Machine learning service provider

Bindu Vijayan

According to Gartner, “Hyper-automation refers to an approach in which organizations rapidly identify and automate as many business processes as possible. It involves the use of a combination of technology tools, including but not limited to machine learning, packaged software and automation tools to deliver work”.  Hyper-automation is to be among the year’s top 10 technologies, according to them.

It is expected that by 2024, organizations will be able to lower their operational costs by 30% by combining hyper-automation technologies with redesigned operational processes. According to Coherent Market Insights, “Hyper Automation Market will Surpass US$ 23.7 Billion by the end of 2027.  The global hyper automation market was valued at US$ 4.2 Billion in 2017 and is expected to exhibit a CAGR of 18.9% over the forecast period (2019-2027).”

How it works

To put it simply, hyper-automation uses AI to dramatically enhance automation technologies to augment human capabilities. Given the spectrum of tools it uses like Robotic Process Automation (RPA), Machine Learning (ML), and Artificial Intelligence (AI), all functioning in sync to automate complex business processes, even those that once called for inputs from SMEs,  implies this is a powerful tool for organisations in their digital transformation journey.

Hyperautomation allows for robotic intelligence into the traditional automation process, and enhances the completion of processes to make it more efficient, faster and errorless.  Combining AI tools with RPA, the technology can automate almost any repetitive task; it automates the automation by identifying business processes and creates bots to automate them. It calls for different technologies to be leveraged, and that means the businesses investing in it should have the right tools, and the tools should be interoperable. The main feature of hyperautomation is, it merges several forms of automation and works seamlessly together, and so a hyperautomation strategy can consist of RPA, AI, Advanced Analytics, Intelligent Business Management and so on. With RPA, bots are programmed to get into software, manipulate data and respond to prompts. RPA can be as complex as handling multiple systems through several transactions, or as simple as copying information from applications. Combine that with the concept of Process Automation or Business Process Automation which enables the management of processes across systems, it can help streamline processes to increase business performance.    The tool or the platform should be easy to use and importantly scalable; investing in a platform that can integrate with the existing systems is crucial. The selection of the right tools is what  Gartner calls “architecting for hyperautomation.”

Impact of hyperautomation

Hyperautomation has a huge potential for impacting the speed of digital transformation for businesses, given that it automates complex work which is usually dependent on inputs from humans. With the work moved to intelligent digital workers (RPA with AI) that can perform repetitive tasks endlessly, human performance is augmented. These digital workers can then become real game-changers with their efficiency and capability to connect to multiple business applications, discover processes, work with voluminous data, and analyse in order to arrive at decisions for further / new automation.

The impact of being able to leverage previously inaccessible data and processes and automating them often results in the creation of a digital twin of the organization (DTO); virtual models of every physical asset and process in an organization.  Sensors and other devices monitor digital twins to gather vital information on their condition, and insights are gathered regarding their health and performance. As with data, the more data there is, the systems get smarter with it, and are able to provide sharp insights that can thwart problems, help businesses make informed decisions on new services/products, and in general make informed assessments. Having a DTO throws light on the hitherto unknown interactions between functions and processes, and how they can drive value and business opportunities.  That’s powerful – you get to see the business outcome it brings in as it happens or the negative effect it causes, that sort of intelligence within the organization is a powerful tool to make very informed decisions.

Hyperautomation is the future, an unavoidable market state

hyperautomation is an unavoidable market state in which organizations must rapidly identify and automate all possible business processes.” – Gartner

It is interesting to note that some companies are coming up with no-code automation. Creating tools that can be easily used even by those who cannot read or write code can be a major advantage – It can, for e.g., if employees are able to automate the multiple processes that they are responsible for, hyperautomation can help get more done at a much faster pace, sparing time for them to get involved in planning and strategy.  This brings more flexibility and agility within teams, as automation can be managed by the teams for the processes that they are involved in.

Conclusion

With hyperautomation, it would be easy for companies to actually see the ROI they are realizing from the amount of processes that have been automated, with clear visibility on the time and money saved. Hyperautomation enables seamless communication between different data systems, to provide organizations flexibility and digital agility. Businesses enjoy the advantages of increased productivity, quality output, greater compliance, better insights, advanced analytics, and of course automated processes. It allows machines to have real insights on business processes and understand them to make significant improvements.

“Organizations need the ability to reconfigure operations and supporting processes in response to evolving needs and competitive threats in the market. A hyperautomated future state can only be achieved through hyper agile working practices and tools.”  – Gartner

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