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This article will explain in detail what the service mode of RPA is, and the content of the article is of high quality, so the editor will share it with you for reference. I hope you will have a certain understanding of the relevant knowledge after reading this article.

Development track of Robot process Automation

In 2017, robotic process Automation (RPA) emerged as a financial automation tool, and is gradually emerging. By 2018, RPA has entered more application scenarios, such as banking, securities, operations and so on. By 2019, RPA has evolved into a basic ecology, extending more and more vertical applications and horizontal layering on each vertical class.

Some manufacturers do RPA technology tools, some manufacturers do automation solutions, and some manufacturers introduce developers as platforms. At present, RPA has entered an ecological stage, from this point of view, it will be an important trend to promote the development of science and technology in the industry. What is the core barrier of RPA?

Pay attention to the RPA of the underlying operating system, the threshold is not very high, more technical operations. When facing specific scenarios, such as financial scenarios, RPA will become a certain threshold, at least have a sufficient understanding of the financial business scenarios.

If we can face the financial scenario and encapsulate some targeted RPA operation components, such as some reconciliation logic and document identification rules, we can effectively summarize the previous judgments made by people into the operation of the RPA robot.

In addition, the RPA system itself also has certain thresholds, such as the continuous stability and security of the operating system, which requires targeted design and repeated confirmation on key nodes and key checks, as well as long-term trial operation and monitoring and timely handling of abnormal behavior.

Two Service modes of Intelligent RPA

At present, intelligent RPA usually has two service modes.

One is to directly face customers and give customized solutions; the other is to make general-purpose tools and then serve industry customers together through intermediaries-industry service providers.

Different scenarios are suitable for different scenarios, and there are successful cases in both types of approaches. Take the financial sector as an example, when facing non-core scenarios and operations, such as operational activities or scenarios that do not involve large financial transactions, the second option will be a good choice.

For example, some large state-owned banks and joint-stock banks, with a strong scientific and technological foundation, choose general-purpose RPA software manufacturers to help them pack some corresponding automation scenarios, which will be more efficient in cost, direct service and communication.

For some large financial transaction scenarios, the basic RPA software vendors who specialize in the technology industry may not have a deep understanding of the real financial business scenarios, so they also need industry service providers who specialize in financial services to carry out some encapsulation and integration to achieve risk sharing, which also makes some risk points more controllable.

As the first phase of the digital journey, RPA robot process automation will be the most important step for enterprises to deploy artificial intelligence on a large scale in the future. Opportunities for simplification and digitization are common in many areas of operation in finance, retail, manufacturing and other industries. The sooner the industry seizes the opportunity, the more it will be able to compete with other peers with structurally low costs.

So much for sharing about the service mode of RPA. I hope the above content can help you to some extent and learn more knowledge. If you think the article is good, you can share it for more people to see.

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