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In Hyperautomation, an intelligent automation platform acts as a hub and orchestrates the interaction of individual technologies.

Focusing on the Interaction Between Different Automation Technologies

Andreas Balsiger
Andreas Balsiger
8 min reading time

Hyperautomation is set to be a leading technology trend in the coming years. It plays a crucial role in the digital transformation of companies, enabling them to operate more swiftly, efficiently, and with enhanced precision. For successful Hyperautomation, a detailed strategy and a comprehensive approach are essential. This involves the integration and coordination of various automation technologies, all centralized through an intelligent automation platform.

The Rise of Automation Technologies

Automation technologies have become integral to daily business operations. For instance, chatbots handle compensation claims for flight delays, assess contract cancellations, and manage approval processes. Automated invoicing systems are now commonplace.

According to Gartner analysts, Hyperautomation represents the next evolutionary step in automation. This concept, introduced by Gartner, involves integrating technologies like robotic process automation (RPA), artificial intelligence (AI), machine learning, natural language processing (NLP), process mining, and analytics. The result is a comprehensive toolkit that adapts to specific needs.

Hyperautomation has been high on Gartner’s list of the top 10 technology trends for the past three years, with analysts making some bold predictions: “By 2024, companies will have reduced their operating costs by 30% by combining Hyperautomation technologies with restructured operating processes.”

Strategic Approach to Hyperautomation

Companies should avoid the blanket approach of “automate everything that can be automated” without a strategic framework. A well-defined strategy and end-to-end approach are critical. This involves selecting the right processes for automation and collaborating with stakeholders to find appropriate solutions.

While case studies show that individual automation technologies can offer immediate benefits, they may not ensure long-term, widespread improvements on their own. The objective should be to achieve intelligent automation by synchronizing RPA, AI, machine learning, and other technologies based on specific requirements. This is achievable through an automation platform that unifies and orchestrates these technologies, systems, and information, acting as a central hub. Smooth, cross-functional interaction facilitated by this platform is key to realizing Hyperautomation.


“Success stories will be written wherever speed is of the essence, yet complex processes are the order of the day.”

Andreas Balsiger, Head of Product Management, Axon Ivy AG

Andreas Balsiger

Head of Product Management, Axon Ivy AG


Hyperautomation is Everywhere

When implementing Hyperautomation, it is important to extend the focus beyond core processes and customer interactions to include back-office and support functions. Hyperautomation should be embedded within the company culture rather than viewed merely as a technical solution. Engaging with experienced and transparent providers early in the process is crucial for maximizing benefits.

Driving Change with Hyperautomation

Above all, Hyperautomation holds significant potential, especially for industries experiencing substantial transformation. As new business models and increased competition put pressure on companies, incremental improvements are often insufficient. Instead, a comprehensive approach to digitalization and synchronization is required to address these challenges effectively.

Hyperautomation enables this by fully integrating and automating business processes, leading to enhanced customer satisfaction, improved technological adaptation, and sustained competitive advantage. Success stories are likely to emerge in environments where speed is crucial, and complex processes are prevalent.


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