Robotic process automation and intelligent automation help companies tackle the challenges of time-consuming, repetitive tasks that are crucial to business operations. With the rise of technology and automation in various industries, it is essential to understand how these two approaches differ from each other. So, how does robotic process automation (RPA) differ from intelligent automation (IA)? This article will delve deeper into the definitions and which one you should choose for your business needs.

How Does Robotic Process Automation (RPA) Differ From Intelligent Automation (IA)?

To understand the difference between the two, we must first define what robotic process automation (RPA) and intelligent automation (IA) are.

Robotic process automation (RPA) is the use of software robots or AI to automate repetitive, rules-based tasks. These robots mimic human actions by interacting with various systems, applications, and data sources to complete a task. RPA technology aims to streamline processes by automating mundane and repetitive tasks, freeing up employees’ time to focus on more critical, value-added work.

On the other hand, intelligent automation (IA) is a broader term that combines RPA with artificial intelligence (AI), machine learning (ML), and cognitive technologies. It involves automating end-to-end business processes by using advanced algorithms to analyse data, make decisions, and perform tasks.

The primary difference between RPA and IA lies in their level of intelligence. While RPA focuses on automating specific tasks, IA takes automation to the next level by adding cognitive capabilities that enable it to handle more complex processes. In other words, RPA is a subset of intelligent automation.

Which One Should You Choose?

The answer to this question depends on your business needs. If you are looking to automate simple, repetitive tasks that do not require much decision-making, RPA is an excellent choice. It is relatively easy to implement and can provide a quick return on investment (ROI).

On the other hand, if your business processes involve handling large volumes of data and making complex decisions, IA would be a better fit. It can provide more significant benefits in terms of efficiency, accuracy, and scalability. However, it may require more time and resources to implement.

Another factor to consider is the level of human involvement required. RPA is designed to work alongside humans, while IA has the potential to replace human workers completely in certain processes.

At the end of the day, both of these automation software have their strengths and can add value to businesses in different ways. Some organisations may choose to use both RPA and IA, depending on the specific processes they need to automate.

If you are looking for more information, contact us at B2IT. 

We offer RPA, active intelligence, and so much more to make your business more effective, efficient, and profitable. Whether you are just getting started with automation or looking to upgrade your current processes, our team of experts can help you find the right solution for your needs.