APPLICATION OF ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN OPTIMIZING MANAGEMENT OF MODERN ENTERPRISES

Abstract

The article explores the application of artificial intelligence (AI) technologies in optimizing management processes of modern enterprises, with a focus on both global practices and the Ukrainian business environment. The study emphasizes the growing importance of AI in addressing challenges faced by contemporary managers, including the need for rapid and accurate decision-making, the processing of large volumes of data, and the optimization of organizational resources under conditions of digital transformation and global competition.

The paper identifies a wide range of AI-driven tools that are reshaping managerial practices. These include decision support systems, predictive analytics, automated human resource management platforms, robotic process automation (RPA), intelligent ERP solutions, natural language processing (NLP) systems, and chatbots for internal communications. By employing these technologies, companies can significantly enhance strategic planning, resource allocation, personnel motivation, quality control, and interdepartmental coordination. Special attention is given to machine learning and neural networks, which provide predictive insights by uncovering hidden patterns in business performance, employee behavior, and market trends.

A comparative analysis highlights the considerable gap between the implementation of AI solutions in foreign corporations such as Amazon, Google, and Microsoft, and Ukrainian enterprises, where adoption remains limited to large organizations like PrivatBank, EPAM Ukraine, and Rozetka. The study also discusses key challenges associated with AI implementation, including technological barriers (high investment requirements, data quality, cybersecurity risks), organizational issues (resistance to change, staff retraining, shifts in management structure), and ethical concerns (transparency of algorithms, data privacy, legal responsibility).

The authors propose a step-by-step approach to AI integration, starting with pilot projects, investments in workforce digital literacy, and the establishment of ethical guidelines for AI in management. The conclusions stress that AI has the potential to revolutionize all core management functions, but success depends on aligning technological solutions with organizational readiness, financial capacity, and long-term strategic goals. Future research should focus on industry-specific recommendations, the cultural impact of AI on enterprises, and long-term economic outcomes of AI adoption in managerial practices.