The integration of artificial intelligence (AI) and blockchain (BC) technology is revolutionising the insurance sector, enhancing transparency, efficiency, and financial inclusion. This study explores how AI-driven automation and BC’s decentralised ledger addresses critical industry challenges, including fraud detection, claims processing, and policy underwriting. AI’s predictive analytics optimise risk assessment, while BC ensures data integrity and security through immutable records and smart contracts. The study employs a mixed-method approach, incorporating primary data from industry professionals and secondary data from reports and simulations to evaluate the impact of AI and BC in insurance. Regression analysis confirms the strong influence of AI infrastructure, fraud detection efficiency, and ethical governance on adoption rates. Findings emphasise the need for enhanced regulatory frameworks, industry collaboration, and workforce training to mitigate risks and maximise the benefits of these technologies. By strategically addressing these challenges, insurers can foster a resilient, secure, and inclusive financial ecosystem. The study concludes with policy recommendations to guide responsible AI-BC adoption, ensuring sustainable economic empowerment and democratisation of financial services in the insurance industry.