The Future of InsurTech: Evaluating Blockchain and Smart Contracts for Automating Claims Processing and Improving Policyholder Trus

Authors

  • Balaji Adusupalli Assistant Vice President-Sr Authentication Engineer, ACE American Insurance - CHUBB, New Jersey, USA Author

DOI:

https://doi.org/10.47363/JAICC/ICAICC/2025(4)30

Keywords:

Evaluating Blockchain, Policyholder Trus

Abstract

The rapid evolution of InsurTech is transforming the insurance industry through the integration of blockchain technology and smart 
contracts. This study evaluates how blockchain’s decentralized, transparent, and tamper-resistant ledger enhances policyholder 
trust while smart contracts automate claims processing, reducing fraud, administrative costs, and processing delays. By leveraging 
distributed ledger technology (DLT), insurers can ensure secure data sharing, streamline underwriting, and enable real-time claim 
settlements with greater accuracy and efficiency. The research explores key challenges, including regulatory compliance, scalability, 
and interoperability, while highlighting innovative use cases that demonstrate the potential of blockchain-driven insurance solutions. 
Additionally, ethical considerations and the role of AI in enhancing blockchain-based automation are discussed. The study concludes 
that blockchain and smart contracts have the potential to revolutionize InsurTech by improving operational efficiency, fostering 
transparency, and strengthening trust between insurers and policyholders in an increasingly digital insurance ecosystem.

Author Biography

  • Balaji Adusupalli , Assistant Vice President-Sr Authentication Engineer, ACE American Insurance - CHUBB, New Jersey, USA

    Balaji Adusupalli, Assistant Vice President-Sr Authentication Engineer, ACE American Insurance - CHUBB, New Jersey, USA

Downloads

Published

2025-05-10

How to Cite

The Future of InsurTech: Evaluating Blockchain and Smart Contracts for Automating Claims Processing and Improving Policyholder Trus. (2025). Journal of Artificial Intelligence & Cloud Computing, 4(3), 1-1. https://doi.org/10.47363/JAICC/ICAICC/2025(4)30

Similar Articles

21-30 of 60

You may also start an advanced similarity search for this article.