AI-Driven Claims Processing Systems in Insurance Companies

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Authors: Ganesh Pambala
Cited by: 0

Abstract

Over the past decade, claims processing has emerged as a primary area of interest for insurers exploring how artificial intelligence (AI) can reduce costs or enhance service quality.Several factors motivate this focus.First, processing claims represents a major operational expense-one that, if reduced, is likely to translate into greater profitability.Second, claims processing often significantly influences the customer experience and may even determine clients' future purchase decisions.Finally, AI technologies tailored for claims processing have demonstrated the ability to deliver faster settlement of smaller claims without sacrificing accuracy.Provided that AI is applied within a carefully monitored, ethically governed framework, its integration into claims processing represents a genuine win-win opportunity.But increasing the efficiency of claims processing is only half the story.Unless these savings translate into improved customer experience and satisfaction, the long-term gains may be illusory.Customers today demand -and expect -faster claims settlements.Organisations that can consistently meet these expectations are likely to enjoy a competitive edge, gaining not only customer satisfaction but also long-term loyalty.Conversely, companies that fail to deliver speedy settlements will, over time, see an increased rate of customer attrition, particularly among their high-value clients.Insurers that can harness new AI capabilities to manage these twin objectives -faster settlement with greater consistency -stand to capture both the operating and customer experience benefits.

Fields of Study & Subjects

Explainable Artificial Intelligence (XAI) Artificial Intelligence in Law Insurance and Financial Risk Management

Publication details

Journal / source
IJIREEICE
Volume
11
Issue
12
Publication date
8 January 2026