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Hyper Automation


Hyper-Automation is a fast & complete process automation. It is the application of advanced technologies like RPA (Robotic Process Automation), Artificial Intelligence, machine learning, and Process Mining to augment workers and automate processes in ways that are significantly more impactful than traditional automation capabilities.

Hyper-Automation is the continuous integration of automation into business operations. It equates to more machines doing more things. It’s the next phase of digital transformation for businesses that are to remain competitive. A digital enterprise is already familiar with many of the benefits of automation like:

    • Consistent products and services
    • More efficient products and services
    • Fewer errors in the supply chain
    • More effective use of data throughout the business

Hyper-Automation takes automation a step further. When businesses achieve Hyper-Automation they achieve high-performance. This makes way for specialists and a revision of the human element in business.

Hyper-Automation combines a wide array of technologies to

    • Enable the modern workforce
    • Transform through Business and IT Alignment
    • Leverage AI to enable end to end automation
    • Provide important insight into ROI from automation


There are many benefits to perfecting the Hyper-Automation of systems and infrastructure. Following are some of the key advantages of adopting Hyper-Automation:

 Enabling of your workforce

Employees can get more productive work completed because they aren’t focused on the mundane day-to-day tasks. Enabling of the workforce with Hyper-Automation, one can see increased productivity and better results. Companies that successfully employ Hyper-Automation can grow exponentially by reducing the amount of human interaction with mundane tasks and enabling their workforce to complete tasks targeted more towards growth.

 Creating upskilled employee base

When organizations focus on enabling their workforce to do better, they create a more skilled and competent workforce. When mundane tasks go to machines, employees essentially specialize. This creates a work environment that is ready to handle activities with expert-level support. Businesses gain competence and authority when they upskill their employee base with Hyper-Automation.

 Return on Investment

With access to important analytics data, businesses can ensure they deliver on return on investment, or ROI. ROI is a key metric for all businesses indicating it is making money on sales and marketing initiatives. Return on investment is the single most important metric to determine if marketing efforts are positively impacting the business. That’s why achieving a better ROI is an important goal of hyper-Automation.

Integrating software and processes

Seamless communication between on-premise infrastructure and data storage permit systems to communicate effortlessly, ensuring all essential systems have access to the same centralized data. Today’s enterprise infrastructure businesses practice hybrid-cloud and/or multi-cloud infrastructures where integration is an essential part of the efficiency process.

Increasing business agility

Business agility is the principle that allows businesses to grow and change with boundless scalability. Hyper-Automating a business, increases agility because business assigns basic tasks to AI, allowing specialists to handle the most critical escalations.

 Improving machine learning

Today’s technology allows artificially intelligent machines to learn where the “Submit” button is on a website, and how to press it, no matter where the button is found on a page. Additionally, machine learning can be trained to recognize things like voices or facial expressions. In today’s age, there are ways improved machine learning can benefit a business.

Optimizing KPIs

Most importantly, businesses must optimize key performance indicators. KPI’s that tell business leaders how they are performing against established goals. When routine tasks are removed from the parts of the service cycle that require human interaction, businesses can improve their delivery metrics and optimize important KPIs.

These are some of the Hyper-Automation use cases across Industries.

    • Banking and Financial Services. The banking industry has great potential for implementing Hyper-Automation.
    • Insurance
    • Healthcare
    • Retail
    • BPO and Customer Service focus Industry.


Global Hyper-Automation market, By End-use Industries as under:

    • Manufacturing
    • Automotive
    • Healthful
    • BFSI
    • Retail
    • Others

Benefits and challenges

Hyper-Automation enables the workforce, transforms organizations through business and IT alignment, uses AI to enable end-to-end automation, and provides crucial insight into ROI. This development of people-centric smart workplaces leads to increased efficiencies and cost savings. Gartner predicts that, by 2024, organizations will cut operational costs by 30% through a combination of hyper-automation technologies and redesigned operational processes.

