The client is an India-based life insurance company that provides a range of individual and group insurance solutions across India.
India
The client faced challenges with their insurance claims investigation process due to manual, time-intensive workflows and the absence of streamlined systems. These inefficiencies caused delays in investigations, increased operational efforts, and made it difficult to access claims-related data, as information was spread across multiple systems without a unified platform.
Fragmented and unstructured data, such as documents, emails, and medical reports, further hindered the organization’s ability to derive actionable insights. Additionally, the lack of advanced analytical tools meant fraud detection was reactive rather than proactive, increasing the risk of fraudulent payouts and financial losses. These inefficiencies caused delays in claims processing, eroding customer satisfaction and trust, highlighting the need for modernization to improve efficiency and proactively address challenges.
Datamatics implemented an AI-powered unified system that provided a comprehensive 360° view of claims and related entities. The solution enabled virtual connections, structured data capture, and advanced analytical insights, streamlining investigations and significantly improving fraud detection. The enhanced system not only boosted efficiency but also transformed the claims process into a more seamless and accurate operation.
Additionally, Datamatics developed a business intelligence solution to extract, transform, and load data into actionable insights. The implementation included designing custom AI models, with client data vectorized and processed for superior accuracy. These models incorporated medical datasets from PubMed and MIT, ensuring highly precise and reliable outcomes tailored to the client’s needs.
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