The Role of Artificial Intelligence in Improving the Efficiency of Administrative Processes

Abstract

This research aims to explore the impact of artificial intelligence (AI) on the efficiency of administrative processes within institutions. The study employs a descriptive approach, gathering and analyzing data from secondary sources such as books, literature, previous studies, academic journals, and case studies of applied models. It analyzes the effects of AI on administrative processes to highlight its significance in the fields of business and management. The research also presents practical examples of AI applications across various sectors such as healthcare, commerce, and finance. For example, companies like Unilever and Siemens have utilized AI technologies to enhance administrative performance, achieving notable improvements. The study also investigates AI’s role in optimizing human resource management, automating processes, providing effective data management solutions, and preemptively predicting risks. The research finds that AI can improve the efficiency of administrative processes by up to 30% in some cases, while also reducing operational costs. Siemens, for instance, has increased productivity through predictive maintenance systems, while Unilever has enhanced its marketing strategies through intelligent consumer behavior analysis. The study recommends that institutions should rely more on AI for planning and decision-making processes, focusing on human resource development to adapt to new technologies. It also advocates for the development of local AI systems to increase productivity and global competitiveness. Ultimately, this research contributes to a deeper understanding of AI's importance in improving administrative performance, offering valuable insights for institutions aiming to enhance their operational efficiency.