Thanks to a combination of business process digitization, constant connectivity, and smart machines, we’ve entered a new age. A technology-driven age. The age of hyperautomation.
While hyperautomation delivers a deeper, more intelligent toolset than previous technologies ever have, this innovation wraps machine learning capabilities, software, and other miscellaneous automation tools into one package to make each enterprise deployment step simpler and more effective than ever before.
This means that, despite its Robotic Process Automation (RPA) roots, hyperautomation has evolved beyond its industry introduction to combine a wide variety of technologies that replicate all human labor-driven pieces of an automated process.
As you might have guessed, hyperautomation is transforming business operations expansion initiatives – but the shift toward these advanced solutions is still rather complicated. Cognitive systems and technologies are several years away from the possibility of satisfying the volume and velocity of enterprise demands they’re being implemented for today.
What it does do now, however, is help you create an entirely new understanding of automation’s business potential. Hyperautomation more clearly defines the range of possible mechanisms that can be implemented, how each automation capability relates to one another, and how this technology can effectively be integrated and managed.
There’s just one catch…
Know When, Where, & Why It Works
If your goal is to deliver automation that reduces errors and eliminates mundane, time-intensive work, your first step is to take a step back. While this may seem counterintuitive, you need to know precisely how, where, and when hyperautomation can help before it can be successfully implemented.
After all, if you don’t know where intelligent tech is most sorely needed, how can anyone reasonably expect to see dramatic improvements and measurable success?
Like pretty much any other innovation, your best plan of attack should start with a thorough internal assessment to identify the areas and people that need automation the most – as well as to understand where these technologies won’t deliver ROI.
It’s also important to remember that despite hyperautomation’s exciting potential, it’s never going to be 100% capable of creating business processes. Automated machines excel at boosting efficiency through Cognitive Process Automation (CPA), but they need human intelligence to truly deliver the results your organization needs.
That said, these next-gen systems make it possible to deploy a fluid, dynamic set of instructions that can manage machine learning-driven processes and adjust rules that govern processes in real-time. This means accelerated issue resolution and technology that’s more capable of satisfying your unique internal and external business demands.
Before you’re ready to maximize your hyperautomation investment, your people need the expertise to make these initiatives work. Join us at AOTMP® 2020 to deliver actionable workforce strategies that increase automation adoption and make your people view technology as a positive that makes their lives easier.
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