Research on Optimizing Financial Audit Process Using AI

This paper aims to study how to use artificial intelligence technology to intelligently upgrade the financial audit process and enhance the efficiency and accuracy of audit operations. This study uses a case analysis method to conduct a detailed investigation of the operating model of a multinational company. It integrates innovative applications of artificial intelligence technologies such as machine learning, deep learning, and natural language processing, expands the boundaries of intelligence, and automates audit stages such as automatic data collection, preprocessing, anomaly detection, and report preparation. Compared with traditional audit methods, the results show that the application of artificial intelligence has significantly improved the efficiency of audit work, greatly shortened the audit cycle, optimized the accuracy level of error identification, and significantly improved the accuracy level of risk prediction. The application of artificial intelligence technology has promoted the comprehensive upgrade of the financial audit process and significantly improved the efficiency and accuracy of audit activities. The system has shown obvious performance advantages in risk identification and report preparation.