This report presents a structured literature review focusing on the application of artificial intelligence (AI) in auditing and accounting, based on four academic articles. The review explores how AI impacts auditing processes, highlighting common themes such as enhanced efficiency, accuracy, and the potential for robotic process automation (RPA) to disrupt manual systems. The analysis also identifies different themes across the articles, including varying perspectives on the role of human resources and the potential for bias in AI implementation. Managerial implications discussed include the benefits of AI in improving accuracy, reducing auditor workload, and promoting transparency. The review also addresses research limitations, such as the need for further investigation into AI tools and data provenance, while recommending future research to explore challenges and transparency in AI implementation within accounting departments. The report provides a comprehensive overview of the current research landscape, offering valuable insights for professionals and researchers in the field.