Research on AI-Driven Financial Audit Efficiency Improvement and Financial Report Accuracy

In the efficient development of artificial intelligence technology, financial auditing and reporting work is facing profound changes. This article studies the use of artificial intelligence to improve the efficiency of financial auditing and ensure the accuracy of financial reports. It first constructs a comprehensive artificial intelligence-based financial auditing and reporting system, then analyzes current problems such as lagging audit evidence collection and inaccurate reports, and finally proposes the use of advanced technologies such as big data, natural language processing (NLP), and robotic process automation (RPA) to address these challenges. AI can not only improve the efficiency and accuracy of automated financial auditing processes, but also enhance the consistency and transparency of financial reports, thereby providing a good foundation for the digital management transformation of enterprises.