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Hyperautomation – the smart toolbox for automation

Digital Process Automation Hyperautomation Digitalization RPA
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Andreas Balsiger
by Andreas Balsiger

Hyperautomation is the technology trend of the future. It can help companies work faster, more efficiently, and more focused. To make Hyperautomation a success, specialized and reliable providers must support customers during the technical implementation.

 

The digital business platform as a hub

Bots check the claim for compensation for flight delay or the legality of a cancellation – automation is no longer just a pipe dream. The latest buzzword is the so-called Hyperautomation. It is the front-runner on Gartner's list of the top 10 technology trends for 2020 and was created as a term specified by the market research institute.

However, this is by no means a reinvention of the wheel. The term covers the combination, coordination, and linking of different technologies for automation. These include Robotic Process Automation (RPA), artificial intelligence (AI), machine learning, natural language processing (NLP), process mining, and analytics – a toolbox from which you can draw as required. Thanks to the combination of tools such as RPA and AI, even complex and unstructured processes can be optimized.

This enables companies to work faster, more efficiently, and with greater focus. "By 2024, companies will reduce their operating costs by 30% by combining Hyperautomation technologies with restructured operating processes," predicts Gartner.

 

Automation should not be halfhearted or hurried

Currently, Hyperautomation is still in its infancy: It is now clear that automation only makes sense if all the tools available are combined. According to Gartner, it includes the analysis, design, automation, measurement, monitoring, and reassessment of entire processes. Process automation by itself already leads to a considerable reduction in throughput time and, thus, in average working time. Hyperautomation, however, promises even greater added value through the combination of different technologies.

To successfully implement Hyperautomation, companies must develop an eye for potential. Entire processes can be optimized, while RPA, for example, as a component of Hyperautomation, "only" automates a single work step. Machine learning and AI are essential keywords in this context to recognize patterns in processes and provide answers before questions arise. Business rules separate the business logic from the process logic and are becoming increasingly important for automation.

Hyperautomation should not only be seen as a purely technical solution but must be lived. Therefore, it is important to know exactly which processes are being optimized and to analyze them in detail in advance; only then will the aspired added value be achieved. This requires specialized and customer-focused providers who support the customer at an early stage.

 

Change drives hyperautomation

Hyperautomation offers its greatest potential for industries currently undergoing change. New business models and new market participants put companies under pressure and drive change. Under such circumstances, a new approach to automation is needed, which does not only provide marginal improvements but delivers major changes and guarantees improvements. The success stories of Hyperautomation in the future will be found in complex processes where speed is of the essence working efficiently.

AXON Ivy Tip

A digital business platform is not only the hub for process automation, but also offers numerous tools for hyperautomation in its standard version.