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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

AI agents in insurance: Transforming risk management, customer engagement, and operational efficiency

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  • AI agents in insurance: Transforming risk management, customer engagement, and operational efficiency

Avinash Terala *

Wipfli LLP, USA.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(02), 090-100

Article DOI: 10.30574/wjarr.2025.26.2.1606

DOI url: https://doi.org/10.30574/wjarr.2025.26.2.1606

 Received on 23 March 2025; revised on 28 April 2025; accepted on 01 May 2025

This article examines how artificial intelligence agents are fundamentally transforming the insurance industry across multiple dimensions, from risk assessment and claims processing to customer engagement and operational efficiency. The article explores the multifaceted impact of AI technologies on insurance business models and workflows. The research reveals distinct adoption patterns across insurance sectors, identifies critical success factors for implementation, and addresses the complex regulatory and ethical considerations shaping AI governance in insurance. The article demonstrates that while technological sophistication enables significant performance improvements, successful transformation equally depends on organizational readiness, change management approaches, and strategic workforce evolution. The article provides actionable insights for insurance executives navigating the delicate balance between innovation and governance in a highly regulated industry, offering a roadmap for harnessing AI's transformative potential while maintaining compliance and ethical standards. The article contributes to both scholarly understanding of technology-driven business transformation and practical knowledge for industry stakeholders seeking competitive advantage through responsible AI implementation.

AI Agents Insurance; Automated Underwriting; Claims Fraud Detection; Personalized Customer Engagement; Insurance Operational Efficiency

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1606.pdf

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Avinash Terala. AI agents in insurance: Transforming risk management, customer engagement, and operational efficiency. World Journal of Advanced Research and Reviews, 2025, 26(2), 090-100. Article DOI: https://doi.org/10.30574/wjarr.2025.26.2.1606

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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