Hyperautomation refers to the use of advanced technologies such as artificial intelligence (AI), machine learning (ML) and robotic process automation (RPA) to automate complex business processes. The aim is to reduce human intervention to a minimum and maximize efficiency.


The term hyperautomation was created in the course of digital transformation and describes the development of traditional automation. While classic automation is limited to simple, repetitive tasks, hyperautomation goes a step further by integrating learning systems that can make decisions independently and adapt to new circumstances.

Areas of application

Hyperautomation is used in numerous areas, including finance, logistics, manufacturing, and customer service. Hyperautomation is used particularly in industrial environments to optimize production processes, reduce downtime and improve quality assurance.


The main benefits of hyperautomation lie in the significant increase in productivity and efficiency. By using hyperautomation, companies can reduce costs, reduce errors and increase the speed of business processes. Hyperautomation also enables better scalability of business models.


One of the biggest challenges when implementing hyperautomation is integration into existing systems. Companies must ensure that the new technologies work seamlessly with their current IT infrastructures. Another important aspect is security, as automated systems can be vulnerable to cyberattacks. Solutions can include comprehensive testing and the implementation of robust security protocols.


A specific example of the use of hyperautomation in an industrial company is the implementation of a self-service portal that offers automated solutions for customer inquiries using AI. This reduces the burden on the customer service team while improving customer satisfaction.


Hyperautomation is revolutionizing the way companies design their business processes by using advanced technologies to automate and optimize. It offers numerous benefits, including increased efficiency and productivity, but requires careful planning and implementation to overcome challenges.