Hyperautomation in 2024

May 24, 2024 Roberto Magalhães

Encompassing tools such as artificial intelligence, machine learning and robotic process automation, hyperautomation has the power to radically transform businesses.

The growth of hyperautomation is enormous, increasing rapidly. In fact, Gartner projects that the global hyperautomation software market will reach nearly $1.04 trillion by 2026.

Encompassing tools such as artificial intelligence, machine learning, robotic process automation and others, hyperautomation is a relatively new term that is gaining importance.

What is hyperautomation?

Hyperautomation essentially boils down to automation at scale. Organizations that employ this approach automate virtually any process that can be automated. Still in its infancy as an approach to transforming organizations, its adoption has skyrocketed, in part due to the pandemic, which has led companies around the world to turn to a digital-first strategy.

With more and more remote and distributed teams, hyperautomation has emerged as a solution to challenges such as streamlining work efficiently and executing simultaneous processes across the country — and, in some cases, the world.

How does this differ from automation?

“That sounds a lot like automation,” you might be thinking. And somehow, it is. As automation is, in its simplest terms, a means of replacing time-consuming manual processes with faster technological alternatives, hyperautomation is actually just a large-scale form of this core function. As a result, companies can perform complicated tasks in even less time and more frequently.

How does hyperautomation work?

Tools and technologies involved

Robotic process automation (RPA) is at the heart of hyperautomation. This technology follows assigned rules and completes tasks that are often repetitive and mechanical.

RPA cannot learn or perform extremely complex tasks, and this is where AI and ML come into play. Expanded by the capabilities of these more advanced tools, which are capable of understanding patterns, technologies together can perform tasks that were previously performed by human beings — and also much faster. By combing through unstructured data sets, tools can automate these responsibilities.

RPA, AI and ML are not the only technologies involved in the hyperautomation process. It also leverages business process management, big data, and advanced analytics to simulate human intelligence and execute responsibilities without being explicitly “told” to do so.

Steps towards hyperautomation

1. Conduct 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 expanded through hyperautomation software.

2. Explore how hyperautomation fits into the bigger picture.

After conducting 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 take your overall organization to a new level.

3. Identify appropriate tools and datasets.

Consider the best automation tools for your business, based on the processes you already have in your organization. We’ve discussed the tools that are commonly used – now it’s time to identify the details. This will require close collaboration with your IT team, whether internal or external, and should also include your organization's leaders.

Also think about the data sets that will serve as feed to improve hyperautomation in your business.

4. Integrate hyperautomation platforms.

The tools and platforms you use to hyper-automate your processes must be able to integrate with existing technologies and procedures. Consider choosing a third-party vendor if your in-house team doesn't have the skills needed for successful integration and implementation.

5. Scale accordingly.

Scalability is a critical part of a solid hyperautomation strategy. When planning to incorporate this process into your group, think carefully about whether it can be successfully scaled as your organization grows. Hyperautomation needs to meet the new needs of your business.

6. Refine your strategy.

As with any process adopted in your organization, your hyperautomation strategy will require refinement. Consider how you can continue to increase and improve this process for greater efficiency and success.

Will hyperautomation software replace humans?

There is a certain fear around automation. AI, in particular, makes some people think that technology will replace humans at some point, making them and their abilities obsolete.

However, hyperautomation software was not conceptualized as a tool to completely replace humans. Instead, it is intended to serve as a means of collaboration, simplifying repetitive and redundant tasks and making time-consuming, mechanical processes more efficient. Combined with human capabilities, hyperautomation offers clear benefits, improving your business and making it much more productive.

Why hyperautomation?

Hyperautomation offers many advantages. Through it, companies can:

Simplify tasks and processes
Grow as organizations
Reduce repetition and manual labor
Improve accuracy
Get results faster
Gain efficiency
To save money
Eliminate redundancies
Gain flexibility
Improve productivity
Scale digital transformation
Run operations at scale
Better support your team
Engage your customers better

Ultimately, hyperautomation allows companies to do more with less. Using tools that integrate with their current technologies, they are able to take stock of their processes, replace manual, often time-consuming processes with automated alternatives and better serve both consumers and stakeholders. This, in turn, leads to better ROI, which means they will enjoy greater value from the products and services they offer.

If you liked this, be sure to check out our other articles on AI.