Robotic process automation or software robotics makes use of automation technologies for the purpose of imitating the different tasks that humans normally carry out, for instance, extraction of data, moving files from one location to another, filling up of forms and so on. Robotic process automation or RPA helps to accomplish various tasks which in a way saves enough time of human resources and enables them to perform more complex tasks. Digital transformation gets accelerated and higher return on investment is achieved with the help of RPA.
The Role of RPA
Now workflows can be streamlined which increases the flexibility and profitability of business and also makes them more responsive. All of it and more happens due to robotic process automation. Employee satisfaction gets increased and this in turn increases employee engagement which makes them more productive. This happens as the mundane tasks get removed from their working schedule.
What the World is Saying
A big percentage consider that robotic process automation plays a crucial role in bringing about digital transformation. RPA is responsible for driving growth as well as fast and important improvements to businesses all over the world. The robots that are used in the technology of RPA are capable of dealing with heavy work pressure and situations where the demand graph is high. Yet another major percentage are of the saying that RPA helps in the reduction of errors that are generated manually. It also helps in the reduction of costs associated with labour. Together with efficiency, the speed associated with various tasks also increases. One of the main motives behind the designing of robotic process automation is to reduce the burden of performing simple but repetitive tasks for instance data entry tasks.
There are however certain limitations of using RPA. It can prove to be expensive. RPA may not be appropriate for complex tasks that demand a certain degree of creativity as well as human judgement. The culture of learning and training needs to be fostered in order to upgrade their knowledge about the usage of robotic process automation.
The Difference between AI and RPA
The basic difference between artificial intelligence and robotic process automation is that AI is data-driven whereas RPA is process-driven. While a RPA bot can only perform on the basis of the processes that are defined by the end user, an AI bot makes use of the technology of machine learning to figure out different data patterns and becomes efficient with time and learning. The purpose of artificial intelligence is to imitate the intelligence factor of humans whereas that of RPA is to solely replicate tasks that are directed by humans. In both the cases, that is AI and RPA, the need of humans to intervene is reduced. However the way they perform the various tasks is critically different.
Both can complement each other. AI can enable RPA to perform more complex tasks. RPA on the other hand can help AI to perform manual tasks swiftly and easily.
There are several other benefits of using RPA. The configuration does not demand a developer. This makes it simpler for non-technical staff. Top priority tasks can be allocated as the work pressure of the teams gets reduced. Thus the productivity and the ROI increases.The morale of the employee is improved as the high volume workload is lifted up and the focus automatically is moved towards a more thoughtful decision-making process.
Today many financial institutions are making use of the services of RPA. The technology of RPA has become an integral part of the retail industry. It has enhanced the way in which back office operations are performed. The experience of the customers also undergoes improvement. Different applications include management of customer relationships, processing of customer feedback, detection of fraud and many more. Some of the best known healthcare institutions are using the technology of robotic process automation for a number of purposes. This includes management of information and prescription, processing of the claims of insurance and management of the cycles of payment and others.