PROCESS OF EVALUATING THE DIGITALIZATION OF BUSINESS PROCESSES WITH THE IMPLEMENTATION OF AN AI PLATFORM

The article examines the implementation of digital technologies, in particular artificial intelligence (AI) in the form of AI platforms, into the business processes of companies. The paper presents a classification of approaches for measuring the real-world impact of AI integration, focusing on how AI can enhance business processes at both the tactical and strategic levels. Particular attention is paid to analyzing the effectiveness of these technologies at various stages of integration, from technical assessment to strategic implementation. AI platforms, in particular those based on neural networks, show high efficiency in automating and optimizing business operations, such as processing customer requests, marketing campaigns, recruiting, and financial forecasting. The article identifies key stages and methods for managing the implementation of digital solutions, and also proposes a classification of approaches to assessing the effectiveness of digital technologies. For practical application, technical and applied assessment methods were considered that allow ensuring the accuracy and effectiveness of the implementation of AI into business processes. Specific metrics, such as accuracy, recall, F1-score, and processing times, are highlighted as tools to gauge the technical effectiveness of AI platforms during the early stages of adoption. The importance of a strategic approach to digital transformation for achieving sustainable development and competitive advantages is emphasized. The study also opens up areas for further development, in particular, the creation of AI models for specific business tasks and research into the impact of digital technologies at the macroeconomic level. The findings suggest that the success of digital transformation depends not only on the technical deployment of AI but also on the organization's ability to continuously adapt and refine its business strategies in response to technological advancements.

Authors

Publication Details

Journal
THEORETICAL AND APPLIED ISSUES OF ECONOMICS
Published
2025-01-01
DOI
https://doi.org/10.17721/tppe.2025.50.3
Primary Topic
Economic and Technological Systems Analysis
Type
article
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article

PROCESS OF EVALUATING THE DIGITALIZATION OF BUSINESS PROCESSES WITH THE IMPLEMENTATION OF AN AI PLATFORM

Volodymyr Rusinov, Mykola Holovanenko
THEORETICAL AND APPLIED ISSUES OF ECONOMICS
Economic and Technological Systems Analysis
article

PROCESS OF EVALUATING THE DIGITALIZATION OF BUSINESS PROCESSES WITH THE IMPLEMENTATION OF AN AI PLATFORM

Volodymyr Rusinov, Mykola Holovanenko
article en

Abstract

The article examines the implementation of digital technologies, in particular artificial intelligence (AI) in the form of AI platforms, into the business processes of companies. The paper presents a classification of approaches for measuring the real-world impact of AI integration, focusing on how AI can enhance business processes at both the tactical and strategic levels. Particular attention is paid to analyzing the effectiveness of these technologies at various stages of integration, from technical assessment to strategic implementation. AI platforms, in particular those based on neural networks, show high efficiency in automating and optimizing business operations, such as processing customer requests, marketing campaigns, recruiting, and financial forecasting. The article identifies key stages and methods for managing the implementation of digital solutions, and also proposes a classification of approaches to assessing the effectiveness of digital technologies. For practical application, technical and applied assessment methods were considered that allow ensuring the accuracy and effectiveness of the implementation of AI into business processes. Specific metrics, such as accuracy, recall, F1-score, and processing times, are highlighted as tools to gauge the technical effectiveness of AI platforms during the early stages of adoption. The importance of a strategic approach to digital transformation for achieving sustainable development and competitive advantages is emphasized. The study also opens up areas for further development, in particular, the creation of AI models for specific business tasks and research into the impact of digital technologies at the macroeconomic level. The findings suggest that the success of digital transformation depends not only on the technical deployment of AI but also on the organization's ability to continuously adapt and refine its business strategies in response to technological advancements.

THEORETICAL AND APPLIED ISSUES OF ECONOMICS(50)
Openalex Percentile: Top 86%
Economic and Technological Systems Analysis
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