Impact of Artificial Intelligence on Management Control Processes

Digital transformation has developed significantly in the 21st century, and special attention has been paid to it in business and society. It is becoming more relevant and presents the private and public sectors with new challenges. Computer and mobile devices, information, and communication technologies are actively used in social, economic, industrial, engineering, and other fields, to create and implement their respective new-generation software applications. New paradigms based on the software industry including the development, and creation of new methods and methodologies or perfecting the existing ones are receiving a lot of attention worldwide, on which artificial intelligence (AI) had a significant impact. Regarding the ongoing digital transformation of organizations and business models companies have been facing the challenge for years of digitalizing the processes in management control. These processes have been undergoing fundamental changes, driven by the rapid development of AI in recent years. In this context, one of the most innovative and significant technological breakthroughs was the development of generative AI. AI tool ChatGPT plays an important role in advancing scientific progress by promoting the use of artificial intelligence, improving user interaction and accelerating innovation in various industries. This paper explores how AI can increase the effectiveness and efficiency of decision-making and management control. Efficiency is achieved through strategic decisions and efficiency through operational decisions. By integrating AI technologies, organizations can automate repetitive tasks, streamline data processes, and improve financial reporting and forecasting accuracy. AI-based analytics provide managers with deeper insights that enable more informed decisions about resources, processes, products and services. In addition, the paper examines how AI has shifted organizational focus from operational efficiency to strategic priorities. This change has contributed to a more flexible and responsive management control framework that allows organizations to adapt quickly their control system to changing market conditions and maintain a competitive advantage. In addition, one of the most prominent fields today is nanomanufacturing and the optimization of production processes. Through AI-driven optimization, it becomes possible to refine the synthesis and assembly of nanostructures, significantly improving precision and efficiency in production.