The article examines the challenges of managing a modern company in increasing dynamics of digital transformation. Moreover, the integration of artificial intelligence (AI) is a key element ensuring company management flexibility, adaptability, and proactivity. The development of a holistic hierarchical economic-mathematical model synthesises strategic planning, operational management, and predictive analytics. The model is based on machine and deep learning algorithms, and considers dynamic interrelationships between internal and external factors influencing the company's activities. The research considers practical aspects of AI implementation in critical business processes, analyses its on companies key performance indicators, 2020-2024. It also studies industry specifics, macro- and microeconomic trends, and socio-cultural aspects. The implementation of AI intensifies decision-making, minimises cognitive biases, optimises time costs, affects the operational processes, increases both the level of customer interaction personalisation and the company's competitiveness. Moreover, the article concerns with AI ethical aspects, development of control and regulatory mechanisms to provide transparency, fairness, and responsible decision-making.
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Aleksandr Sekisov (2025) studied this question.
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