Skip to content
Artificial intelligence

From Automation to Hyperautomation

The significant progress in global connectivity, coupled with the unstoppable development of Artificial Intelligence and Data Science, is driving this trend across all types of companies in diverse sectors.

The benefits of hyperautomation are clear: process improvement, greater efficiency, increased profitability, fostering sustainability, enhanced security, and freeing up teams from low-value-added tasks.

What is hyperautomation?

Hyperautomation, Digital Process Automation (DPA), or Intelligent Process Automation (IPA) involves leveraging all the capabilities offered by new technologies to optimize business automation processes with Artificial Intelligence, Machine Learning, and Robotic Process Automation (RPA) tools. We are therefore talking about sophisticating automation through the deployment of the multiple technologies it offers.

Process hyperautomation consequently offers the opportunity to elevate digital transformation to its highest levels, automating repetitive, low-return processes, while providing comprehensive business knowledge that facilitates analysis and decision-making, driving what is now known as business intelligence. Teams can dedicate themselves to strategy design, resolving unforeseen events, and planning operations to improve organizational performance, leaving routine tasks to technologies derived from Artificial Intelligence.

The added value offered by hyperautomation lies in the combination of different technologies, without which the automation of certain tasks would not be possible. Moreover, they can unleash their full potential and autonomously identify processes susceptible to automation, allowing human capabilities to focus on critical thinking and analytical capacity.

Hyperautomation according to Gartner

Digitalization is no longer an option; it is a necessity to remain competitive in an increasingly complex market, as demonstrated by analyses from the prestigious consulting firm Gartner, which show that the growth of the hyperautomation tools market is unstoppable. From 2020 to 2022, the capital mobilized has grown by $115 billion, reaching $596.6 billion, with forecasts for its frantic escalation to continue as one of the technological trends that will mark the coming years.

Indeed, also according to Gartner, the combination of hyperautomation and operational process redesign will reduce organizations’ operating costs by 30%.

Advantages of hyperautomation

As we have seen, hyperautomation offers numerous benefits, including:

  • Increased efficiency: Hyperautomation makes it possible to increase efficiency ratios through the automatic execution of repetitive tasks, the enhancement of human capital capabilities, and data exploitation.
  • Minimization of errors: The margin of error in automated tasks is practically nonexistent.
  • Reduction of operating costs: Hyperautomation supported by process redesign reduces operating costs by 30%.
  • Liberation of human capital for high-value-added tasks: Human teams apply their full potential to high-value-added tasks (decision-making, data analysis, operational design, problem-solving…), which multiplies business benefits.
  • Increased employee satisfaction: Professionals assigned to operationally significant jobs feel more valued and useful by being able to apply their experience and knowledge to improve productivity.
  • Improved decision-making: Analyses resulting from the exploitation of business data with Artificial Intelligence and Machine Learning enhance and facilitate decision-making.
  • Faster execution: The ability of computers to execute tasks provides processes with great speed, so tasks that previously took a full day can now be completed in a few seconds.

Hyperautomation: a more profitable and sustainable future

As we can see, hyperautomation is here to stay. Its advantages are numerous, and its adoption is a necessity to ensure the competitiveness of businesses.

The unstoppable development of technologies such as Artificial Intelligence, Data Science, Machine Learning, and Robotic Process Automation (RPA) has completely changed the business landscape. This shift is driven by economic needs, of course, but also by the change in direction we are taking as a society towards a more sustainable world, where the environment and people have been placed at the center of the discourse.

Leave a Reply

Your email address will not be published. Required fields are marked *