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@article{207366,
        author = {Dr.N.SIVAKUMAR and Mrs.S.Gowthami},
        title = {AI Applications In Claims Management And Settlement: Enhancing Efficiency, Accuracy, And Customer Satisfaction},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {3},
        pages = {639-641},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=207366},
        abstract = {Artificial Intelligence (AI) is transforming the insurance industry by automating and optimizing claims management and settlement processes. Traditional claims handling often involves lengthy procedures, manual verification, human errors, and fraudulent activities, leading to increased operational costs and reduced customer satisfaction. AI technologies such as Machine Learning (ML), Natural Language Processing (NLP), Computer Vision, Robotic Process Automation (RPA), and Predictive Analytics have significantly improved the speed, accuracy, and transparency of claims processing. This study examines the applications of AI in claims management and settlement, highlighting its role in fraud detection, document verification, claim assessment, customer communication, and decision-making. The paper also discusses the benefits, challenges, ethical considerations, and future opportunities associated with AI implementation in insurance claim processing. The findings indicate that AI enhances operational efficiency, reduces settlement time, improves customer experience, and strengthens fraud prevention mechanisms, making it a vital component of digital transformation in the insurance industry.},
        keywords = {Artificial Intelligence, Claims Management, Claims Settlement, Insurance, Machine Learning, Fraud Detection, Robotic Process Automation, Customer Satisfaction.},
        month = {August},
        }