Machine Learning Approaches to Automated Claims Adjudication in Insurance
DOI:
https://doi.org/10.5281/zenodo.22874872Keywords:
Artificial Intelligence In Insurance, Automated Claims Processing, Insurance Operations Optimization, Cost Reduction Strategies, Customer Experience Enhancement, Claims Settlement Acceleration, Ethical AI Governance, AI-Driven Decision Support, Small Claims Automation, Operational Efficiency Gains, Customer Satisfaction Management, Competitive Advantage In Insurance, Claims Accuracy And Consistency, Service Quality Improvement, Customer Retention And Loyalty, High-Value Client Management, Digital Insurance Transformation, AI Monitoring And Oversight, Intelligent Claims Workflows, Experience-Driven Insurance Services.Abstract
Claims processing has become a central focus for insurers seeking to leverage artificial intelligence (AI) to reduce costs and improve service quality. This attention is driven by three key factors. First, claims processing constitutes a major operational expense, and reducing it can directly enhance profitability. Second, the claims experience strongly shapes customer perception and often influences future purchasing decisions. Third, AI-driven claims systems have proven capable of accelerating the settlement of smaller claims without compromising accuracy. When deployed within a carefully monitored and ethically governed framework, AI integration into claims processing offers a genuine win-win opportunity for insurers and customers alike.
However, efficiency gains alone do not tell the full story. Unless these operational improvements translate into tangible gains in customer experience and satisfaction, their long-term value remains limited. Today's customers expect faster claims settlements as a baseline standard, and insurers that consistently meet this expectation gain a competitive advantage—building both customer satisfaction and long-term loyalty. Conversely, insurers that fail to deliver timely settlements risk higher customer attrition, particularly among high-value clients. Ultimately, insurers that successfully harness AI to achieve both operational efficiency and consistent, faster settlements are best positioned to capture the full benefits—both in cost savings and in customer experience.
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