Why, What, How of Hyperautomation

Updated: Jan 1

Hyperautomation – Automating with advanced technologies.



Essentially, it's automation and orchestration of the entire organization, including real-time tracking of value from ideation, discovery to execution.


The term "hyperautomation" was coined by Gartner in 2019. IDC, for example, calls it "intelligent process automation." Forrester calls it "digital process automation."

Irrespective of the name, hyperautomation is a powerful combination of digital technologies and tools available for automation that will continue to evolve and improve as they become more widely adopted, ushering in a new era of automation that will have even more promise for streamlining corporate operations and improving employee lives.


We'll examine what hyperautomation is, what digital technologies it involves, and what benefits it offers in this post.


What is hyperautomation?


A variety of automation technologies are available for businesses and IT. The tools are typically script-based, rule-based, or designed for specific use cases. Simple tasks can be automated with these tools on an ad hoc basis.


With this approach, the organization becomes a patchwork of segregated automation. It is therefore challenging and expensive for IT to develop automated, end-to-end procedures to support business objectives.


Essentially, that is the difference between automation and hyperautomation: automated processes are primarily about automating basic tasks for the sake of efficiency, while hyperautomation is about automating and coordinating processes to create new processes that would otherwise not be possible using traditional processes.


An enterprise automation system that is designed to scale using hyperautomation. In hyperautomation, humans can play a significant role by collaborating in the digitization process.


Using a systematic approach, business-driven hyperautomation involves discovering, validating, and automating as many acceptable business and IT activities as quickly as possible. Hyperautomation is a collection of technologies rather than a single technology, which is the first thing to know about it. Its objective is to increase the automation of all corporate processes. Through introducing and automating numerous technologies, tools, and platforms. Hyperautomation supports business activities with the purpose of improving corporate decision-making.


Using hyperautomation can produce data that provide a level of business intelligence not previously available. Thus, repetitive activities are eliminated, the risk from human error is reduced, operational efficiency and robustness are improved, and employee performance improves. The whole process is far more intelligent when using hyperautomation since it contains additional intelligence. As a result of AI, different types of intelligence may be constructed, including optical character recognition and natural language processing.


What is the most important element of hyperautomation?


In order to reap the benefits of hyperautomation, companies must first invest in the appropriate tools and technology. Your choice of tools will impact how the process is carried out. Our recommendation would be to choose something scalable, easy to integrate, smooth, and user-friendly.


Continuing our discussion on selecting the correct tools, let's go into greater detail about what hyperautomation can and should accomplish. In other words, hyperautomation is a combination of the two. One of the reasons it is such a useful phrase is that it covers a wide range of automation tools, technologies, and platforms. There's a good chance you already know some of these technologies. We'll go over each one separately.


Robotic Process Automation


Automation of repetitive tasks incorporating processes is achieved by robotic process automation (RPA). We can automate various processes such as procurement, pricing, billing, quote requests, follow-up, data input, and system maintenance and repair. As humans work with software applications and systems in the same way that robots do, RPA software bots can do the same. RPA software bots, however, work around the clock, faster, and with maximum precision and dependability.


Artificial Intelligence


The term artificial intelligence (AI) covers a wide range of techniques for learning from data. It is concerned with the development of intelligent computers capable of doing tasks that would otherwise necessitate the use of human intelligence. In addition to AI technology such as Machine Learning (ML), Natural Language Processing (NLP), API connections, digital process automation, and Optical Character Recognition (OCR), there are lots of other examples of AI technology that can be used depending on the application.


Machine Learning


The goal of Machine Learning is to enable machines to learn and develop programs, allowing them to become more intuitive. The process of machine learning allows robots and computers to make decisions based on data instead of being precisely programmed. By using machine learning techniques you can optimize the process. The process uses computational resources, historical and real-time data analysis, and automated procedures to avoid delay.


Intelligent Business Process Management


A number of different methods are used by Intelligent Business Process Management to identify, model, assess, measure, improve, and optimize business processes. People, systems, information, and objects are all coordinated by iBPM to deliver business outcomes that support your company's goals.


Process Mining


Using process mining tools, hyperautomation tools track processes that need to be accelerated and accelerate outputs. An organization's transactions are interpreted by process mining software, and you're shown how to complete them effectively.


Why Hyperautomation?


