Robotic Process Automation (RPA)

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Robotic Process Automation – Between Myth and Reality

By Mihaela Livia Andrei posted Wed May 03, 2023 12:49 PM


Robotic Process Automation (RPA) 
has been the buzzword for the last few years, with the use of RPA growing rapidly in many industries as organizations seek to increase their efficiency, reduce costs, and improve the quality of their services.

It’s already known that RPA helps businesses to reduce operating costs and improve productivity by automating manual processes that consume a lot of time and resources. At the same time, it helps businesses maintain compliance with regulations, reduce errors, and increase speed to market.

There are several myths and misunderstandings about RPA, one of them referring at the fact that RPA is only for IT experts.

Traditionally, the implementation of automation initiatives, such as RPA, has been the responsibility of technical professionals like IT departments or software developers.  However, with the growing popularity of low-code or no-code automation platforms, non-technical users who possess knowledge of business processes can now participate in implementing RPA projects.

While RPA implementation may require some technical knowledge, RPA tools are becoming more user-friendly and accessible to non-technical users. RPA vendors offer training and support for their products, helping organizations to get up to speed quickly and use RPA effectively.

RPA democratization refers to the process of enabling more individuals to adopt and use RPA technology across an organization, making RPA tools and resources more accessible to everyone and not just IT or technical departments. The goal of democratization is to empower non-technical personnel such as business analysts, managers, and other end-users to design, deploy, and maintain their own automated processes without relying on IT support.

One of the ways to democratize RPA is to use graphical user interfaces (GUI) with drag-and-drop functionality to create and build processes without coding. These GUIs provide a visual representation of the workflow or process, and users can define each step of the process by dragging and dropping pre-built components onto a canvas, forming a workflow. This method of building RPA workflows is called "process mapping," and it allows non-technical personnel to design, build, and manage automated processes.

The newest development in this area is importing RPA bots into digital labor platforms, where the bots can be assigned to digital workers that have conversational AI. End users simply chat with the digital worker, and the bot can be deployed or sequenced in a series of steps. End users would not necessarily realize that the task was completed by a bot, as their interactions are consistent with the digital worker.

Low-code and no-code RPA platforms also offer training and community support, enabling non-technical staff to develop the necessary skills to design and deploy RPA solutions. As a result, RPA initiatives can be carried out more efficiently, reducing the burden on technical teams, and enabling departments to function more independently, accelerating digital transformation across the enterprise.

Many RPA myths are based on misunderstanding or fear of change, but organizations should seek to understand the technology and its benefits, rather than be scared by myths and misinformation.

Ultimately, democratizing RPA helps not only to streamline business processes, improve efficiency, and reduce operational costs while staying competitive in a rapidly evolving digital landscape, it also fosters innovation and encourages collaboration, as more people are encouraged to participate and contribute their ideas to process automation. 

Do you have any additional myths about RPA that you may have come across? Feel free to share them in the comments section below.