THE IMPACT OF ARTIFICIAL INTELLIGENCE IN ACCOUNTING AND AUDITING ON IMPROVING THE FINANCIAL RESULTS OF CONSTRUCTION COMPANIES COMPANIES
Abstract
The study reveals the prerequisites for the use of artificial intelligence (AI) systems and determines the inevitability of AI adoption across all sectors of the economy. The paper presents definitions of artificial intelligence and provides a characterization of the main evolutionary stages of its development and application. Attention is paid to the initial stage of AI formation, which was associated with the development of algorithms aimed at automating relevant processes; it is emphasized that under current conditions AI is used as an independent system. The research shows that certain enterprises actively employ AI-based information aggregation platforms available in the public domain in accounting and auditing practices (PwC, KPMG), as well as develop their own proprietary AI applications. The expediency of using AI in accounting, analysis, and auditing at construction enterprises is substantiated in order to ensure the quality and speed of information processing. The obvious advantages of applying AI in accounting and auditing by construction enterprises are identified and generalized, namely the automation of routine processes and the transition from a retrospective to a predictive-analytical approach to accounting. The study demonstrates that the use of AI by construction enterprises makes it possible to optimize processes, increase efficiency, and enhance the transparency of information for managerial decision-making, which has a positive impact on the improvement of their financial results. Examples of AI application in both the domestic construction sector and the international construction industry are presented. Based on the analysis of statistical data, it is determined that in Ukraine the average level of practical AI adoption by business entities, regardless of industry affiliation, ranges from 18% to 26%. The main reasons for this include users’ distrust of such innovative technology, as well as concerns about the potential leakage of confidential information beyond the enterprise.
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