INTEGRATION OF ARTIFICIAL INTELLIGENCE AND IoT IN DIGITAL TRANSFORMATION OF PROCESS MANAGEMENT

DOI: 10.31673/2415-8089.2025.020120

Abstract

The article explores the integration of modern business process management with
artificial intelligence (AI) as a factor in increasing the operational efficiency of enterprises. The
authors analyze the evolution of the process approach in the context of digital transformation and
justify its relevance in modern conditions. The relationship between high-quality process management
and the possibility of effective use of AI is revealed, in particular in the aspects of data processing,
automation of operations and decision-making.
Methodologically, the article is based on a phased model of business process transformation using
the example of the order-to-pay (O2C) process, which includes determining process owners,
identifying customers, mapping the current state, establishing performance metrics, using digital
tools, reconstruction and further monitoring. Particular attention is paid to intelligent process
analysis, digital twins, generative AI, robotic automation and other technologies that contribute to a
deep rethinking and optimization of enterprise activities.
Based on the cases of leading companies, examples of successful implementation of digital process
management are demonstrated. It is emphasized that the key factors of success are not only
technologies, but also effective cross-functional interaction, change management and strategic vision
of leaders. The article emphasizes the need for process-oriented thinking in the context of the
development of AI and offers practical approaches to creating adaptive, scalable and highly effective
business processes.
Keywords: process management, artificial intelligence (AI), intelligent process analysis, digital
transformation, Internet of Things (IoT), operational efficiency, cross-functional collaboration.

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