Increasing Revenue by Using AI to Accurately Identify Subrogation Opportunities

Business Objective

A leader in AI, IoT, and digital workflows for insurers, auto manufacturers, and repairers, partnered with Exadel to streamline the time-consuming, manual process of identifying situations where third-parties may be at fault, thereby increasing the potential to recover costs associated with claims.

The Transformation

• Engineered an AI-powered Intelligent Document Processing (IDP) application utilizing Natural Language Processing (NLP) and Machine Learning (ML) algorithms to automate document processing and preparation for further analysis.
• We employ cutting-edge technologies, including Large Language Models such as BERT and DistilBERT. These models examine claims and deliver insights regarding the possibility of subrogation.
• Further enhancing our solution, we’ve utilized Generative AI computer vision models to add the ability to analyze visual data and detect potential subrogation processes

AI Enablers

• Data and AI Culture, AI Training
• Business Process Analysis, Agile Development, Quality Engineering, MLOps
• Cloud and AI Platform, AI Tools & Frameworks, Generative AI
• Open-Source vs. Commercial, Selecting the Right Model, Fine-Tuning and Training Strategy