Machine learning workflow in modern accounting: From data ingestion to risk analysis

Anwar, Ashif (2025) Machine learning workflow in modern accounting: From data ingestion to risk analysis. World Journal of Advanced Engineering Technology and Sciences, 15 (2). pp. 2168-2175. ISSN 2582-8266

This article explores the transformative impact of artificial intelligence on the accounting profession. The article shows how machine learning algorithms and natural language processing have revolutionized financial data analysis, enhancing pattern recognition capabilities and anomaly detection in financial statements. It shows the significant efficiency improvements in document review and data extraction achieved through NLP technologies, while highlighting how AI has fundamentally transformed budgeting and financial forecasting practices through sophisticated predictive modeling techniques. The article further examines automation in data ingestion and client file management, showcasing measurable improvements in efficiency and resource utilization. Additionally, the article looks toward future directions for AI in accounting, including emerging technologies, regulatory considerations, and implications for professional skill development, providing a comprehensive overview of how AI continues to reshape the accounting landscape.