Hyperautomation is currently being treated as the future strategic technology trend and is taking classic automation to a higher level. By combining a wide range of coordinated digital technologies, companies can automate and optimize their business processes on a large scale. In this way, hyperautomation ensures faster processes, focused work and significantly improved company performance.
Intelligent Business Process Management Suites (iBPMS):
An Intelligent Business Process Management Suite is the further development of classic Business Process Management (BPM). iBPMS is not limited to process automation but offers many features for smarter processes and also supports human collaboration with social media integration, streaming analytics and real-time decision making.
With process mining, business processes can be visualized, analyzed and optimized using digital traces. The software helps to uncover critical information and process paths and recognize complex patterns. In this way, the tool can capture potential for automation and continuously monitor process optimizations.
Automation all around
The technological possibilities for automation are constantly developing, so that the scope of process automation will grow and, over time, more and more complex processes and knowledge work will become independent.
The agony of choice
Hyperautomation is only achieved by using a wide variety of intelligent tools. Those who manage to select them sensibly for their company and coordinate them with each other can gain the highest possible benefit and efficiency from them.
Elan is required
Due to today's fast-paced environment, companies must be able to quickly configure new processes while optimizing existing ones. It is important that employees question process flows, contribute to optimization and at the same time also understand the automation solutions. Who works on initiatives across departments can achieve higher effects as a result.
Hyperautomation cannot be equated with seamless process automation. Rather, it promotes cooperation among employees. Even if more and more AI-supported software robots are now performing activities that were previously done by humans, employees remain important decision-makers in an organization and do not lose their relevance. After all, the correct application of the new tools is just as much a task that requires human action as the interpretation of the data and the evaluation of the analyses. In the future, the use of various technologies will give companies an accurate picture of current customer satisfaction, for example. Promotions, campaigns or surveys for customer loyalty require a human emotionality and way of thinking. Interpreting the reports and data provided by the software and developing and implementing appropriate measures to this end will therefore continue to be done not by the software, but by the employees. The technology provides a basis, of which the results are then used by humans.