Cross-Sector Digital Transformation: Lessons from Insurance Industry Automation and Interoperability Models (Published)
Digital process automation and data interoperability, first operationalized at scale within the insurance industry, have become critical enablers of transformation across a range of regulated sectors, including healthcare, financial services, and public administration. These technologies have demonstrated substantial efficacy in enhancing operational efficiency, ensuring regulatory compliance, and improving service delivery. In healthcare, automation tools integrated with standards such as Fast Healthcare Interoperability Resources (FHIR) have optimized administrative workflows and contributed to improved patient care coordination. Financial institutions have similarly leveraged automated commission tracking and digital onboarding systems to streamline complex processes while adhering to stringent compliance requirements. Within the public sector, the application of artificial intelligence (AI) and robotic process automation (RPA) in domains such as benefits distribution and resource planning illustrates the scalability of these technologies within rigid bureaucratic frameworks. A cross-sector comparative analysis reveals consistent success factors, such as phased implementation approaches, stakeholder alignment, and strong data governance practices, that contribute to effective deployment. The findings underscore the potential for cross-industry knowledge transfer, with the insurance sector often serving as a practical model for orchestrating large-scale digital transformation in similarly regulated environments.
Keywords: Digital process automation, cross-industry adoption, data interoperability, public sector innovation, regulatory compliance