Adopting artificial intelligence in accounting: prerequisites and applications

David Roos, Dennis Schlegel and Patrick Kraus

Journal of Electronic Business & Digital Economics, 2025, vol. 4, issue 2, 374-384

Abstract: PurposeThe rapid development of artificial intelligence (AI) is transforming various fields, including accounting. AI-driven solutions have the potential to enhance efficiency and accuracy. This study examines the integration of AI in accounting by addressing two key research questions: (1) What are the prerequisites for incorporating AI solutions in accounting? and (2) Which accounting processes are suitable for AI adoption?Design/methodology/approachTo answer the research questions, a multivocal literature review (MLR) was conducted, systematically analysing both academic and practice-oriented sources.FindingsThe findings indicate that the successful implementation of AI in accounting depends on several prerequisites, including a suitable IT infrastructure, access to high-quality data, regulatory compliance and workforce upskilling. Furthermore, key accounting processes benefiting from AI integration include invoice processing, anomaly detection, financial forecasting and tax compliance.Originality/valueThis study contributes to the existing body of knowledge by providing a comprehensive and up-to-date analysis of AI in accounting, bridging the gap between research and practice.

Keywords: Artificial intelligence; Accounting; Automation; Digital transformation; Machine learning; Financial technology; Process optimization; GenAI; LLM (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eme:jebdep:jebde-03-2025-0023

DOI: 10.1108/JEBDE-03-2025-0023

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