A SYSTEM-ORIENTED VIEW ON THE USE OF ARTIFICIAL INTELLIGENCE IN ENTERPRISE BUSINESS FUNCTIONS AND ITS IMPACT ON ECONOMIC EFFICIENCY

Maryna Kravchenko; Yevhenii Poliakov

doi:10.32782/2308-1988/2026-58-95

Maryna Kravchenko National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” https://orcid.org/0000-0001-5405-0159
Yevhenii Poliakov National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” https://orcid.org/0009-0005-1901-9806

DOI: https://doi.org/10.32782/2308-1988/2026-58-95

Keywords: artificial intelligence, business functions, digital integration, efficiency, technology type

Abstract

The purpose of the article is to systematize the use of artificial intelligence technologies in enterprise business functions and to assess their impact on economic efficiency. The authors classify AI technologies by functional complexity and develop a matrix linking technology types with ten key enterprise functions, expected benefits, and implementation complexity. The scientific novelty lies in the structured integration of technology types, functional areas, and efficiency effects within a unified framework. The results show that the impact of artificial intelligence differs across functions and is expressed in different forms, including cost reduction, production productivity growth, and improved decision-making quality. The findings have practical relevance for enterprises planning future artificial intelligence adoption in terms of technology use per function.

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