Making Sense of the Automation Alphabet: The Difference Between RPA, IA, and Hyperautomation
The world of automation is full of acronyms like RPA and IA, and new words like hyperautomation, making it difficult to know which kind of automation is best for your business.
Looking into automation processes, RPA and IA grant unique benefits while respectively incorporating benefits of the previously-stated automation software. A study conducted by the Romanian Journal of Information Technology and Automatic Control states that by combining the functions of RPA and AI functionalities, a robot could take over the role of a BPM manager. This combination of automation functionalities to produce more complex outcomes is often referred to as hyperautomation.
You can think of hyperautomation as a canvas that is woven from multiple automation tools, including RPA and IA, and is constantly learning how to be more efficient and perform more complicated decision-making tasks.
RPA, IA, and hyperautomation are among just a few of the terms for automation. Each of these tools is different, but they also share a lot of similarities. To understand automation and how it can transform your business, it’s important to understand the automation alphabet. Once you know the letters, you’ll soon be forming words, making sentences, and weaving stories of automation that will continuously improve your business.
Here’s a brief rundown to make sure you can dot the i’s and cross the t’s of your automation.
RPA: Base Level
RPA (Robotic Process Automation) is ultimately software tools designed to take over repetitive and rule-based tasks so that employees can better utilize their time and energy. RPA replicates human behavior within the various software it is designed to interact with such as data entry, data transfer, and inquiry response.
The main takeaway is that, although RPA can run its tasks on its own, these tasks must already exist and be clearly laid out so the software can automate the previously manual procedures of human workers. The RPA software can run assisted or unassisted in whichever way is most beneficial to the employees.
While RPA can save time and energy by performing repetitive tasks, it cannot do anything more with the information it handles. Essentially the software just does what you program it to. So, what can you implement to take advantage of the information present in the transfer of large amounts of data?
IA: RPA, Plus a Little More
IA (Intelligent Automation) is the next best thing since RPA because it combines RPA with artificial intelligence to capitalize on the large amounts of data that your RPA will go through. While RPA is designed to replicate human actions based on rules and guidelines, AI is designed to replicate human decisions which are based on reasoning, judgment, and analysis. In other words, IA adds machine learning, natural language processing, intelligent document processing, and structured data interaction to the rule-based automation of RPA.
By incorporating AI into your automation, resulting in IA, not only will your automation tools carry out low-thought, repetitive tasks, but they will also be able to look for more areas to improve in. By analyzing the data, IA can tell you where more automation can be used as well as how to improve all business functions, whether automated or manual.
ESNEFT, a hospital and community health provider in the UK, implemented IA to automate the process of patient cancelations, allowing new patients to fill the recently-vacant spots, and after only 8 weeks, 1365 appointments were salvaged, resulting in the avoidance of a £216,960 (302,200.33 USD) loss.
IA is currently being utilized in many fields including medicine, education, finance, and banking, as well as smaller customer-service-based businesses.
Hyperautomation – The Automation Ecosystem
As mentioned earlier, hyperautomation is like a canvas made up of other automation and processing technologies. IA improves upon RPA by adding machine learning and artificial intelligence. Hyperautomation continues to build upon those foundations with predictive insights, guided recommendations, process mining, and adaptive decision making.
What this means is that your automation software will not only be able to replicate human behavior, but it will also be able to continuously improve the automation itself. As we wrote in our previous blog, “Using Automation to Choose Your Automation,” organizations that use hyperautomation will be able to implement new automation with little to no human interaction, which is what automation is all about.
Hyperautomation also allows for smoother customer interactions because automation processes will be able to pull from all recorded data and meet the client at all interfaces with the best knowledge and performance abilities.
The key takeaway is that hyperautomation is a continuous process, moving from simple to complex. As you continue to implement and improve your automation, the technology becomes more sophisticated and more capable of performing insightful, data-based tasks.
Hyperautomation is undoubtedly shaping the future of work, but it is important to think about how comfortable you are with your understanding of automation as well as just how many manual tasks are able to be automated before going all out with hyperautomation. It may be more beneficial and more realistic to start out with RPA and begin acclimating your organization to the benefits and workings of automation. You have to understand the grammar before you tackle whole paragraphs.
Novatio has been speaking this language for more than 20 years and we are here to guide you through your automation journey from RPA, to IA, to Hyperautomation. To capitalize on and integrate automation into your business, or to learn more about what option is best for you and how to get started, contact Novatio. We can help you get started with automation or make sure you make the most of your current automation..