Performance of prediction and workflow is very important for enterprise process automation. It has advantages such as increasing the efficiency of banking operations, improving resource utilization and increasing banking flexibility for business execution. The retail banks’ branch offices distributed information technology system. Traditional operating systems have limitations which make it difficult for branch banking to support other new user services. Connecting with other bank systems or computer devices poses a difficulty. The method proposed in this paper is based on artificial intelligence and dynamic workflow technology. The method is implemented by an object-oriented and edge computing method, which could be used to create a flexible banking system in an IoT environment, allowing new transaction business processes to be added and modified, requiring real time in cloud computing in IoT. This makes banking user services flexible and more competitive in terms of achieving customer satisfaction. Through this study, we devised a unified process control module to help users implement flexible banking transaction processes, decreasing banking system development time and error rates during banking system development and maintenance. Our process can also increase the usability of banking computer servers and transaction system stability, giving banking services more flexibility and increased competitiveness.

预测和工作流程的性能对于企业流程自动化非常重要。它具有诸如提高银行业务效率，提高资源利用率以及提高银行业务执行灵活性的优势。零售银行的分支机构分布式信息技术系统。传统的操作系统具有局限性，这使得分支银行很难支持其他新的用户服务。与其他银行系统或计算机设备的连接带来了困难。本文提出的方法是基于人工智能和动态工作流技术的。该方法由面向对象的边缘计算方法实现，可用于在IoT环境中创建灵活的银行系统，从而允许添加和修改新的交易业务流程，需要实时进行物联网中的云计算。这使得银行用户服务在实现客户满意度方面更加灵活和更具竞争力。通过这项研究，我们设计了一个统一的流程控制模块，以帮助用户实施灵活的银行交易流程，减少银行系统开发时间和银行系统开发与维护期间的错误率。我们的流程还可以提高银行计算机服务器的可用性和交易系统的稳定性，从而为银行服务提供更大的灵活性并提高竞争力。减少银行系统开发和维护期间的银行系统开发时间和错误率。我们的流程还可以提高银行计算机服务器的可用性和交易系统的稳定性，从而为银行服务提供更大的灵活性并提高竞争力。减少银行系统开发和维护期间的银行系统开发时间和错误率。我们的流程还可以提高银行计算机服务器的可用性和交易系统的稳定性，从而为银行服务提供更大的灵活性并提高竞争力。