On the RPA application within ten scenarios banking sector

With the development of science and technology level at this stage, the economy booming, a lot of people need to go to the bank's operations gradually shifted to mobile phones and other mobile terminal, which led to the banks need more efficient and convenient service options to meet customer needs demand. Now many banks or bank then processes still rely on the traditional ways and means, which led to a lot of lost time costs and labor costs; coupled with the continuous development of the Internet and expansion of financial difficulties banks face even more obviously, only to achieve a more intelligent technology and information-based work processes in order to remain invincible in the fierce competition. RPA appear process-oriented robot precisely to solve the problems inherent in this stage many banks and processes, a perfect match for the exploitation and development banking. The following forum RPA RPA gave you talk to ten scenarios applied in the banking sector.

1. ××× demand service

Banks often require large batch processing from account inquiries, credit inquiries and other business inquiries, customer service team is difficult to solve and obtain these data in a very short period of time. The RPA robot can effectively solve the low priority query, the customer service team to focus on high priority query. Not only that, RPA can also help overcome the team to reduce the time and cost required to verify customer information from different systems, thereby contributing to improved cooperation between banks and customers.

2. Bank Accounts payable query

Accounts payable (AP) is a tedious process, requires the use of optical character recognition (OCR) technology supplier invoice digitally scanned, complex invoices from among many information extracted destination information, and verified, then subjected to for processing. RPA can automate the process of this behavior and automatically credited to the supplier's payment account after the verification and coordination errors.

3. Bank credit card processing

It spent the past few weeks that the bank of time and a lot of customer service to verify and approve the customer's credit card application. Long wait time and query harassment often lead to customer dissatisfaction and complaints, sometimes even leading to customer request cancellation request. But with the help of RPA, the bank can speed up the credit cards. RPA software in just a few hours to collect customer information, documents, credit checks, background checks and verification of income and decide whether to issue credit based on the customer's credit card.

4. Bank mortgage loan processing

Given the differences in different bank lending rate review and, usually, the bank completed the mortgage requires at least 15-30 business days to complete the entire process. For customers in urgent need of money, this is a long and anxious process because the application must be reviewed through a variety of inspection (such as credit check, credit check). The slight error with error data from customers or banks, and is likely to cause delays or even cancellation of the process. With RPA, the bank can now be accelerated according to the rules and algorithms set to complete the process, and clear and accurate data flow latency bottleneck.

5. Close the flow of bank accounts

Banks will receive a monthly request to close the account. Sometimes, the proof required to operate the account if the customer is not provided, the account can be closed. Taking into account the bank every month and need to process large amounts of data they need to comply with the list, it will expand the scope of human error. Banks can use the RPA send automatic reminders, asking them to provide the required proof to the customer. RPA robot can handle the account in the off request queue 100% accuracy based on the rule set in a short time.

6. Process Compliance of banks

As the banks' compliance with the rules of so many, this is a daunting task for the staff concerned. RPA make it easier for banks to comply with the rules. According to a 2016 Accenture survey, 73% of respondents believe that RPA compliance officer may be a key factor in the next three years to promote compliance. RPA can run around the clock, reducing the full-time labor man-hours (FTE), improve the quality of the compliance process; to improve employee satisfaction by eliminating monotonous tasks, and allow employees to participate more imaginative, creative tasks, thereby enhancing productivity.

7. Bank KYC process

"Know Your Customer", Know Your Customer (KYC) is very important to every bank compliance processes. KYC needs 150-1000 Duoge FTE at least to the customer to be checked. According to Thomson Reuters (Thomson Reuters) survey, some banks spend at least $ 384 million a year for KYC compliance. Considering the costs involved in the process and resources, banks have now started using RPA to collect customer data, its screening and verification. This helps the bank to complete the entire process in a short period of time, while minimizing errors and manpower.

8. Bank Fraud Detection

Banks need to face the rising number of cases of fraud. With the advent of new technologies, examples of fraud will grow exponentially, the bank is difficult to manually check each transaction and detect fraud patterns. RPA using the "if-then" method to identify potential fraud and mark it to the relevant departments. For example, if you make multiple transactions in a short time, RPA will recognize the account and mark it as a potential threat. This helps to scrutinize bank accounts and investigate fraud.

9. Verify bank and general ledger

Banks must ensure that their general ledger update all the important information, such as financial statements, assets, liabilities, income and expenses. This information is used for the preparation of the financial statements of the bank, and then accessed by the public, the media and other stakeholders. Considering the amount of detail needed to create the financial statements from different systems, the general ledger to ensure that there are no errors is very important. RPA application helps collect information from different systems, verify and update information in the system without any errors. Recommended reading: RPA technology can be applied in what industry

10. Bank report automation

As part of the daily work of the bank, the bank must prepare a report on its various affairs, and submit it to report to the Board. Taking into account the importance of reporting to the bank's reputation, make sure there are no errors reported error and time is very important. RPA can collect the required information from a different source systems, verify the accuracy of the information, to set the format of the page layout information, help banks generate data reports.

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