Businesses today know that operational efficiency, effectiveness, and productivity are keys to competitive advantage. And process automation tools are being adopted more and more because they help IT and business leaders turn those goals into reality.
If you’ve spent time researching ways to boost efficiency by taking advantage of automation opportunities, you’ve likely come across the related terms hyperautomation (which is synonymous with process automation) and intelligent automation. You may wonder what the true difference between hyperautomation vs intelligent automation is. They’re both critical concepts to grasp for anyone interested in participating in the automation space.
Here we’ll discuss hyperautomation vs intelligent automation to help you determine which approach will best suit your organization’s needs and your automation journey.
[ Want to dive deeper into hyperautomation approaches? Get the Gartner® Beyond RPA: Build Your Hyperautomation Technology Portfolio report. ]
When it comes to automation, you can think of the concept as comprising three levels. Each level builds on the complexity—and power—of the previous one.
As you can see, intelligent automation vs hyperautomation isn’t necessarily an either/or proposition—it’s actually a progressive ladder of increasingly advanced technologies.
[ Read our related article: RPA vs. AI vs. low-code. ]
Both simple automation and intelligent automation operate at the task level. They can work wonders for repetitive tasks like data entry (for simple automation) and for more complex yet still isolated, mundane tasks, such as using natural language processing (NLP) in chatbots to improve customer experience.
But for complex processes or end-to-end business processes, hyperautomation initiatives are the way to go. The orchestration capabilities of hyperautomation allow for complex interactions between automation tools and human workers—and they enable this at the end-to-end level for core business processes. This orchestration layer lets you reap the full benefits of hyperautomation.
Consider an example of order processing. The steps for orchestrating this full process might include:
This is an abbreviated example—there are other elements of this process that can be automated, such as checking inventory levels, ordering more inventory as needed, sending billing requests, verifying payments, and more. The point is that intelligent automation can automate a small portion here, but to fully automate a process (and grow that automation), you need the essential orchestration components only found in hyperautomation technologies.
When thinking about hyperautomation vs intelligent automation, the truth is that both are important. However, if you want to reap the full benefits of automation, you’ll want to take a platform approach to process automation that provides multiple automation tools plus the process management tool power of that critical orchestration layer.
What’s important for building out this end-to-end automation capability? Get the Process Automation Guide: How to Achieve End-to-End Process Excellence.