Revolutionizing Life Insurance Testing: The Rise of Self-Healing Automation Frameworks

Abstract

The life insurance industry is undergoing a rapid transformation driven by emerging technologies such as Machine Learning (ML), Deep Learning (DL), and Generative AI (Gen AI). Traditional software testing practices, particularly within life insurance platforms, often struggle to keep pace with rapid development cycles and the complex business rules inherent to the domain. Self-healing automation frameworks represent a significant leap in this domain, enabling intelligent test maintenance and minimizing human intervention. These frameworks leverage AI and ML to autonomously detect, adapt, and resolve issues arising from UI and backend changes, reducing downtime and enhancing testing efficiency.This paper explores the evolution of intelligent automation frameworks with a focus on self-healing mechanisms. We examine how Gen AI—combined with ML and DL—enhances the cognitive ability of test scripts to interpret data flows, validate insurance rules, and self-correct during runtime. The methodology involves integrating self-healing tools such as Selenium with AI-enhanced engines and comparing performance metrics across traditional and AI-enabled testing in real-world insurance applications.By analyzing recent advancements, use cases, and testing data from insurance IT systems, this paper identifies the benefits and challenges of adopting intelligent automation in life insurance QA (Quality Assurance). Findings suggest significant improvements in test coverage, resilience, and cost reduction. We also propose a hybrid architecture that integrates Gen AI for requirement understanding, ML for pattern recognition, and DL for image and document-based data validations. This research contributes to the discourse on intelligent software testing, providing strategic insights for insurance companies seeking digital acceleration. The proposed framework offers a scalable solution to meet the industry’s growing need for agility, compliance, and customer satisfaction through smart automation.