Gartner projects that the global hyperautomation-enabling software market will approach a value of almost $600 billion by 2022. In a post-COVID landscape, the world will be focused on automation and digital-first processes, according to Fabrizio Biscotti, Gartner’s research vice president.
The growth in hyperautomation is enormous, escalating at a rapid rate. Encompassing tools like artificial intelligence, machine learning, robotic process automation, and others, hyperautomation is a relatively new term that’s one of Gartner’s 10 Strategic Technology Trends for the third consecutive year.
What Is Hyperautomation?
Hyperautomation essentially boils down to automation at scale. Organizations that employ the approach automate practically any process that lends itself to automation. Still in its infancy as an approach to transforming organizations, its adoption has skyrocketed, in part due to the pandemic, which led businesses across the world to turn to a digital-first strategy.
With more and more teams being remote and distributed, hyperautomation has emerged as one solution to challenges such as streamlining work efficiently and performing concurrent processes from around the country — and in some cases the world.
How Does It Differ from Automation?
“This sounds a lot like automation,” you might be thinking. And in some way, it is. Since automation is, in its simplest terms, a means of replacing time-consuming manual processes with faster, technological alternatives, hyperautomation is really just a large-scale form of this core function. As a result, businesses can perform involved tasks in even less time more frequently.
How Does Hyperautomation Work?
Tools and Technologies Involved
Robot process automation (RPA) sits at the core of hyperautomation. This technology follows assigned rules and completes tasks that are generally repetitive and rote.
RPA can’t learn or perform extremely complex tasks, which is where AI and ML enter the picture. Augmented by the capabilities of these more advanced tools, which are able to understand patterns, the technologies in conjunction can perform tasks that were previously performed by humans — and far more quickly, too. Combing through unstructured data sets, the tools can automate these responsibilities.
RPA, AI, and ML aren’t the only technologies involved in the hyperautomation process. It also leverages business process management, big data, and advanced analytics to simulate human intelligence and perform responsibilities without being explicitly “told” to do so.
Steps Towards Hyperautomation
Perform an audit of your business processes.
Start the process by taking stock of your current processes and procedures. This will help you see how your business is currently functioning and what can be improved and escalated by hyperautomation.
Explore how hyperautomation fits into the bigger picture.
Once you’ve performed an audit of your current procedures, you should have a clearer idea of how hyperautomation will contribute to your processes and make your organization more efficient and productive. Determine how these tools will make your workflows more powerful and create a better product or service, as well as bring your overall organization to a new level.
Identify appropriate tools and data sets.
Consider the best automation tools for your business, based on the processes you already have within the organization. We’ve discussed the tools that are generally used — now the time is to pinpoint the specifics. This will require close collaboration with your IT team, whether it’s in-house or external, and should also include the leaders at your organization.
Think, too, about the data sets that will serve as a feeder for improving hyperautomation at your business.
Integrate hyperautomation platforms.
The tools and platforms you use to hyperautomate your processes must be capable of integrating with your existing technologies and procedures. Consider choosing a third-party provider if your in-house team lacks the requisite skills for successful integration and implementation.
Scalability is a critical part of a solid hyperautomation strategy. As you plan for incorporating this process into your fold, think carefully about whether it can successfully scale as your organization grows. Hyperautomation needs to meet the changing needs of your business.
Refine your strategy.
As with any process you adopt at your organization, your hyperautomation strategy will require refinement. Consider how you can keep augmenting and improving this process for greater efficiency and success.
Will It Replace Humans?
There is a certain amount of fear surrounding automation. AI, in particular, has some people thinking that technology will replace humans at some point, making them and their skills obsolete.
However, hyperautomation wasn’t conceptualized as a tool to completely replace humans. Instead, it’s meant to serve as a means of collaboration, streamlining repetitive, redundant tasks and making rote, time-consuming processes more efficient. Combined with human capabilities, hyperautomation offers clear benefits, improving your business and making it far more productive.
Hyperautomation offers plenty of advantages. Through it, businesses can:
- Streamline tasks and processes
- Grow as organizations
- Reduce repetition and manual labor
- Improve accuracy
- Get results faster
- Gain efficiency
- Save money
- Eliminate redundancies
- Gain flexibility
- Improve productivity
- Escalate digital transformation
- Perform operations at scale
- Better support their staff
- Better engage their customers
At the end of the day, hyperautomation allows businesses to do more with less. Using tools that integrate with their current technologies, they are able to take stock of their processes, replace often time-consuming manual ones with automated alternatives, and better serve consumers and stakeholders alike. This, in turn, leads to better ROI, meaning they will enjoy greater value from the products and services they put forth.