Octopus IPA digital employee background

1、 Industry development

In today's digital age, with the popularization of business tools and application systems, enterprises are facing a severe problem, that is, how to manage multiple digital systems. In this environment, robot process automation (RPA) is increasingly becoming the preferred tool to solve the pain points of the enterprise.

Intelligence Indeed Technology Co.Ltd. Combine RPA with AI technology and propose & ldquo; Digital employees & rdquo; IPA solutions strive to contribute one million digital employees to the whole society, help enterprises reduce costs, increase efficiency and improve quality, and help enterprises and institutions realize the transformation and upgrading of digital intelligence.

2、 Application value of IPA

1. Significantly reduce labor costs and improve enterprise efficiency
In the daily operation of the enterprise, there are some highly repetitive and cumbersome business operations originally carried out manually, which can be replaced by RPA technology, so as to reduce the labor cost and improve the efficiency of the enterprise. According to the per capita working hours of 8 hours per day and 5 days per week, the person's working hours per week are 40 hours. RPA digital employees can work 24 hours a day, 7 days a week, and their working hours are 4.2 times longer than people.
The work efficiency of digital employees is also much higher than that of people. In actual work, people need to operate through visual search, moving the mouse and clicking, and its operation time is lower than the speed of machine automation. Thus, the comprehensive efficiency of digital employees can reach 5 ~ 10 times that of people.
From the perspective of cost, the authorization and comprehensive deployment cost of a single digital employee is about 30000-50000 yuan per year, which is far lower than the salary of a regular employee.

2. Reduce the risk of manual operation
For highly repetitive and trivial work, employees' attention will decrease and fatigue will occur after working for 1-2 hours. In addition, due to the external impact of the working environment, it is often easy to cause wrong operation, which may have a great impact due to errors.
Digital employees do not have this problem. Digital employees who use AI + RPA technology to perform this part of work will not be tired, make mistakes, and will not be affected by the external working environment. Human employees also need to take up their posts after training. The work adaptation cycle is long, and the results handled by different people may be affected by subjective factors.

3. Get through various digital systems and improve flexibility
Enterprises use different information systems for internal and external business management, such as OA, CRM, ERP, EMS, etc. these systems may be self-developed and may use products from different manufacturers. The docking of various systems needs to pay a huge development cost, and it is necessary to coordinate various departments and even manufacturers to get through the system, develop their own interfaces or SDKs to realize automatic processing, which has high cost and long cycle.
RPA digital employees have great advantages in connecting with their own information systems. There is no need to transform the customer's information systems. Machine employees realize cross system connectivity by simulating people's actual operation behavior, such as copy and paste, information filling, information capture, etc.

4. AI enables digital employees to make decisions
For some scenarios, such as online customer service receiving customers, employees need to judge the purpose and intention according to the customer's dialogue and give correct replies. Their work content is no longer repetitive operations, and simple RPA can not meet this scenario.
RPA combined with AI technology, such as machine learning and natural language processing, can endow digital employees with decision-making ability. For example, through RPA + Intelligent outbound call capability, a process from dialogue collection to feedback can be built, which is suitable for industries with large consulting volume such as government, medical treatment and catering; Through RPA + AI decision-making platform, intelligent analysis and decision-making of complex scenarios can be completed, which is suitable for financial, financial and other scenarios. Of course, there are more, including the combination of CV and RPA, NLP and RPA. They can build some visual recognition, semantic understanding and system operation, and there are countless applicable scenarios.