AI-Driven Innovations in Accounting for Online Businesses: Enhancing Financial Accuracy, Compliance, and Fraud Prevention

The rapid expansion of online and internet-based businesses has introduced new complexities in financial management, requiring adaptive and efficient accounting solutions. Traditional accounting methods often struggle with high transaction volumes, decentralized revenue streams, regulatory compliance challenges, and increased fraud risks. This study explores the transformative role of artificial intelligence (AI) in addressing these challenges by automating financial reconciliation, enhancing fraud detection, improving regulatory compliance, and optimizing cost efficiency. By evaluating AI-driven accounting methods, including machine learning for financial forecasting, robotic process automation (RPA), and natural language processing (NLP) for compliance reporting, this research highlights AI’s effectiveness in modernizing financial management. Comparative analyses between traditional and AI-driven accounting methods reveal significant improvements in financial accuracy, operational speed, fraud prevention, and tax compliance. The findings underscore AI’s potential in revolutionizing accounting for digital businesses, providing insights into future developments, regulatory considerations, and workforce adaptations necessary for seamless AI integration.

کلیدواژه ها:

AI-driven accounting ، financial automation ، online business accounting ، fraud detection ، regulatory compliance