Audit Automation Process and Realization Path Analysis Based on Financial Technology

Against the backdrop of rapid development of financial technology, traditional audit models are accelerating their transformation towards automation and intelligence. This article conducts research on the basic theory of audit automation, constructs a system architecture with data collection automation, data analysis decision support systematization, and data processing process automation as the framework structure, and deeply explores the problems of data heterogeneity, low algorithm credibility, and weak legal adaptability in the current implementation process. Based on this, solutions are proposed to build a cross system data harmony processing mode, improve the explanatory ability of intelligent audit models, and enhance the matching path of legal and regulatory standards. Thus, it is found that financial technology plays a key leading role in achieving efficient, transparent, and legal audit. Audit automation will be the backbone in leading the digital transformation of the industry in the era of financial technology.