Hyper-automation is the new buzzword. What it is exactly, where the potential lies, and how you view and approach it from the demand side.
Thomas Schaller, Managing Partner at ipt and expert in process automation, shows in C-Level magazine the great potential of artificial intelligence (AI) in the context of business process automation.
The old topic of automation was enriched with new tools and terms and summarized under the new term hyper-automation:
These tool categories combined with the approach that process topics can be approached and advanced with AI, machine learning, speech recognition and processing, character recognition or chatbots can be summarized under the name hyper automation. «This is a step towards intelligent and decision-supporting business processes», as Thomas Schaller points out.
Over 100 decision-makers took part in the study conducted by ipt and C-Level in 2019. The result was that the majority (57%) saw greater potential in increasing earnings rather than reducing costs. «Accordingly, processes in the area of customer experience and marketing are seen as those with the highest potential for earnings,» explains Thomas Schaller, an expert in process automation. In the field of pattern and anomaly recognition, 44% of companies see promising applications for artificial intelligence.
Your specialists know the processes in detail. The AI experts have practical experience with artificial intelligence.
In times of crisis, gaps in automated and digitalized processes can be clearly identified. Are you considering how you could benefit from largely automated business processes at this time?
Analyse the gaps using the following points:
Possible areas of application are: Customer support, electronic order processing, medical assistance, personal financial advice, education and training, personal assistance or in the leisure sector (support with electronic games).
In this way, trends can be extracted and complaints quickly identified.
Even handwriting can already be automatically recognized and processed. Automatic processing of text inputs and subsequent correct routing of the information offers new possibilities in process automation.
This also allows the required stock levels to be predicted more accurately.
This is used, for example, in medicine to analyze X-ray images or by insurance companies for an automated claims handling process.
The pronounced ability of pattern recognition makes Machine Learning an optimal support in early recognition.
This is a promising field in which automation can be further increased.
Thomas Schaller's conclusion is that we are moving towards completely autonomously managed business processes. In the future, customer interaction will be individual, personalized, at any time and on any channel. Hyper-automation can be an incentive without immediately lapsing into hyper-activism. «Get to work today! It's a good moment.»
Read the full article by our Managing Partner and expert in process automation Thomas Schaller published in C-Level magazine 2|2020.