Why Businesses are Moving from RPA to Intelligent Automation

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RPA and Intelligent Automation

If your organization is already using RPA, the probability is that you are discussing upgrading your business process automation from RPA to intelligent automation. 

For those not familiar with these terms, let’s get you quickly up to speed. RPA automation when it was introduced in the early 2000s was a breakthrough technology. In the course of these years, it is no exaggeration to say that companies that have implemented RPA have probably saved millions of hours of manual work and that millions of documents have been processed, data updated or invoices generated. This also means that there have been a lot of dollars saved or added to the company’s bottom line. However, RPA has its limitations and one of them is that it is not scalable and maintenance can eat into the profits of running RPA business processes. Hail then to the new kid on the block – intelligent automation that uses AI and machine learning along with deep learning.

Let’s dive further into the difference between RPA and IA and how to adopt an intelligent automation strategy.

Difference between RPA Automation and Intelligent Automation 

The robot in robotic process automation is not a physical robot but a software bot that can automate mundane routine tasks. RPA is a business process automation technology that will exactly mimic how humans will interact with software. It uses graphical user interfaces (exact position of information on a screen) so if there is a change to the user interface then the RPA process will break down. 

These RPA bots can only follow rule-based processes and they are unable to extract meaning from the images or documents they are processing. RPA is best suited for automating individual tasks. It will be a herculean task to automate an entire process, for instance, onboarding a new customer into a