Artificial Intelligence (AI) has emerged as a transformative technology reshaping accounting systems and financial management practices in modern organizations. The integration of AI-driven technologies such as machine learning, robotic process automation, predictive analytics, and intelligent accounting software has significantly improved accounting accuracy, operational efficiency, and financial decision-making processes. The present study examines the role of Artificial Intelligence in modern accounting systems with special reference to accounting automation, financial reporting, error reduction, and strategic financial decision-making. The study adopts a quantitative and descriptive research design using primary data collected from 400 accountants, finance professionals, auditors, and managers working in AI-enabled organizations across India. A structured questionnaire based on a five-point Likert scale was used for data collection. Statistical tools including Reliability Analysis, Factor Analysis, Correlation Analysis. were applied using SPSS software. The findings reveal that AI-driven accounting systems significantly improve financial accuracy, reporting efficiency, fraud detection, and managerial decision-making capabilities. The study also identifies that automation and predictive analytics positively influence accounting productivity and organizational transparency. The results indicate that AI-enabled accounting systems reduce human error, improve data processing speed, and strengthen financial compliance and auditing processes. The research contributes to the growing literature on Artificial Intelligence and accounting transformation while providing practical implications for organizations seeking to integrate AI technologies into accounting and financial operations. The study recommends that organizations strengthen technological infrastructure, employee training, cybersecurity systems, and ethical AI implementation practices to maximize the effectiveness of AI-driven accounting systems.