Hyperautomation is Not Slowing Down

By Gartner’s definition, hyperautomation is a business-driven, disciplined approach that organizations use to rapidly identify, vet, and automate as many business and IT processes as possible. Hyperautomation involves the orchestrated use of multiple technologies, tools or platforms, including:

• Artificial intelligence (AI)
• Machine learning
• Event-driven software architecture
• Robotic process automation (RPA)
• Business process management (BPM) and intelligent business process management suites (iBPMS)
• Integration platform as a service (iPaaS)
• Low-code/no-code tools
• Packaged software
• Other types of decision, process, and task automation tools

In simple terms, hyperautomation is automation on a large scale with more massive rollouts. Both aim to automate manual processes with technological capabilities. The difference is in the size of the rollout. With hyperautomation, these time-consuming tasks can get completed even faster, saving businesses a vast amount of time and resources.

The world’s largest enterprises continue to invest in hyperautomation projects, and we may soon see a similar boom in mid-size organizations as well.

The pandemic and shift to remote work have been significant drivers in this uptick. After all, companies needed a way to streamline processes and continue efficiency while concurrent tasks were being done worldwide.

It is hard to blame companies for adopting hyperautomation, as automating repetitive business and IT processes have shown tremendous value in the world of productivity, especially when organizations needed it the most.  

Like every process, it is crucial to be strategic in your company approach with hyperautomation. Proper refinement of hyperautomation can create new knowledge in the form of patterns and trends that can enhance decision-making in all areas of a business. Being strategic in your approach includes assessing your current business processes, exploring how hyperautomation can fix those processes, identifying potential fits for a solution, integration, scaling, and continuously refining.

A considerable worry with the growth of hyperautomation is the replacement of people. However, the goal has always been to combine the two for optimal quality and efficiency while freeing up time for employees to focus on less repetitive and prominent work.

Now that the world has gotten a taste of what hyperautomation and people can do together, we do not anticipate it slowing down. Gartner seems to agree, as they forecasted the hyperautomation-enabling software market to reach close to $600 billion in value by 2022. This valuation is higher than 2021, which was higher than 2020. We don’t see a reason why 2023 will change that trend.