Hyper Automation A Studied Approach – What, Why & How?

Hyper Automation A Studied Approach

When we think of automation, terms like robotic process automation come to mind. But, hyper-automation takes an ecosystem of technologically advanced tools and combines them to create a new way to work.

 

It means that low-value tasks are optimally performed with automation tools, machine learning, and advanced artificial intelligence so that outputs can be produced automatically and run efficiently with little to no human intervention. Then, together with humans, hyper-automation can create a workplace that is always informed, agile, and able to use data and insights for quick and accurate decision-making.

 

What is Hyper-Automation?

What is Hyper Automation
Hyper automation is a framework and set of advanced technologies for scaling automation in the enterprise; the ultimate goal of hyper-automation is to develop a process for automating enterprise automation. The term hyper-automation was coined in 2019 by the IT research and advisory firm Gartner. The concept reflects the insight that robotic process automation (RPA) technology, a relatively new and massively popular approach to automating computer-based processes, is challenging to scale at the enterprise level and limited in the types of automation it can achieve. Hyper automation provides a framework for the strategic deployment of various automation technologies (including RPA) separately or in tandem and augmented by AI and machine learning.

 

Hyper automation implies a studied approach to automation. A hyper-automation practice involves identifying what work to automate, choosing the appropriate automation tools, driving agility through the reuse of the automated processes, and extending their capabilities using various flavours of AI and machine learning. Hyper automation initiatives are often coordinated through a centre of excellence (CoE) that helps to drive automation efforts.

 

The aim of hyper-automation is not only to save costs, boost productivity, and gain efficiencies through automating automation but also to capitalize on the data collected and generated by digitized processes. Organizations can plumb that data to make better and timelier business decisions.

 

It is important to note that hyper-automation is not meant to entirely replace humans. Rather, through automation, humans are freed from repetitive and low-value tasks to focus on ones that are of a higher value to the organization. Together, automation and human involvement help organizations to provide superior customer experiences while reducing operational costs and boosting profitability.

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Key components of hyper-automation

The ability to include humans in the digitization process is a key component of hyper-automation. The first wave of automation technologies largely relied on robotic process automation (RPA). RPA involves the use of bots to mimic repetitive human tasks. These processes are rule-based and utilize structured data to complete actions. Unlike artificial intelligence which seeks to simulate the human intellect, RPA focuses solely on human actions. With hyper-automation, digital workers operate alongside humans to deliver unmatched efficiency.

 

By using a combination of automation technologies, hyper-automation can overcome some of the limitations of approaches that rely on a single automation tool. This allows organizations to move beyond the confines of individual processes and automate nearly any tedious and scalable task. Automation, however, requires careful planning and implementation. Organizations need to understand how digital technologies will fit into their existing workflows, as well as what roles they will play in new processes. Simply introducing automation into a business process without appreciating the role that it will play, or automating a process that is already broken, can have major consequences at the organizational level.

 

There are several types of automation technologies . These include:

 

  • Robotic process automation (RPA)
  • Business process management (BPM)
  • Artificial intelligence (AI) and/or Machine learning (ML)
  • Advanced analytics

 

Robotic Process Automation (RPA) – RPA is a form of process automation solution that enables business users within your workforce to automate a task based on a series of actions normally completed by humans.

Intelligent Business Management – This type of automation goes beyond the scope of RPA, and rather than focus on automating a single task, comprises a complete set of tasks involved in an end-to-end workflow.

Artificial intelligence – AI represents the series of intelligent processes available in a company’s tech stack, including machine learning (ML), which enables software to identify data patterns, natural language processing (NLP), and intelligent optical character recognition (OCR).

Advanced analytics – Examining data using techniques and tools to gauge deeper insights into a business’ processes, forecast business outcomes, and generate recommendations around decision-making to realize maximum value and ROI.

Robotic Process Automation

Benefits :

Hyper-automation provides your business and its leaders with:

 

  • Automated processes
  • Advanced analytics
  • Increased employee satisfaction and motivation
  • An educated workforce

 

  • Increased employee capacity
  • Instant and accurate insights
  • Greater compliance and reduced risk
  • Greater productivity
  • Increased team collaboration


Insight International helps clients achieve types of automation with effective results. Visit the website www.insightinc.co.uk or contact us at 44(0)-7587901161;

+44(0)2074171712.

 

 

 

References: https://www.gartner.com/en https://go.forrester.com/ https://home.kpmg/xx/en/home.html https://www.ibm.com/in-en

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Insight Inc May 14, 2021 0 Comments
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