Hyperautomation is the technology trend of the future. It can help companies to work faster, more efficiently and more focused. In order to make hyperautomation a success, specialized and reliable providers are needed to support customers during the technical implementation.
The digital business platform as a hub
Chatbots 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 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 specifically 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 optimised.
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.
No automation between door and hinge
Currently, hyperautomation is still in its infancy: it is now clear that automation only makes sense if all the various tools available are combined. According to Gartner, it includes analysis, design, automation, measurement, monitoring and reassessment of entire processes. Just process automation already leads to a considerable reduction in throughput time and thus in average working time. Hyperautomation, however, promises even greater added value by combining different technologies.
To successfully implement hyperautomation, companies must develop an eye for possible 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 important keywords in this context, in order to recognize patterns in processes and to provide answers before questions arise. Business rules separate the business logic from the process logic and are therefore becoming increasingly important for automation.
Hyperautomation should not only be seen as a purely technical solution, but must be lived. It is therefore important to know exactly which processes are being optimized and to analyze them in detail in advance. Only then will the hoped-for added value become reality. This requires specialized and honest providers who support the customer at an early stage.
Change drives hyperautomation
Hyperautomation offers great potential, especially for industries that are currently undergoing change. New business models and new market participants put companies under pressure and drive change. In this case, not only automation is needed to quarantee improvements, but also major changes and a new approach that hyperautomation can deliver. In the future, the success stories of hyperautomation will be found where speed is of the essence and yet complex processes still take place.