Hyperautomation is the way of combining various Intelligent Automation Technologies to enable end-to-end automation across processes and legacy systems. The different technologies could be, for example, Intelligent Business Process Management (iBPM), Robotic Process Automation (RPA), Intelligent Document Processing (IDP), Artificial Intelligence (AI), Test Automation, Intelligent Chatbots, and Process Mining.


Enabling end-to-end Automation through Hyperautomation

Combining different intelligent Automation technologies enables automating processes end-to-end. When Automating end-to-end processes, tasks can vary, and therefore different Automation technologies need to work in symbiosis to carry out tasks from beginning to end.

Process Mining and Hyperautomation

Process Mining is an analytical tool for your organization to get a deep understanding of your current processes. Process Mining has a broad range of use cases. For example, it can be used to identify relevant Process Automation opportunities and optimize current processes, which is fundamental in Hyperautomation.

iBPM and RPA

Laying the foundation in Intelligent Business Process Management (iBPM), and combining it with Robotic Process Automation (RPA), or other Automation technologies, is a powerful technology to map out and get an overview of an end-to-end process where different sub-processes are triggered by certain events where RPA, or other technologies, carries out the tasks.

RPA and IDP = Intelligent Process Automation (IPA)

In a time where data analysis plays a critical role in decision management, it's vital to be able to seamlessly make use of, and analyze the data available. Combining Robotic Process Automation and Intelligent Document Processing is a powerful combination of technologies to extract and analyze data from eg. emails, pdf, or other formats.

Intelligent Process Automation is a great Hyperautomation solution in eg. invoicing processes, where IDP extracts the data, and RPA performs the calculation and analysis and carries out other tasks, for example inputting figures in a system.

Why Hyperautomate?


RPA is a great technology, however, to really make use of its great Automation capabilities and scale your Automation initiatives, a combination of different Automation technologies is vital. We listed a few benefits of implementing Hyperautomation: 

  • Do not rely on only one Automation technology, but rather enable organizations to achieve scale and flexibility in operations

  • Enable your employees and improve productivity. Hyperautomation enables Automation on a broader scale, allowing employees to improve productivity, leaving the mundane and repetitive tasks to your virtual employee. 

  • Improve collaboration and communication. With the integration of different Automation Technologies, stakeholders have easier access to data and can communicate better across the organization.

  • Enabling end-to-end automation by combining Automation Technologies. 

  • Identifying your processes and getting an overview of your processes, as well as the data that is handled in each process. 


We are certain that within 10 years, all processes that can be automated, will be Automated.



Examples of AKOA's Hyperautomation processes


At AKOA, we have several ongoing Hyperautomation projects. A selected few processes that we have developed are:  

  • One of AKOA's clients in the Real Estate industry manages tens of thousands of apartments. Every year the Real Estate company has to ensure that the families living in social apartments are actually eligible regarding the number of persons and the overall income. Hence, the tenants need to fill out a standard survey and provide proof of their income. The survey data is read using Intelligent Document Processing,  and analyzed by RPA, determining whether income statements indicate rent control.

  • One of our clients, a global Automotive Original Equipment Manufacturer, automated a process for quality pre-check and order handling using OCR, NLP, and ML. The process extracts data from vendor offers (OCR and NLP) and learns to find the right key elements (ML). RPA is then used to automate checks in SAP, send automated price negotiation requests to suppliers and then create the purchase order in SAP. This automation saved them over 20.000 working hours per year!

  • Another one of our clients had the initiative to digitize over 200 000 rules and guidelines, such as standards, manuals, and policies. The standard procedure was for the employees to use their intranet search engine function, however, it was not working as efficiently as expected and returned a multitude of assets that the employees were not looking for. For this process, we did a Hyperautomation project including OCR, RPA, NLP and created an AI Chatbot that returned the requested documents or a suggestion for documents that match the search criteria.


Read more about Hyperautomation in our blog post!

Two people looking at a computer together

Read more about Hyperautomation in our blog post!

Hyperautomation refers to combining emerging Automation Technologies to enable end-to-end Automation. These technologies can include Intelligent Business Process Management (iBPM), Robotic Process Automation (RPA), Artificial Intelligence (AI), Machine Learning (ML), Intelligent Document Processing (IDP), Process mining, Test Automation, intelligent Chatbots, Natural Language Processing (NLP), and many more.

Read more about Hyperautomation!

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