A hyper-automated process encompasses more than just putting technological tools in place to manage tasks. It requires human input in order for decisions to be logical and based on facts. Hyperautomation offers enterprises a framework for expanding, integrating and optimizing enterprise automation. In addition to building on the successes of RPA tools, it also addresses their weaknesses.


The term hyperautomation describes the sophistication of the full automation process (i.e., Idea, Discover, Build, Control, Value),

in addition to extending over a wide range of technologies. In this sense, the term hyperautomation describes both an expansion of automation and its depth. Artificial intelligence-based automation has reached a point where businesses are creating "digital twins."


In addition to hyperautomation, digital worker analytics focuses on performance and process - such as how to measure the cost of developing, deploying, and managing automation to measure the return on investment, according to Forrester Research. Future automation efforts should be targeted based on the results of this research.


A hyper-automation system is a collection of tools, rather than one application or software package. Through the use of hyper-automation, a process can become more streamlined, more error-free, and more automated from start to finish.


Hyper-automation is an essential component of digital transformation. In order to collaborate and communicate, businesses will need to use "compatible" tools. It will be important not only for your solutions to be simple to use and scalable, but you will also need to consider how the addition of the tool will interact with your existing workflows.


In recent years, automation and hyperautomation have become increasingly popular. Maintaining an edge on the competition means constantly evaluating your current processes and ensuring that the tools and technology stack you're using is up to date.


How to start using Hyperautomation


Business organizations are rapidly implementing automated technologies to reduce costs and increase efficiency. Robotic process automation (RPA) and artificial intelligence (AI) have already helped early adopters gain a competitive advantage by reducing human errors and accelerating process turnaround times. Although these technologies are important, it is evident that when they are used in isolation, the firms will not be able to sustain a profit over time.


Silos of automation may result in immediate advantages such as decreased operational costs, greater productivity, and compliance, but they do not deliver the long-term return on investment promised. It is likely that only a holistic automation approach will produce long-term benefits, which is called hyperautomation.


The level of success is determined by the quality of planning, as with every business enterprise. The creation of a Hyperautomation plan could aid you in consolidating your priorities and processes. There are four steps to fulfilling your Hyperautomation plan:


Decide what you want to accomplish.

Prior to developing a solid plan, define all the specific objectives you aim to accomplish with Hyperautomation integration. Adopting a holistic vision and strategy for business process automation is the key to a successful solution. Comprehensive strategies must include all employees, departments, and processes at your firm.


Simplify the scalability process.


During hyperautomation, an organization's automation capabilities can be scaled with advanced technologies. The process requires significant automation installations. Simply put, scalability has to be the guiding principle for every opportunity. We determine which RPA technology deployments will be most helpful to specific domains during this step.


Scoping the requirements


Internally or with the assistance of third-party experts, research is carried out. This process identifies processes that are appropriate for automation. Most often, it ends up in departments that deal with a lot of paperwork, such as finance, accounting, or human resources. As part of this stage, technology demonstrations and evaluations of selected RPA providers will serve as proofs of concepts (POCs) and knowledge-gathering platforms.


Developing the project, piloting it, and implementing it


As part of the RPA deployment, businesses ensure the relevant workforce is trained and ready to handle the tasks. Furthermore, guidelines and procedures are included with regard to maintaining and testing the IT infrastructure. During the implementation process, all actions are documented, tracked, and performed based on predefined criteria.


Let’s Wrap up

You will find everything you will need in this toolkit, which serves as a command centre for your hyper-automation initiative.


Hyperautomation is a real and inevitable part of our lives. It can be both positive and negative at the same time. Automation without understanding the process and following just the trend can have devastating effects on your organization. It is of critical importance to identify where hyperautomation is actually needed.


In contrast, the benefits greatly outweigh the risks. Powered by artificial intelligence, this 'intelligent' layer is critical to growth and innovation. When used in conjunction with the right automation software, it can greatly enhance your company's automation options and benefits.


Our team can assist your firm in implementing a "Hyperautomation" strategy using automated workflows and data-driven machine learning to create more effective business processes that are supported by today's digital workforce.


Please connect with us, as we offer one solution for your hyperautomation orchestrated solution. and totally customizable. Get a free consultation. You can follow our LinkedIn page and our hashtag - #dxsolutionadvisor, on LinkedIn.



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