Artificial Intelligence in the Enterprise Management System

Abstract

The article aims to systematise theoretical approaches to the use of artificial intelligence in business activities and analyse the current level of its implementation in the Ukrainian business environment. The article presents practical approaches to improving enterprise management efficiency using intelligent technologies. The study proceeds on the assumption that artificial intelligence in a modern enterprise serves not only an instrumental function but also managerial and analytical ones, since it affects the speed of data processing, the quality of managerial decisions, the parameters of automation, and the adaptability of business processes. The methodological framework combines a systems approach, analysis and synthesis, comparative analysis, tabular and graphical generalisation, and structural-logical modelling. The empirical basis includes cases of Ukrainian companies that use artificial intelligence in logistics, retail, financial services, information technology, and e-commerce. The study establishes that the use of artificial intelligence in Ukraine is gradually expanding, but its integration remains uneven across industries, business sizes, and enterprise digital maturity. The highest practical impact is observed in demand forecasting, customer service automation, credit scoring, logistics planning, marketing personalisation, and management analytics. The main implementation barriers are generalised as limited investment resources, insufficient data quality, inadequate staff preparedness, regulatory uncertainty, and risks related to confidentiality, ethical issues, and algorithmic opacity. The study substantiates that the assessment of artificial intelligence effectiveness should be based on a combination of financial, operational, logistics, production, marketing, customer, analytical, information, organisational and innovation indicators.