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

Terala, Avinash (2025) AI agents in insurance: Transforming risk management, customer engagement, and operational efficiency. World Journal of Advanced Research and Reviews, 26 (2). 090-100. ISSN 2581-9615

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.