A leading insurance provider faced bottlenecks in manually analyzing medical records and underwriting claims, with issues like rekeying data, inconsistent formats, and accuracy challenges. Aspire Systems designed an AI-driven solution using deep learning, NLP-based similarity detection, and CNN models to extract deviations, analyze summaries, and generate overall claim reports. A UI layer supported annotation and corrections, while an AI-powered underwriting system quantified unstructured data. Built with Python, the solution improved risk management, boosted efficiency, enhanced customer loyalty, and created new cross-sell and business opportunities.

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