Manually processing large collections of non-performing loans (NPLs) is time-consuming, error-prone, and labor-intensive.
Dynius developed an AI solution that automates document categorization and debt collection plan generation.
Dynius created an advanced AI solution
that
automates the processing of non-performing loans (NPLs). The system utilizes generative
AI
and Natural Language Processing (NLP) to optimize the entire workflow, from document
categorization to strategy formulation.
Key features include:
• Extraction of structured information from
unstructured data
using
NLP
algorithms.
• Automated document categorization
based
on their content and keywords.
• Identification of missing appraisals or
warranties within
documents.
• Generation of 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-based data extraction has reduced errors and ensured consistent, reliable results.
Operational Efficiency
AI-based workflow has led to faster processing times and higher client satisfaction.
The AI solution has transformed NPL processing for the credit provider, achieving a 90% efficiency gain and boosting processing capacity by five times.
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