How Does Hyperautomation Work?

Quiz

Hyperautomation is nothing but an intelligent version of RPA (Robotic Process Automation), which combines technologies like AI, ML, and advanced analytics with the RPA to perform process automation with cognitive capabilities and enhanced decision-making.

Read this chapter to understand how hyperautomation works in detail.

How Does Hyperautomation Work?

The step-by-step explanation of working of hyperautomation is provided below −

Step 1: Identification of Areas of Automation

The working of hyperautomation starts with the identification of automation opportunities in a business organization. This stage of hyperautomation involves key activities like −

Identifying low-value, manual, repetitive tasks
Identifying complex processes and workflows that can be optimized through automation
Creating a map of workflows and processes within the organization

This step basically provides a foundation for determining inefficiencies and optimizing the processes through automation.

Step 2: Creating Digital Twin of the Organization

The digital twin of the organization, also termed as DTO, is an important concept that plays a vital role in implementation and working of hyperautomation.

It is basically a method of representing business processes virtually. In hyperautomation, the digital twin of the organization performs the following key functions −

It creates a dynamic model of the processes in the organization. For this, it makes use of process data and tasks mining tools.
It provides a detailed view of interactions between various processes and workflows.

DTO helps organizations to understand the inefficiencies in processes and refine them in real-time, so that automation can align with the business goals of the organization.

Step 3: Integration of Technologies

As we know, hyperautomation is not based on a single technology, but it uses a collection of multiple technologies to automate workflows and processes and provide enhanced decision-making capabilities.

Some of the key technologies and their functions in hyperautomation are given here −

RPA − Robotic process automation is the heart of hyperautomation and it automates all the repetitive tasks.
AI − AI simulates intelligence in hyperautomation and makes it possible to perform functions that require cognitive decision-making and predictive analytics.
ML − ML allows hyperautomation system to learn and improve from past experiences. It enhances accuracy of automation and allows systems to adapt changes.
Natural Language Processing − NLP in hyperautomation allows to simulate human conversations through text or speech. It is used to respond end-user's questions in real-time. This enhances customer experiences by providing faster and personalized supports.

All these technologies together make the hyperautomation an intelligent system so that it can handle both structured and unstructured data and processes.

Step 4: Design and Deployment of Workflows

After identifying processes to be automated and integrating required technologies, we now need to design and deploy workflows, which is done as follows −

Designing workflows by using different low-code or no-code platforms developed for hyperautomation.
Connecting multiple systems together to automate workflows. For this purpose, we can use various process automation tools like BPMS (Business Process Management Software) and iPaaS (Integration Platforms as a Service).
Making systems flexible to adapt changes in workflows to meet the business needs.

Step 5: Continuous Monitoring and Improvement

Once the hyperautomation has been deployed and put in execution, it must be monitored in real-time and improved to provide optimized process automation. It can be done as follows −

Continuously monitor the digital twin of the organization to see the performance of process automation and identify the inefficiencies.
AI-powered analytics tools are to be used to obtain insights for improving efficiency of workflows.
Update the hyperautomation systems on regular basis, so they can adapt to changing business requirements and technological advancements.

Conclusion

In this chapter, we explained the key steps involved in how hyperautomation works, where each step has a specific functionality associated with it. Let's now move to the next chapter and learn the benefits of implementing hyperautomation.

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