Hyperautomation – A Combination of RPA, Low-Code Platforms, and AI-driven Solutions


We are in a world where we have access to automated capabilities. Automation is not a new-born concept. It’s been present for quite some time as manufacturing sectors started implementing automation in assembly lines a decade back. Even though automation is becoming popular, especially due to the hype of autonomous vehicles, numerous organizations still feel hesitant to deploy this technology. 

It’s because these organizations fear change and employees assume that their jobs are at risk instead of focusing on the immense strategic and valuable benefits automation brings to the table. Nonetheless, as automation is getting matured, new technologies like hyperautomation are stealing the spotlight, implying that organizations are shifting their practices towards making people-centric smart workplaces.

To talk about hyperautomation, it previously entered the business and tech vocabulary when Gartner included it in the lead spot for their ‘Top 10 Strategic Trends for 2020’. With Robotic Process Automation (RPA) at the peak of the publicity cycle, it’s quite evident that it’s present in Gartner’s Top 10 Strategic Trends for 2021 as well. As hyperautomation keeps on filling in ubiquity, many actually struggle to understand precisely what it alludes to. Is it another form of automation, yet rapid? Let’s try to understand this new technology.

What is Hyperautomation?

Hyperautomation was coined by Gartner itself. So, let’s look at the definition of Gartner;

“As no single tool can replace humans, hyperautomation today involves a combination of tools, including robotic process automation (RPA), intelligent business management software (iBPMS) and AI, with a goal of increasingly AI-driven decision making.”

In simple terms, hyperautomation is the execution of an end-to-end automation toolchain. It enables enterprises to automate more intricate and complete business processes rather than just parts of them.

Hyperautomation is an extraordinary tool to assist enterprises with accomplishing true progress on their digital transformation journey. With complete automation, it also automates business tasks when needed. This provides profitability gains to more workers, improves their work satisfaction and accordingly their motivation to perform. It can likewise improve customer experience, assist with securing new customers and retention of both employees and customers. The objective is to improve the profitability and productivity of business processes across the organization.

Key Ingredients of Hyperautomation

  • Process/Task Mining
  • Automation tools like low-code development tools
  • Robotic Process Automation (RPA)
  • Intelligent Business Process Management (iBPMS)
  • Artificial Intelligence 

Process/Task Mining

Process mining is an analytical field that helps in having a profound comprehension of an organization’s processes. It has an expansive range of use cases from normal applications, for example, process optimization to industry-explicit applications like threat detection in an audit. Process mining is crucial for process comprehension and simplification, which are significant empowering agents of hyperautomation.

Robotic Process Automation

Robotic Process Automation is a beneficial method to deal with data migration when systems lack effective APIs. RPA helps IT professionals by making this process less labour-intensive. It is also implemented to automated monotonous and mundane operations like data structuring and input.

Intelligent Business Process Management

An iBPMS is a suite of technologies that synchronizes people and machines in process delivery. An iBPMS empowers enterprises to model, deploy, and execute sets of interrelated processes by applying business rules. Even though it is less mainstream with the development of RPA, it is as yet a helpful tool for hyperautomation.

Low-code Development Tools

Low-code is a crucial piece in the hyperautomation puzzle. Through visual simplified interfaces, business analysts and IT developers can team up to make enterprise applications in a matter of few days or weeks, which earlier took months. Low-code programming makes it faster and simpler to adapt to change and automate processes.

Artificial Intelligence

We all know about artificial intelligence. Implementing AI, organizations have started to quickly grow their services infrastructure. Since AI-based machines are fit for performing numerous tasks, to accomplish hyperautomation, you should strategically deploy AI.

How Does Hyperautomation Work?

Hyperautomation itself has automation in it. Hence, to implement hyperautomation, enterprises should have a solid automation foundation. This can and normally incorporates robotic process automation for automating fundamental tasks, IT automation tools for data warehousing, as well as a  bunch of other automation tools that are important for different teams and divisions.

Automation tools sit on top of the orchestration tools, such as intelligent business process management solution (iBPMS), workload automation solution, low-code automation tools, etc. These solutions ought to give the extensibility as it is important to incorporate data from both the automation tools and other different technologies implemented across the enterprise.

At that point, someplace along the line, artificial intelligence should enter and along with other technologies, progressively packed into enterprise orchestration solutions. 

One more important step in the process if hyperautomation is a DTO. A digital twin of an organization is called a DTO. Basically, a DTO is a bunch of software models that create an organization. It’s important to accomplish DTO prior to executing hyperautomation.

DTO is a crucial stage during the process of becoming a hyper automated business since it permits organizations to display quite a few situations that could affect their digital business. With a series of software models running situations that could happen within the organization, leaders can better get ready for any vulnerabilities in the business model.

Benefits of Hyperautomation

Consolidating robotic process automation with AI technologies empowers organizations to explore more automation opportunities. Hyperautomation enables enterprises to

  • Discover and automate every possible task and business process by collaborating AI technologies with RPA and BPMS.
  • Manage automation lifecycle, beginning from process discovery to estimating the return on investment on a large scale.
  • Give everybody the authority to automate and add to the process of change to transformation, gaining a significant impact.
  • Efficiently orchestrate work between bots and people utilizing hyperautomation advancements.

Yes, Hyperautomation is Different from Automation

Automation is just a tool. Whereas, hyperautomation is a consolidated strategy with a definitive objective of making and streamlining end-to-end processes that help develop new business propositions. Unlike automation, hyperautomation moves the focus of automation to decision-making and more mind-boggling tasks. It requires collaboration between humans too as they are fundamental decision-makers and can utilize the innovation to decipher data and apply logic.

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