The top technology trend for 2021, according to IT research and consultancy company Gartner, was hyperautomation. And, as we stand in mid-2022, it is by no means slowing down!

Hyperautomation has been anticipated to be the upcoming super catalyst for the corporate sector’s digital revolution as it aspires to bring all automated processes together on a single, customized platform.

Let’s examine what hyperautomation is and how it may help any business.

What is Hyperautomation?

“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), intelligent business process management suites (iBPMS), Integration platform as a service (iPaaS), low-code/no-code tools, and packaged software” is how Gartner defines hyperautomation. It denotes the present stage of digital process automation’s development, which followed the creation of digital workflow management systems in the 1980s.
Workforce, workflow, and other elements of any organization are combined through hyperautomation to increase operational effectiveness and, consequently, the bottom line – enriching business processes.

Why is hyperautomation important?

Organizations can build on, incorporate, and improve enterprise automation using the architecture provided by hyperautomation. It expands on the advantages of RPA tools while addressing their drawbacks.

Compared to other automation technologies, RPA has grown quickly, thanks to its usability and intuitiveness. Employees can automate all or a portion of their job by documenting how they complete a task because RPA mimics how people interact with apps. Automated tasks can also be measured for speed, accuracy, or other factors that businesses use to assess staff performance on the same tasks because bots mimic human actions.
However, one significant disadvantage of early RPA efforts for enterprise use was that the technology was difficult to scale. According to a 2019 analysis by Gartner, only about 13 percent of enterprises were able to scale early RPA initiatives. Enterprises are forced to consider the types and maturity of the technology and procedures necessary to scale automation initiatives as a result of hyperautomation.

According to Gartner, the key to hyperautomation is for businesses to have a mechanism for automating the automation. This distinguishes hyperautomation from other automation frameworks that just concentrate on enhancing automation tools or from concepts like business process automation (BPA), intelligent process automation (IPA), and cognitive automation that concentrate on automation itself.

How Hyperautomation works

Automation, orchestration, and optimization make up the three parts of hyperautomation.

  • Any hyperautomation approach must start with automation. It typically consists of minor tools and automation programs that assist with particular activities. RPA is one type of automation system. And, Hyperautomation combines several such automation techniques.
  • Orchestration is the process of integrating automation technologies into a bigger framework so that all processes are connected to one another and run in unison.
  • Optimization is a higher level of intelligence that enables validations, continual learning, and greater integration of automation and orchestration processes.

Creating a common platform from which autonomous automation processes can operate by linking processes, workflows, and environments is one of the common steps of a typical hyperautomation platform. Recognizing data from different sources, both structured and unstructured, and storing it in a self-consistent database so that the various automated processes can use it is suggested.

Making predictions about outcomes, such as efficiency and return on investment (ROI), based on the data gathered during operation, allows for continuous learning. The DTO (Digital Twin Organisation), or a digital doppelganger for the organization, can be made possible through hyperautomation. The DTO can be used to mimic interactions and provide real-time prediction because it is a digital representation of the business process or workflow. Operations can be carried out more quickly, more precisely, and consistently by automating repetitive, manual processes. These result in increased productivity and financial success for the company.

What advantages does hyperautomation offer?

The following are some of hyperautomation top advantages:

  • Reduces the need for shadow IT
  • Enhancing security and governance
  • Decreases the cost of automation
  • Boost the integration of AI and machine learning into business processes.
  • Makes it easier to gauge the success of digital transformation initiatives/
  • Aids in prioritizing future automation efforts.
  • Enterprises can employ hyperautomation in a variety of ways to enhance business processes as they become more adept at it.
  • A business might utilize RPA and machine learning to generate reports and extract data from social networks in the area of social media and customer retention in order to ascertain customer sentiment. It might construct a procedure for making such data easily accessible to the marketing group, allowing them to design timely, precise client campaigns.

What difficulties does hyperautomation present?

Enterprises are still learning how to use the novel idea of hyperautomation in real-world settings. Among the toughest obstacles are the following:

  • Deciding on an organization-wide CoE strategy.
    When it comes to managing large-scale initiatives, some businesses may perform better with a more centralized approach, while others will achieve greater outcomes with a federated or distributed approach.
  • Tools.
    Software for hyperautomation is not a panacea. Enterprises will struggle to assure interoperability and integration among various solutions, despite the fact that top automation providers are growing their hyperautomation capabilities.
  • Governance and security.
    In-depth monitoring and analysis of business processes that cross several departments, services, and even national boundaries can be beneficial for any hyperautomation activities.
  • Undeveloped metrics.
    The methods for figuring out how much automation will cost and what it might be worth are still in their infancy.
  • Manual augmentation is necessary.
    According to a Forrester study, only between 40% and 60% of the code for automation could be written automatically using current tools. When creating robust automation at scale, a significant amount of manual work is still necessary and must be budgeted.

[Also Read: How to Start With the Right Set of Technology for Hyperautomation? ]


A comprehensive strategy for managing future businesses, hyperautomation coordinates and optimizes a variety of technologies, including artificial intelligence (AI), robotic process automation (RPA), and process mining. It may do away with manual, repetitive tasks and simplify every aspect of a company’s operations with effective workflows in order to provide better goods and services and boost revenue. In an increasingly digitized environment, hyperautomation will be necessary to remain competitive, and embracing it will pave the way for future competency.

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