At present, the new round of technological revolution and industrial change is developing deeply, and more and more enterprises are focusing on the application of automation and intelligent innovation technology. Digital transformation has become the development direction of all industries, and the same is true for the banking industry, whose financial service transformation and innovation have also been moving towards a more high-performance technological transformation. Under the environment of both challenges and opportunities, Bank of Beijing has stepped into the new track of digital transformation, and while integrating external resources, it has become an urgent need to dig deep into internal resources and actively explore new means to reduce costs and increase efficiency.
Taking into account the actual situation of Bank of Beijing's own business development, Ztenith, from building pilot application scenarios to realizing a complete set of RPA system, has significantly improved Bank of Beijing's business efficiency and realized the intelligence of the scenarios, which has led to a greater improvement in process standardization and customer praise. It helps Bank of Beijing's transformation strategy to advance rapidly, improves the quality and efficiency of the bank's operation through technological innovation, utilizes AI automation tools to enhance the effectiveness of the bank's service experience, business efficiency, and resource allocation in three aspects, and promotes the development of the bank's business innovation and digital transformation.
In the traditional environment, the banking industry faces three major challenges. First, most of the bank's business processes are cumbersome and time-consuming to operate. In their daily work, banking personnel face a large number of daily, repetitive and cumbersome operations, and due to the low degree of integration of the bank's current system, business personnel are often required to carry out multi-system operations, which are complex and difficult to solve all the problems in a relatively short period of time; secondly, the content of the report is large, and there is a great deal of pressure on the timeliness of the report. Banks need to extract the relevant source data in a variety of different systems to create report information, update report information, etc., the data requirements of the task and the immediacy of the high; Third, the economic environment is unpredictable. Third, the unpredictability of the economic environment. As the economic environment changes, the rules and terms and conditions that the banking industry needs to comply with also need to change with the changing environment, which is a great challenge.
Currently, Ztenith is exploring the construction of RPA process automation with Bank of Beijing's Head Office Technology Department, Beijing Branch, City Subcenter Branch, Credit Card Center, and other branches, realizing process automation in a number of application scenarios such as customer service, credit card approval, mortgage processing, risk prevention and control, and so on.
1. Credit Process Robot
The credit process robot realizes a series of automated processes around the application, approval, inspection and other business aspects of credit business. First, it has put on-line the process of one-key inquiry of enterprise information. In the pre-credit application process, the process robot automatically collects information on industrial, commercial and judicial credit failures, and after the application of this process, the time consumed for each business is shortened from the previous 20 minutes to 5 minutes. Secondly, we designed the automatic credit image uploading process, and utilized process robots and OCR recognition technology in the middle of the credit process to identify, classify and upload more than 60 types of paper documents, such as business licenses, articles of incorporation and financial statements, so as to enable a branch to reduce the number of manual operations by more than 700 hours/year. Third, the deployment of credit system automatic repayment process, in the post-loan repayment link, the process robot first maintains and enters the repayment ledger information, combined with manual verification, then the robot submits the debit information and maintains the data on the repayment ledger, realizing the function of debiting the principal amount of the loan for credit business. After the optimization of the process robot, each business is shortened from 20 minutes of traditional manual operation to 1 minute. The application of the above credit process robot effectively reduces the workload of frontline account managers and realizes multiple improvements in user experience, business accuracy, risk prevention and control capabilities.
2. Letter of Inquiry Intelligent Processing Robot
The inquiry letter process includes 7 links and 16 types of business. At the branch level, it involves four departments, namely, Operation Management Department, Transaction Banking Department, Financial Markets Department, and Post-Investment and Post-Loan Management Department, and the query requires the use of nearly 10 types of business systems in the bank, such as the statement system, AS400 system, credit system, bill system, pledges and receipts registry, custodian system, and wealth management system. At the sub-branch level, it needs to go through the two-person audit of the sub-branch business office and the company department, and the relevant department and office of the branch, and the types of business include deposit and withdrawal, entrusted loan, guarantee, promissory note, commercial bill of exchange, foreign exchange trading contract securities, and property rights documents, etc. The operation process is complicated. The operation process is complicated, which takes about 8-9 working days in order to receive the inquiry letter from the business office, preliminary examination and entry in the sub-branch, review by the business office and corporate department of the sub-branch, preliminary examination by the responsible department of the branch, review by the responsible department of the sub-branch, printing and sending by the Operation Management Department, and archive management by the Operation Management Department. Moreover, due to the large amount of entry work, it is very easy to be sloppy and careless. In addition, the entry rules for the business are not consistent from bank to bank, and there are cases of irregularities in the entry of details.
Based on the above pain points of inquiry letters in the branches, the branch sought to minimize the operations at the branch level, improve the efficiency of inquiry letter processing, and save labor costs. Based on this purpose, the online inquiry letter processing process is fully optimized, with the robot automatically completing the three business processes of preliminary review and entry at the branch, review by the branch's business office and the Corporate Department, and file management by the Operations Management Department by simulating manual operation.
Since its launch, the Intelligent Inquiry Letter Processing Robot has effectively solved the three major pain points faced during the operation of inquiry letters, namely the lack of accuracy in information entry, complexity of the operation process, and large personnel costs. In the business context of multiple cross-systems, complex rules and large data volume, the robot is able to seamlessly connect various business systems on a 24/7 basis, increasing the business processing speed by nearly 70% and saving about 80% of time. Replacing the cumbersome and repetitive manual operations of the branch by robots frees employees from inefficient work, and accurately identifies various types of information, eliminating potential employee moral risks and human errors, so that the accuracy of the process reaches 100%.
The application of RPA process breaks down the barriers between systems, and the gapless triggered work breaks down the time, space, and manpower limitations. Automatic triggering of business inquiry, identification, downloading, entry and uploading makes the business process smoother and more efficient, and the acceptance time is reduced from hourly to minute level, which will save 4,000 hours for the branch end in a full year.
