Increasing Revenue by Using AI to Accurately Identify Subrogation OpportunitiesIncreasing Revenue by Using AI to Accurately Identify Subrogation Opportunities
>10%
Boost in subrogation process
2.7k
Man-hours saved per month
9k+
Documents processed per month
Significantly increased revenue and reduced manual efforts by digitalizing the identification of third-party reimbursement opportunities during insurance claims processing
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
1.
Data and AI Culture, AI Training
2.
Business Process Analysis, Agile Development, Quality Engineering, MLOps
3.
Cloud and AI Platform, AI Tools & Frameworks, Generative AI
4.
Open-Source vs. Commercial, Selecting the Right Model, Fine-Tuning and Training Strategy
Case Studies
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Real Results
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