Enhancing Tax Technology with AI/ML: Monitoring ERP Transactions for Real-Time Compliance and Efficiency

In the complex tax environment of today, companies face more stringent legal scrutiny, more data, and evolving compliance criteria. Though they are essential for managing financial transactions for global businesses, Enterprise Resource Planning (ERP) systems sometimes struggle with the complexity and dynamic character of present tax responsibilities. This study looks at how Machine Learning (ML) and Artificial Intelligence (AI), including advanced approaches like deep learning and reinforcement learning, can transform tax compliance systems. Embedding AI/ML within ERP systems lets businesses achieve adaptive compliance, automatic anomaly detection, and real-time transaction monitoring, so significantly reducing risk and human effort. By means of use cases and case studies, this paper demonstrates measurable gains in operational efficiency and compliance accuracy, hence evaluating the efficacy of AI/ML.