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

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.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.17286406
Primary Topic
Rheumatoid Arthritis Research and Therapies
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Zenodo (CERN European Organization for Nuclear Research)
Rheumatoid Arthritis Research and Therapies
article

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

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Adli Tıp Kurumu (TR)
Industry, innovation and infrastructure
Openalex Percentile: Top 36%
Rheumatoid Arthritis Research and Therapies
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AI agents in insurance: Transforming risk management, customer engagement, and operational efficiency · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS