Intelligent Process Automation (IPA) and Traditional Automation are two types of automation solutions that businesses can adopt to streamline their processes and reduce manual work. While they share similarities in the goal of automating tasks, there are distinct differences between the two. In this blog post, we’ll explore the key differences between IPA and Traditional Automation to help you understand which solution is right for your business.

Traditional Automation

Traditional Automation is the use of technology to automate repetitive, rule-based tasks. It involves programming bots or scripts to execute predefined actions based on specific inputs. These actions can range from simple tasks such as data entry to more complex ones like data analysis. The key benefits of Traditional Automation are improved efficiency and reduced costs, as it eliminates the need for human intervention in repetitive tasks.

However, Traditional Automation has limitations in its ability to handle unstructured data, which is becoming increasingly common in today’s business landscape. It also lacks the ability to learn and adapt to changing situations, which can result in errors and require human intervention to correct.

Intelligent Process Automation

Intelligent Process Automation, on the other hand, combines the power of automation with artificial intelligence and machine learning to handle both structured and unstructured data. IPA solutions can understand unstructured data such as natural language and images, making it more flexible than traditional automation.

IPA systems also have the ability to learn and improve over time. By analyzing large amounts of data, an IPA system can recognize patterns and optimize processes to improve efficiency and accuracy. This means that the system can adapt to changing situations and improve over time without human intervention.

One of the key benefits of IPA is that it can reduce errors and improve accuracy. With the ability to handle unstructured data and learn from it, IPA systems can provide more accurate results than Traditional Automation.

Another key advantage of IPA is that it can improve decision-making capabilities. By providing real-time insights and analysis, IPA systems can provide decision-makers with the information they need to make informed decisions.

CEErtia’s Hyper Automation

CEErtia is a powerful IPA software that is designed to streamline business processes and reduce manual work. It uses advanced computer vision technology to recognize documents, checkboxes, tables, logos, and even handwritten text and signatures. With CEErtia, you can create labels and annotate documents with these labels to extract important information.

One of the key advantages of CEErtia’s Hyper Automation is its ability to learn and adapt. With its machine and deep learning capabilities, CEErtia can analyze large amounts of data and improve over time. This means that it can handle complex and changing situations without the need for human intervention.

In addition, CEErtia’s Hyper Automation includes features such as mathematical formula calculations and AI job relationships. These features allow users to calculate values based on information extracted from documents and use the result value of one AI job as part of another. This improves efficiency and accuracy in decision-making.


In conclusion, Intelligent Process Automation and Traditional Automation are two different automation solutions with distinct differences. While Traditional Automation is ideal for repetitive, rule-based tasks, it lacks the flexibility and ability to handle unstructured data that Intelligent Process Automation offers. Intelligent Process Automation, specifically CEErtia’s Hyper Automation, provides businesses with the ability to learn, adapt, and handle unstructured data. This results in improved accuracy, efficiency, and decision-making capabilities.