The Differences Between IPA And RPA

The Differences Between IPA And RPA

Automation is gaining traction as the digital revolution continues and businesses strive to become more resilient than ever. Robotic Process Automation and Intelligent Process Automation transform how companies manufacture and deliver goods and services while also making employees’ jobs more joyful.

RPA and IPA are separate entities with distinct responsibilities to play in business process management (BPM). Understanding the differences and using what you’ve learned can help your firm achieve its efficiency, profitability, and innovation objectives.

What Is RPA?

Companies can use RPA (Robotic Process Automation) to improve the efficiency of their processes and services. In compliance with several basic principles, RPA software can conduct routine methodical and standardized operations. It could, for example, entail extracting data from one system and re-entering it into another. 

Humans are then left to deal with the more odd and extreme cases. These tools have advanced to the point of maturity in recent years, paving the path for large-scale process automation. Furthermore, these robots can be deployed in as little as a few weeks, lowering deployment costs.

What is IPA?

Intelligent automation, or IPA, is a set of new technologies meant to transform and enhance RPA’s skill set. IPA is RPA’s “next level” improvement, allowing it to handle more complicated processes and allow for some decision-making rather than just automating repeated activities. 

The two of the most commonly used data types in the Big Data era, both structured and unstructured, are supported by IPA. For end-users, this means that IPA solutions extract useful, structured data from previously inaccessible sources using advanced data management and analysis tools.

What Is The Main Distinction Between RPA And IPA?

IPA is essentially a more advanced version of robotic process automation. Intelligent process automation, unlike RPA, can comprehend context, learn, and iterate. IPA can handle both unstructured and organized data, and it can help you make better decisions. 

You can use automation at the task or process level to make informed decisions. IPA enables enterprises to acquire valuable insights by allowing them to access and analyze unstructured data such as photographs or text that would otherwise be inaccessible.

IPA can transform unstructured data into structured data that you can use with RPA technology. For such reasons, the technologies are not commonly exclusive and can be used in tandem to improve business processes. Robotic process automation reduces the amount of time spent on repetitive tasks and allows businesses to extend their operations to give more value to their consumers. IPA expands on RPA by enabling systems to automate and learn from processes.

IPA solutions have a much broader scope, are more robust, and need a longer time and resource investment to implement. However, because of its ability to learn from both its own experiences and from direction and interactions with humans, it has the potential to save money and improve processes in ways that RPA cannot.


To summarise, Robotic Process Automation enables businesses to provide services at a reduced cost while also enhancing the quality and decreasing low-value-added tasks. Intelligent Process Automation goes a step further, assisting companies in expanding their service offerings and providing extra value to their consumers.

Technology has always promised a better way of life—or at the very least, a better way of doing business. So, take advantage of RPA and IPA solutions to offer your company its private army of robot workers and put their virtual intelligence to work for you.