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Artificial Intelligence in Accounting Information Systems: Enhancing Financial Reporting Accuracy, Audit Efficiency, and Decision-Making

🗓️ October 25, 2026 📚 The Multidisciplinary Review Vol. 1 Issue 3
Md. Ruhul Amin1✉
1 Associated Professor, Department of Business Administration, Dhaka International University
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Abstract

Artificial intelligence (AI) is shaping Accounting Information Systems (AIS) by allowing firms to automate mundane accounting tasks, contribute to managerial decision-making, enhance auditing processes, and increase the accuracy of financial reporting. Traditional AIS are mostly created on the basis of specified rules, human data processing and traditional internal controls. This can restrict their capacity to review vast quantities of sophisticated financial data in a timely manner. Artificial intelligence (AI) technologies including machine learning, natural language processing, robotic process automation and predictive analytics offer fresh answers to these limitations. This paper critically reviews the role of AI in AIS. It’s about the effect of artificial intelligence on the accuracy of financial statements, the effectiveness of auditing, fraud detection and the development of strategic options. It is a conceptual approach to research that involves a comprehensive review of relevant literacy and decision-making frameworks and professional standards. The paper said artificial intelligence can enhance transaction classification, identify financial anomalies, speed audit data analysis and provide real-time financial insights. However, some of these benefits depend on cybersecurity, governance, expert monitoring, data integrity and system stability. The essay also discusses other issues such as algorithmic bias, explanations, implementation costs, privacy problems, and the ever-expanding skill set that accountants must acquire. Therefore, AI should not replace the professional judgment of accountants, but rather used as a tool to assist them in making those decisions. The report concludes with a call for a shared governance model, a call for technical innovation along with human accountability, ethical safeguards and ongoing oversight. The results of this research are useful for organizations who want to enhance their accounting procedures in a more advanced and data driven commercial environment.
Keywords: Artificial Intelligence, Accounting Information Systems, Financial Reporting, Audit Efficiency, Decision-Making, Fraud Detection, Machine Learning, Accounting Automation.

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Š 2026 GNR Publication. Published under the CC BY 4.0 License. Archived in the Internet Archive. ISSN: 3139-6801.
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