By augmenting the work of human beings with automated technology and tools, Hyper-automation aims to promote sustainability while saving money and generating more revenue. However, gathering the right tools, and applying them effectively is challenging for organizations that need to understand the breadth of automation mechanism, how they relate to one another and how they can be combined and coordinated. As the use of hyper-automation expands, software must be interoperable. When new technologies are introduced, having systems that are plug-and-play can help organizations scale their operations efficiently.

In data-intensive fields, particularly those related to the Internet of Things (IoT), Hyper-Automation may prove beneficial in the future. For now, many companies seeking to tap IoT opportunities need first to focus on device connectivity and data collection challenges. The next challenge is using analytics and AI technology to extract business insights from the data opening bigger potential opportunities for Hyper-Automation.


Future Automation belongs to the Hyper-Automation

Hyper-Automation is one of the trend to look out for in 2020. The technology has grabbed first place in the list of Gartner’s top 10 strategic technology trends that will drive significant disruption and opportunity over the next five to 10 years.

Automation uses technology to automate tasks that once required humans. Hyper-Automation deals with the application of advanced technologies, including artificial intelligence (AI) and machine learning (ML), to increasingly automate processes and augment humans. Hyper-Automation not only extends across a range of tools that can be automated, but also refers to the sophistication of the automation.

As no single tool can replace humans, Hyper-Automation today involves a combination of tools, including robotic process automation (RPA), intelligent business management software (iBPMS) and AI, with a goal of having an increasingly AI-driven decision making.

Although not it’s main goal, Hyper-automation often results in the creation of a digital twin of the organization (DTO), allowing organizations to visualize how functions, processes, and key performance indicators interact to drive value. The DTO then becomes an integral part of the Hyper-automation process, providing real-time, continuous intelligence about the organization and driving significant business opportunities.

Automation anywhere defines Hyper-Automation as the extension of legacy business process automation beyond the confines of individual processes. By marrying AI tools with RPA, Hyper-Automation enables automation for virtually any repetitive task executed by business users. It even takes it to the next level and automates the automation dynamically discovering business processes and creating bots to automate them.

With a range of tools like Robotic Process Automation (RPA), Machine Learning (ML), and Artificial Intelligence (AI), working in harmony to automate complex business processes including where subject matter experts were once required Hyper-Automation is a means for real digital transformation.

Hyper-Automation provides a high-speed route to engaging everyone in transforming the business, supported by automating more and more complex work that relies on knowledge inputs from people.

Upskilling RPA with intelligence creates intelligent digital workers that can take on repetitive tasks to augment employee performance.

These Digital Workers are the change agents of Hyper-Automation, able to connect to various business applications, operate with structured and unstructured data, analyze data and make decisions, and discover processes and find new automation opportunities.

AI is what differentiates Digital Workers from standard automation approaches. Making RPA+AI the essential ingredients of Hyper-Automation.

And by uncovering and automating previously inaccessible data and processes, Hyper-automation offers another unique benefit: the creation of a digital twin of the organization (DTO). How does that help? A DTO makes visible the previously unseen interactions between processes, functions, and key performance indicators.

According to a market report, the global Hyper-Automation market was valued at US$4.2 Billion in 2017 and is expected to exhibit a CAGR of 18.9% over the forecast period (2019-2027). It is most likely to surpass US$ 23.7 billion by the end of 2027.

 Hyper-Automation unlocks maximum potential for an automated enterprise

Artificial intelligence capabilities such as?machine learning (ML),?natural language processing (NLP), intelligent?optical character recognition?(OCR) ?, and?AI?computer vision,?so robots can read, see,?and process more work.

 Automated? process ?discovery ?tools that look deeply into how your teams work to show you what you can and should automate.

 Advanced analytics to measure and demonstrate the ROI of automation and its impact based on business outcomes that matter to the company

 Workforce engagement capability is ways to enable everyone in an organization to contribute to automation. Involve not just the traditional RPA developers and testers, but also involve your subject matter experts, business analysts, and business users.

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