Litigation Prediction Project Qorus-NTT DATA Innovation in Insurance Awards 2025 - Winner

• The Litigation Prediction Project is an AI-driven system developed by Aksigorta with the primary objective of transforming claims management in the insurance industry. By employing advanced machine learning algorithms, the system processes multi-dimensional data including customer history, call center interactions, accident records, and product ownership details to provide real-time risk scores for each claim file. These scores predict both the probability of a claim escalating into litigation and the potential financial gain or loss, thereby enabling more informed and timely decision-making. • The project was conceived to address a critical business challenge: traditional methods of claims management struggle to forecast which damage files will result in litigation, creating uncertainty that can lead to unexpected legal costs and inefficient resource allocation. This uncertainty hampers financial planning and operational effectiveness, making it imperative to adopt a solution that offers predictive insights and proactive risk management. • The inspiration behind the project stemmed from the need to integrate various data sources into a unified model that could accurately predict litigation risk, thus filling a significant gap in the industry. • The project involved a collaborative effort across multiple departments, including claims management, risk assessment, IT, and strategic planning, with strong support from the board of directors and senior management. Since its launch, the system has delivered measurable results, notably a 3% reduction in litigation rates, substantial cost savings, improved operational efficiency, and enhanced customer satisfaction through faster and more transparent claims processing.