Primus facilitated the optimization of the insurance claim process for one of our clients by implementing NLP (Natural Language Processing) and harnessing LLM (Large Language Models). This strategic approach allows for rapid entity extraction from PDF documents, ensuring the swift recognition and categorization of vital information. This encompasses policyholder details, incident specifics, and pertinent policy clauses, thereby significantly enhancing the efficiency of the claims process.
- Streamlined Process: The application of NLP and LLM significantly reduces the need for manual data extraction, thereby streamlining the entire claims process.
- Enhanced Accuracy: Leveraging Large Language Models minimizes human-induced errors, enhancing the overall accuracy of data extraction.
- Swift Data Extraction: This technology allows for the speedy extraction of key information, facilitating more efficient interactions and decision-making.
- Seamless Integration: Integration into the Azure Open AI platform centralizes AI tools, enhancing overall system functionality and accessibility.
This transformative solution leverages cutting-edge technologies, including Large Language Models, Python, and Node.js for the backend, OCR technology for document parsing, a user-friendly React web interface, messaging pipelines, and cloud services for scalability. The amalgamation of these technologies has produced a secure, responsive, and efficient system that revolutionizes insurance claims processing.
The project was managed using Agile Methodology, ensuring continuous improvement and alignment with client requirements, ultimately delivering a solution that sets new standards in claims processing efficiency.