Zhiling Enterprise's New Future, RPA+AI Driven Management Intelligent Upgrade | I-Search and Ruihuang Finance Joint Technology Salon Successfully Held

Wang Pan, General Manager of I-Search Business Department, first pointed out in the sharing that under the background of rapid development of technology and information technology, continuous innovation of Internet plus and open and diversified values, enterprises are facing the risk of being "hit by dimension reduction" from technology to business model, and must strive to achieve high maintenance and growth.

Wang Pan emphasized that traditional financial management is accelerating its transformation, with standardized and repetitive tasks (such as financial accounting) gradually being taken over by automated tools, promoting the migration of financial functions from "transaction processing" to "strategic support". In the future, more resources will be invested in participating in strategic planning (such as mergers and acquisitions, tax planning), providing business analysis and cost optimization suggestions for business departments, and achieving compliance control through intelligent tools.



3.AI driven innovation practice in enterprise financial business
Cao Jie, the manager of the application development department at I-Search, gave a presentation on the theme of "AI driven innovation practices in enterprise financial business". He elaborated on the rise of industrial software and the application and development process of the Internet. From online/computerized to information-based/shared, and then to digital/intelligent, each stage has a profound impact on financial business.
In addition, Cao Jie shared the content of business driven intelligent financial construction and comprehensive digital transformation of enterprises, demonstrating the innovative application practice of AI technology in the financial field.


4.RPA Financial Practice: A Comprehensive Guide from Breaking down Classic Cases to Implementing Scenarios
Finally, Guo Juan, Product Solution Manager of I-Search, gave a presentation on the theme of "RPA Financial Practice: A Comprehensive Guide from Classic Case Analysis to Scene Implementation".


In order to help guests better understand the application of RPA in finance, Guo Juan dismantled several classic cases, such as the automation of payment instruction input in Malaz Company, supplier clearing in a certain power limited company, depreciation provision financial work in a nuclear power generation unit, and online banking balance query in a manufacturing enterprise. These cases demonstrate the significant effectiveness of RPA in improving efficiency, reducing costs, and enhancing accuracy. For example, a nuclear power generation unit achieved depreciation provision through RPA, with an accuracy rate of 95%, an overall improvement in reporting efficiency of 100%, and an annual saving of 3672 working hours.