Business and Tech Advantages in Upgrading from RPA to IPA
Perhaps you’ve implemented RPA in your company. You may or may not have seen improvements and hit the goals or metrics you were hoping to achieve. Whether you’ve seen success or not, there’s still room for improvement by adding AI.
In this piece, we’ll walk you through the differences between RPA (robotic process automation) technology and IPA (intelligent process automation), and spell out the advantages of each.
For example: even after implementing automation, many employees still spend hours of time manually handling processes that are too complex for RPA. These include data extraction, data normalization, and turning unstructured content (e.g. text and images) into a structured, usable format.
We also take a deeper dive into IPA, which combines RPA with machine learning and fundamental process redesign. Unlike RPA, which mimics click work carried out by humans, IPA was designed to mimic human intelligence and to learn and improve over time. Intelligent automation can be used in more advanced, multi-step business processes that require experiences-based AI decision making, instead of the typical rule-based decision making of RPA.
The guide also discusses Robin, Automation Hero’s personal automation assistant, which can be customized in a number of ways to integrate with a human’s daily workflow.