Leveraging robotic process automation to optimize government operations and empower citizens: A framework for enhancing service delivery and ensuring compliance

Abstract

The integration of Artificial Intelligence (AI) and Robotic Process Automation (RPA) in governmental operations is transforming the efficiency of the public sector, service delivery, and policy implementation. This review research systematically examines the primary themes, benefits, and constraints of AI and RPA in governance, emphasizing efficiency, cost reduction, security, and regulatory compliance. Research indicates that AI-driven automation enhances decision-making, predictive analytics, fraud detection, and citizen engagement, while also improving the automation of public services. However, challenges like as data privacy concerns, cybersecurity threats, integration problems, and ethical dilemmas provide significant obstacles to widespread implementation. This systematically reviews current literature to identify research gaps and propose strategic policy recommendations for addressing regulatory limits and security threats. The research suggests that future innovations must prioritize the establishment of efficient AI governance models, enhancement of data protection systems, and assurance of transparency to optimize the utilization of AI and RPA in transforming the public sector.