Combining Robotic Process Automation (RPA) with Artificial Intelligence (AI)


Combining Robotic Process Automation (RPA) with Artificial Intelligence (AI)

What will the future bring for RPA and AI

Robotic Process Automation (RPA) has become a hot topic within tech. Although RPA can be a great solution for organizations, increasing their efficiency and productivity. Combining RPA with cognitive technologies like Artificial Intelligence (AI) could offer even more opportunities.

Robotic Process Automation

RPA refers to robotics taking on the repetitive tasks usually performed by people and automizing these processes using software robots, for example filling in digital forms. RPA has become increasingly popular as it has proven to have a relatively high return on investment and companies are beginning to understand that increasing business efficiency and employee productivity is of great importance to thriving in a competitive environment.

One of the main fears of RPA is that it will replace humans and they will lose their job. However, in practice it often means that someone’s work becomes more interesting as RPA takes over the relatively boring and repetitive tasks in their job, leaving them with additional time for other work. For example, in a process that has multiple steps some of these steps will be repetitive or have a high risk of making mistakes. RPA will take over these steps and leave the employee with more time to complete the more interesting and engaging steps.

What are the benefits of AI?

Besides increasing efficiency and interest in work, RPA offers another benefit. If the software robots are doing their work it becomes even easier to reap the benefits of AI. Although RPA exceeded market expectations, AI continues to drive greater value. As a result, we are seeing technologies that include both RPA and AI as a common strategic investment.

Collaboration between AI and RPA

The collaborations between AI and RPA extends and improves the reach of Robotic Process Automation by accelerating the use of unstructured information in complex manual processes. RPA immediately starts collecting process insights, in data form. This data can be used by AI to map business processes and automize processes at a detailed level. AI can also take on part of the interpretation, like recognizing documents or checking details. This can have many benefits as it offers organizations the chance to make their operation cheaper and more efficient.

RPA alone does not have the cognitive capability to accurately analyze, categorize and extract key data points. The cognitive capabilities of AI ensure that this is possible. Rather than choose one tech over another or use them separately. They are increasingly being used to enhance each other.

Are you ready for RPA or AI in your organization? Our CARE professionals can gladly show you what kind of tailor-made solutions are available for you.

Do you want to know more about what CARE can do for you in the area of Data Analytics, Business Intelligence, Data Visualization, Intelligent Process Automation, and Robot-as-a-Service here.

Did you find this useful?