International Journal of Science, Engineering and TechnologyAuthors: Rahul B. Kulkarni
Abstract: IT Asset Lifecycle Management (ITALM) is a critical function in modern enterprises, encompassing procurement, deployment, maintenance, auditing, and retirement of IT assets. Effective lifecycle management ensures operational efficiency, regulatory compliance, and cost optimization, yet traditional methods are often manual, error-prone, and resource-intensive. Robotic Process Automation (RPA) has emerged as a transformative technology for automating repetitive and rule-based processes within ITAM, offering opportunities for enhanced accuracy, speed, and consistency. By automating asset discovery, inventory updates, compliance monitoring, and retirement processes, RPA minimizes human error, reduces operational costs, and improves adherence to regulatory standards. Furthermore, RPA enables real-time integration with enterprise systems such as ERP, ITSM, and CMDB, providing centralized visibility and data-driven insights for strategic IT planning. This review examines current research and case studies on the application of RPA in IT asset lifecycle management, analyzing its impact on operational efficiency, financial outcomes, and compliance. Challenges, including integration complexity, data quality issues, and resistance from IT staff, are also discussed. Finally, the article outlines future directions, including AI-enhanced RPA, IoT integration, predictive maintenance, and hybrid human-AI collaboration, which collectively promise to evolve IT asset management into a more autonomous and intelligent process. The findings suggest that organizations adopting RPA strategically can achieve measurable improvements in efficiency, accuracy, cost-effectiveness, and long-term asset value.
