The Application of Artificial Intelligence in Accounting and Financial Analysis: Automating Business Processes for Enhanced Efficiency and Decision-Making
DOI:
https://doi.org/10.31150/ajebm.v8i3.3432Keywords:
AI, Accounting, Financial Analysis, Automation, Machine Learning, Predictive Analytics, Decision IntelligenceAbstract
The development of Artificial Intelligence (AI) has enormously impacted the accounting and financial analysis industry with new possibilities for automation, efficiency, and effectiveness. This paper investigates AI`s impact in accounting and financial analysis by reviewing its automation feature in business processes, decision-making, and financial forecasting. The paper discusses major AI technologies including machine learning, natural language processing, and robotic process automation and their use in financial reporting and auditing, tax compliance, and predictive modeling. Moreover, the study aims to analyze the-use and implementation of AI and its associated advantages or concerns such as ethical issues, data protection, required skills- matching learning for the professionals, among others. This paper intends to show how AI changes accounting and financial analysis through literature review, case studies and seeks suggestions for further practices and studies.
Downloads
References
A. I. Weinberg and A. Faccia, ‘Transforming triple-entry accounting with machine learning: A path to
enhanced transparency through analytics’. 2024.
J. Kokina and T. H. Davenport, ‘The role of AI in accounting: A review of current applications and future directions’, J. Emerg. Technol. Account., vol. 19, no. 1, pp. 1–15, 2022.
N. Sutton, ‘How AI is revolutionising accounting’, Account. Age, 2024.
M. Schreyer, H. Hemati, D. Borth, and M. A. Vasarhelyi, ‘Federated continual learning to detect accounting anomalies in financial auditing’. 2022.
V. Kanaparthi, ‘Exploring the impact of blockchain, AI, and ML on financial accounting efficiency and transformation’. 2024.
M. Piazza, M. Passacantando, F. Magli, F. Doni, A. Amaduzzi, and E. Messina, ‘Explainable artificial intelligence for identifying profitability predictors in financial statements’, Unpubl. Manuscr., 2025.
L. Zhou and G. Kapoor, ‘Ethical considerations in AI-driven accounting and financial analysis’, J. Bus. Ethics, vol. 180, no. 2, pp. 345–360, 2023.
M. Cao, R. Chychyla, and T. Stewart, ‘Big data and AI in auditing: Opportunities and challenges’, J. Inf. Syst., vol. 35, no. 2, pp. 45–62, 2021.
J. Zhang, X. Yang, and D. Appelbaum, ‘AI-powered predictive analytics in accounting: A case study
approach’, J. Account. Finance, vol. 62, no. 4, pp. 78–95, 2022.
A. Kogan, D. Papanikolaou, and A. Seru, ‘AI-driven financial analysis: A new paradigm for decision-making’,
Q. J. Finance, vol. 13, no. 2, pp. 205–230, 2023.
J. D. Warren, K. C. Moffitt, and P. Byrnes, ‘AI in financial analysis: Enhancing accuracy and efficiency’, J. Financ. Transform., vol. 55, pp. 45–60, 2023.
T. H. Davenport and R. Ronanki, ‘AI in finance: Transforming decision-making and risk management’, Harv. Bus. Rev., vol. 101, no. 1, pp. 88–96, 2023.
S. G. Sutton, M. Holt, and V. Arnold, ‘AI in accounting: Challenges and opportunities’, Int. J. Account. Inf. Syst., vol. 40, pp. 100–115, 2021.
NetSuite, ‘AI in accounting: A transformation’, NetSuite, vol. 72, pp. 55–90, 2024.
M. Arnaboldi, C. Busco, and S. Cuganesan, ‘Accounting, accountability, and AI: The future of financial reporting’, J. Account. Public Policy, vol. 39, no. 4, pp. 106–120, 2020.
M. A. Vasarhelyi, A. Kogan, and B. M. Tuttle, ‘AI and the future of accounting: A comprehensive review’,
Account. Horiz., vol. 36, no. 3, pp. 1–20, 2022.