AI Agents in Insurance

Bhuvaneswari Selvadurai and Ken Huang ()
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Bhuvaneswari Selvadurai: ISACA
Ken Huang: DistributedApps.ai

Chapter Chapter 9 in Agentic AI, 2025, pp 279-302 from Springer

Abstract: Abstract This chapter explores the transformative impact of AI agents on the insurance industry, demonstrating how these intelligent systems are revolutionizing traditional practices and redefining the core tenets of insurance operations. From risk assessment and claims processing to customer engagement and regulatory compliance, AI agents are driving efficiency, accuracy, and personalization across the value chain. The chapter delves into the seven-layer architecture that underpins these agents, highlighting the convergence of forces—data explosion, algorithmic advancements, cloud computing, customer expectations, and competitive pressure—that have propelled their adoption. It examines how AI agents leverage diverse data sources and advanced reasoning capabilities to achieve a new era of risk understanding, moving beyond prediction to causal inference and scenario generation. Furthermore, the chapter discusses the automation of claims processing, showcasing AI’s role in streamlining operations, from First Notice of Loss (FNOL) to fraud detection and payment processing. It also explores how AI-powered customer engagement is enhancing personalization, availability, and support, creating seamless and tailored experiences. Finally, the chapter addresses the critical importance of responsible AI development and deployment, emphasizing data privacy, algorithmic fairness, transparency, and the role of regulatory sandboxes in fostering innovation while mitigating risks. The chapter concludes that the future of insurance is not just digital, but agentic, with AI agents poised to reshape the industry in profound ways.

Keywords: AI agents; Insurance; Risk assessment; Claims processing; Customer engagement (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-031-90026-6_9

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DOI: 10.1007/978-3-031-90026-6_9

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