Financial Automation Driven by Artificial Intelligence: The Integration and Application of RPA and Blockchain Technology

Abstract

In traditional financial processes, repetitive operations rely on manual intervention, which leads to efficiency bottlenecks and data tampering risks. This study generates standard operation sequences through RPA process mining and builds atomic operation units based on smart contracts. This paper transforms the distributed RPA controller to implement parallel contract calls and combines zero-knowledge proof to ensure cross-organizational data security. The blockchain status channel can be used to monitor anomalies in real time and trigger on-chain evidence storage, and the “execution-evidence-audit” closed loop can be formed through oracle docking supervision. The experiment shows that the processing cycle is shortened from an average of 20.76 hours for manual work to 6.23 hours, and the audit trail completeness rate is improved. Research has confirmed that the deep integration of RPA and blockchain can build an efficient, secure and reliable financial automation system, providing key technical support for digital transformation.