Hyperautomation

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Hyperautomation complements the outdated way of process automation by integrating artificial intelligence, machine learning and robotic process automation. These three unified principles work together to automate complex business processes by identifying almost all repetitive processes performed by humans and then creating robots to perform them.

The process of automation is even taken to a higher level using these principles by automating automation – artificial intelligence dynamically discovers business processes and creates robots to automate them. Essentially, hyperautomation is an approach to process automation that integrates tools and technologies combined with human capabilities.

In order to create a work environment that can use hyperautomation, it is necessary to:

  • Collect as much information as possible about the business system and its environment.
  • Define bottlenecks, delays and discover all possibilities for automating business processes;
  • Identify the inputs that will be needed to carry out the processes
  • Determine the automation platform and automation technologies that best suit the needs of users, using different tools and algorithms (RPA tools, AI and other)
  • Automate complex business and technological processes and tasks, and, in special cases, even automate the automated ones in order to achieve greater efficiency or additional cost reduction.

What is the advantage of hyperautomation over automation?

The benefits of using hyper-automation are multiple and are mostly reflected in the ability of organizations to perform tasks consistently, accurately and quickly, which leads to cost reduction and improved user experience. Hyperautomation enables businesses to integrate digital technologies into their processes and legacy systems. With the integration of technologies, stakeholders have better access to data and can communicate seamlessly across the organization.

Traditional RPA software cannot understand context and use unstructured data on its own. Humans are required to code rule-based tasks, interpret data and make automation decisions. Hyperautomation shifts the focus of automation to decision-making and more complex work. It also includes more focus on streamlining processes and a culture of enabling automation.