Role of Artificial Intelligence in Modern Accounting Practices

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Published: Aug 1, 2025
DOI: https://doi.org/10.29070/bw04z498
Keywords:
Artificial Intelligence, Modern Accounting, Machine Learning, Robotic Process Automation, Predictive Analytics, Fraud Detection, Financial Reporting, Digital Transformation, Industry 4.0

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Authors

Darshana Kundhadia

Assistant Professor, S. K. Somaiya College of Arts, Science and Commerce, Ghatkopar East Mumbai, Maharashtra

Abstract

The processing, analysis, and interpretation of financial data is being revolutionized by the incorporation of Artificial Intelligence (AI) into contemporary accounting processes. Accounting routines are becoming more efficient, data is becoming more accurate, and real-time financial reporting is becoming a reality thanks to AI-powered technologies like robotic process automation, machine learning algorithms, and natural language processing. Strategic decision-making, including cash flow forecasting, fraud detection, and tax planning optimization, can benefit from these technologies' predictive insights, which in turn reduce human error. Also, by conforming to legal frameworks and standards, AI makes it easier to automate compliance operations, which boosts audit efficiency and transparency. With the help of AI, accountants will no longer be relegated to the position of data entry operators but will instead serve as strategic consultants, putting an emphasis on analytical and interpretive abilities rather than on repetitive bookkeeping. The necessity for ongoing skill development, implementation expenses, ethical concerns, and data security are some of the obstacles that this shift presents. Within the framework of Industry 4.0, this article gives a critical analysis of artificial intelligence's (AI) changing function in accounting, looking at its uses, advantages, disadvantages, and possibilities for the future. Organizations can gain a competitive advantage, boost operational efficiency, and make more accurate decisions by adopting AI-driven accounting solutions strategically, according to the research.

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Article Details

Issue

Vol. 20 No. 2 (2025): International Journal of Information Technology and Management (IJITM)

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