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Data information error rates are minimized and accuracy is 100 per cent, reducing unnecessary risks
Banking Solutions
Industry Background
Typical Scenarios for Digital Workforce in Banking
Solve the difficulties of management and operation work
The high accuracy of RPA operations reduces errors and mistakes in manual operations and minimizes risks to banks and customers. In terms of quarterly workload management, the cost and demand for temporary resources can be reduced, and resource management can be more efficient, effectively solving the operational challenges caused by personnel changes.
Cost Savings
Instead of manual labor, RPA robots, which work 24/7 x 365, reduce costs and increase efficiency by automating manual and data-intensive processes. By deploying RPA, the bank not only saves costs, but also greatly improves efficiency in many key processes, reducing the time for a single transaction from 5 minutes to 20 seconds, a speed increase of more than 10 times.
Enhanced Compliance
RPA facilitates enhanced operational and management compliance as well as improved risk prevention and control. With seamless access to customer data for improved KYC and AML analytics, automated ongoing transaction monitoring, and tracking of regulatory changes, RPA delivers 40% cost savings and 70% work hour savings in the end-to-end delivery process.
Optimization of outward remittance business
The robot completes the intelligent parsing of documents, executes pre-set checking rules, completes the dawdling review and registration of information, and then the business teacher conducts a review to confirm that there is no error, and then initiates the audit process.
Intelligent Automation for Anti-Money Laundering
With RPA software robots, banks can regularly collect, merge, screen and enter cross-system data to automate the entire process of anti-money laundering data submission. While completing the end-to-end automated process of "screening-collection-entry", it can greatly improve staff efficiency and reduce the rate of manual errors.
Improving customer service
RPA robots are "multi-faceted" and can grasp the specific needs of customers based on the latest technology and the accumulation of customer profile data, position various customers differently, and recommend products and services more suitable for customers, thus bringing "one thousand people, one thousand faces" intelligent marketing.
How has the digital workforce changed the Banking?
Ztenith helped Bank of Beijing save more than 4,000 hours of customer service delivery time, and centralized RPA deployment quickly automated front- and back-office processes
Bank of Beijing has entered a new track of digital transformation, actively exploring new means to reduce costs and increase efficiency.
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300%
Significantly improved operational efficiency, reducing the time spent on each transaction from 20 minutes previously to 5 minutes
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80%
RPA robots work around the clock, operate freely across systems, and increase business processing speed by about 80%.
Related Cases
They are all using Ztenith 's solutions.
【finance 】Bank of Beijing
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.
【finance 】Bank of Ningbo
Since the RPA selection in 2018, as of the beginning of 2022, Bank of Ningbo has accumulated more than 70 robots running, totaling more than 60 scenarios; with the expansion of the scale of RPA application in the bank and the deepening of the scenarios, Bank of Ningbo's RPA operation model needs to be upgraded urgently to match the needs of RPA scale application: Ztenith won the competition by virtue of its mature products, good experience, multi-engine integration cases in the same industry, high matching technical architecture, perfect system and rich experience in implementation, etc. In the end, Bank of Ningbo chose Ztenith as the bank's platform construction service provider...
【finance 】GAC Co., Ltd.
The transformation and innovation of financial services in the banking industry in the digital era is unstoppable, and Ztenith provides and realizes the overall rapid construction and sustainable solution of RPA from 0 to 1 for GAC Co., Ltd; There are a large number of repetitive, standardized, time-consuming and error-prone business processes, such as bank-enterprise reconciliation and institutional loan audit verification. Ztenith provides service support from the preliminary system architecture construction, requirements sorting, development and on-line maintenance. It involves many departments and holds "Creator Marathon", a company-level internal RPA activity for all staff...
