many NPLs simultaneously, enhancing operational efficiency.

Improved Accuracy

AI-driven data extraction has reduced errors and ensured consistent, reliable results.

Operational Efficiency

Streamlined workflows have led to faster processing times and higher client satisfaction.

Takeaways

Dynius' AI-driven solution has revolutionized the NPL processing workflow for the credit service provider, delivering a 90% efficiency gain and increasing processing capacity by five times. This collaboration has enabled faster, more accurate, and efficient NPL management, significantly benefiting both the service provider and their clients.