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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Technical analysis: AI transformation in property and casualty insurance

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  • Technical analysis: AI transformation in property and casualty insurance

Sameer Joshi *

Cognizant, USA.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(02), 833-841

Article DOI: 10.30574/wjarr.2025.26.2.1597

DOI url: https://doi.org/10.30574/wjarr.2025.26.2.1597

Received on 17 March 2025; revised on 30 April 2025; accepted on 02 May 2025

This technical article explores how artificial intelligence is transforming property and casualty insurance across multiple operational dimensions. The integration of advanced machine learning techniques is creating a paradigm shift from reactive, manual processes to proactive, data-driven operations throughout the insurance value chain. From predictive underwriting algorithms and catastrophe modeling to commercial risk assessment and dynamic pricing models, AI technologies are enabling unprecedented gains in efficiency, accuracy, and customer experience. The implementation of recommendation engines, conversational interfaces, and human-AI collaboration frameworks is further revolutionizing customer interactions while creating more personalized insurance experiences. Additionally, the development of comprehensive bias detection systems, regulatory compliance architectures, and ethical safeguards ensures that these technological innovations maintain fairness and transparency in an increasingly complex regulatory landscape. 

Algorithms; Catastrophe Modeling; Ethical Safeguards; Machine Learning; Underwriting Automation

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1597.pdf

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Sameer Joshi. Technical analysis: AI transformation in property and casualty insurance. World Journal of Advanced Research and Reviews, 2025, 26(2), 833-841. Article DOI: https://doi.org/10.30574/wjarr.2025.26.2.1597

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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