Hyperautomation is a set of advanced technologies used to develop the process of automation in any enterprise. Gartner had coined the term in 2019. It is an emerging approach to automation. It is a key factor in digital transformation and can help build fluid organizations who are capable of adapting to changes quickly.
Components of Hyperautomation
Hyperautomation is not just about mechanizing repetitive tasks carried out manually, but automation of the business process as a whole. This includes involvement of ML, AI and RPA (Robotic Process Automation). We can divide hyperautomation into three components. They are:
a) Automation – The first step which is to be laid is a strong automation foundation. This includes RPA and other automation solutions necessary to accommodate teams and departments.
b) Orchestration – An enterprise job scheduling solution helps to integrate data from the automation tools and the divergent technologies.
c) Optimization. These divergent technologies together makes a complete enterprise solutions. This helps organizations to optimize existing process, discover missed opportunities in automation, create new processes by using NLP or OCR.
Benefits of Hyperautomation
Hyperautomation is a primary factor in digital transformation. This is because it can reduce manual involvement for low-value processes. Some of the benefits of hyperautomation are:
a) It can lower the cost of automation by streamlining business processes. It helps organizations to complete tasks more efficiently, in lesser time. This helps in cost reduction and customer satisfaction. There is also a reduction in the operating costs of companies. As per Gartner, by 2024, by combining hyperautomation technologies coupled by redesigned operational process, the costs can be reduced by 30%.
H) hyperautomation benefits everyone in the organization from business to technology-level. It enables people to automate from basic to more complex, end-to-end business processes. It can manage the full cycle of automation at a big scale.
Hyperautomation use cases across Industries
In the medical and healthcare industry, currently, digital nurses have started inquiring about patients’ well being and their symptoms to diagnose in a better way and suggest appropriate medical facility if required. It can ensure smart billing, recognize policy inclusions and terms and a bot may submit bills that have supporting documentation.
Banking sector provides many applications. For instance, Enterprise Support, Marketing, Sales, Back-office operations, eKYC measure allows manually written KYC forms transform to electronic data in suitable KYC portals.
In retail segment, by hyperautomating, we can improve on bill payments, order management, procurement, data monitoring and likewise.
In case of customer service center industry, caller data can be better handled. So, it can help in improving call quality. Specialists can focus more on recovering data from different frameworks. AI can also help in separating calls depending on the call intent.
The insurance sector allows data verification against client certification while processing a claim. Automation of consistence checkpoints also provides quick claim processing.
Hyperautomation will eventually have the greatest impact in the next decade. The aim of hyperautomation is not only to save costs, boost productivity and gain efficiencies through automation, but also to capitalize on the data collected and generated by digitized processes. On the whole, organizations can plumb that data to make better and timelier business decisions.
