Strategies for implementing artificial intelligence systems to improve efficiency artificial intelligence systems to improve the efficiency of management decisions in organizations

To date, the popularity of this research topic is due to the rapid development of artificial intelligence technologies and their impact on management decision-making processes in organizations. In the conditions of growing competition and rapid transformation of the business environment, the application of artificial intelligence allows companies to significantly improve management efficiency, timely respond to changes and maximize the optimization of routine processes. But despite significant achievements in the global practice of AI application in management, there is a deficit of specialized research in this area in Russia. In particular, many aspects of AI integration into decision-making processes remain poorly studied, which affects the speed and quality of implementation of these technologies in Russian companies. Based on this, there is a need for in-depth analysis and development of specific methodologies and strategies adapted to the peculiarities of the management context and Russian legislation. This article is devoted to the current topic of using artificial intelligence (AI) to optimize managerial decisions in the activities of organizations. It focuses on the key aspects that increase the efficiency of management processes, including the analysis and classification of factors affecting the quality of formation and implementation of management decisions. The article presents a review of recent scientific works on the application of AI in management activities, emphasizing the degree of research development in this area. The author describes in detail how AI technologies allow solving complex managerial tasks - from automation of routine operations to complex analytical forecasts. Special attention is paid to the barriers that may hinder the effective application of AI in corporate governance, including technical, organizational, and cultural aspects. In addition, the article highlights the prospects for further use of AI to improve the effectiveness of management decisions, and discusses potential areas of development and innovation. The article will be of interest to scholars and practitioners in the field of management, artificial intelligence and information technology, as well as to leaders of organizations interested in improving the efficiency of their management processes.