From Automatism to Self-Management: Evolution of the RPA

A modern office with several desks with computers displaying complex graphs and algorithms, symbolizing the integration of hyper-automation.

As we progress into 2025, Robotic Process Automation (RPA) continues to transform operation and innovation in the enterprise. Rising trends such as hyper-automation, Artificial Intelligence (AI) -driven skills and low-code platforms are positioning RPA as a strategic driver for digitization. It is no longer just about lowering costs, but maximizing return on investment (ROI) and ensuring the lasting success of automation. These trends are transforming the corporate landscape, demanding a focus on IT security and RPA lifecycle management. 

Hyper-automation and Process Impact

Hyper-automation is perceived as the mainstay of automation by 2025. This trend merges RPA with Artificial Intelligence, Machine Learning (ML) and process mining with the goal of automating entire processes instead of personal activities, achieving self-operating systems. It is estimated that it will impact about one-fifth of all business processes, promoting efficiency and speed. The adoption of hyper-automation enables companies to gain a competitive advantage, reducing costs and optimizing the speed and accuracy of processes.

A modern hospital where a humanoid robot is manning a computer and organizing medical records, while in the background, a farmer in the field is using a drone to monitor crops.

Advanced RPA and Emerging Sectors

The RPA powered by Artificial Intelligence will bring profound change by enabling bots to process unstructured data, understand natural language and make decisions in real time.

  • Education: Implementing RPA will free managers and teachers from repetitive and administrative tasks, allowing them to focus more on teaching.

  • Agriculture: This sector will experience a significant improvement in its supply chain, streamlining processes such as distribution and resource management.

  • Healthcare: Automation will optimize key processes such as medical records management, claims handling and billing, making the healthcare system more efficient.

  • These advances highlight the ability of RPA to revolutionize industries that previously had not been significantly impacted by digital automation technology.

A modern office full of workers collaborating while using low-code platforms on their computers to develop automation solutions.

Democratization and Security with RPA

With the growth of RPA (Robotic Process Automation), low-code platforms are gaining prominence by enabling even those users with no prior programming experience to become actively involved in the creation of technology solutions. This translates into a number of key benefits:

  • Democratized access: Low-code platforms allow anyone, regardless of their technical skills, to participate in the development and implementation of automation solutions.

  • Reduced technical barriers: With a basic understanding of code, it is now possible for non-expert users to develop automated processes without requiring advanced programming skills.

  • Driving innovation: These platforms foster creativity and innovation by making it easier for workers to design their own automated solutions. This often results in operational improvements and the creation of more efficient processes.

  • - Employee training: Workers acquire new skills that increase their value within their organizations, enabling them to better adapt to today's digital environment.

  • IT security: With the increase in automation, IT security has become a priority. The implementation of robust security systems is necessary to protect sensitive data.

  • Network traffic monitoring: Incorporating Artificial Intelligence skills is vital to monitor network traffic, enabling an agile response to any threat in real time.

  • Investment protection: Implementing effective security measures ensures that investments made in automation technology are not vulnerable to cyber-attacks, which is critical to sustaining continued growth.

  • These strategies are essential to ensure the long-term success of RPA implementations in an ever-changing business environment.

The progress of RPA in 2025 looks encouraging, with advances in AI, hyper-automation and low-code platforms shaping its evolution. Companies that follow these trends and properly manage the RPA lifecycle will be better positioned to flourish in the era of digitization. Incorporating novel technologies and implementing sound management practices will ensure that these automation solutions deliver lasting value and keep pace with fluctuating business demands.


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