Accounting automation is increasingly transforming the way organizations manage their financial activities. The integration of Artificial Intelligence (AI), Robotic Process Automation (RPA), Optical Character Recognition (OCR), Machine Learning, and cloud-based accounting systems has changed traditional accounting practices. These technologies enable organizations to process financial information more efficiently while reducing repetitive manual work and improving the quality and timeliness of financial information.

This study examines the role of accounting automation in modern accounting practices, with particular emphasis on its impact on efficiency, accuracy, financial reporting, compliance, productivity, and the changing role of accountants. The study follows a descriptive research design and is based entirely on secondary data collected from academic journals, research papers, industry reports, and professional literature. The findings indicate that automation is increasingly being used for invoice processing, expense management, bank reconciliation, payment processing, data entry, payroll, and financial reporting.

The study finds that accounting automation can reduce processing time, minimize human errors, lower operational costs, improve fraud detection, enhance compliance, and provide real-time financial information. However, challenges such as high implementation costs, cybersecurity risks, data privacy concerns, skill gaps, employee resistance, integration difficulties, and concerns about job displacement remain significant. The study concludes that accounting automation should complement rather than completely replace human expertise. Accountants need to develop technological, analytical, and strategic skills to remain relevant in an increasingly digital accounting environment.