What determines whether a company is a roaring success or a pitiful failure? The organization’s ability to adjust to the new developments that develop over time depends on its willpower. In this ever-evolving era, Hyperautomation – the concept introduced in 2020 by Gartner, has given businesses the flexibility, capabilities, scalability, and operational improvement required to succeed in the future.
More and more businesses are utilizing ML and AI to automate, reducing human error and increasing productivity in the process. Being an AI-driven approach, Hyperautomation is predicted to become the most effective solution for enterprises to transform their business model.
This topic has received a lot of attention in recent years. Therefore, in this article, I will provide you with more than a brief explanation and benefits of Hyperautomation, but how to implement it in your organization to improve business productivity, agility, and accelerate growth.
What Is Hyperautomation?
UiPath coined the term of Hyperautomation to describe the process of implementing advanced technology such as AI, Machine Learning, and Robotic Process Automation (RPA), etc… to automate work. It is an AI-driven process that is fed data and constantly improves to help automate jobs that were previously human responsibility as well as engaging everyone in an organization to be part of the transformation.
True to what Robert Cannon, Internet law and policy expert, predicts, “Everything that can be automated will be automated.”. Hyperautomation not only makes the automation process faster and more efficient, but it also makes the process smarter compared to conventional automation. It is a concept that aims to automate and optimize as much as possible to modify processes and build new ones that would have been otherwise impractical using traditional automation (RPA) methods.
Business Benefits of Hyperautomation
Gartner predicted that in 2024, businesses will reduce their operational costs by combining operational process restructuring with Hyperautomation technology. While the pandemic has forced 52% of organizations to cut costs and prioritize operational effectiveness, only 9% made those cuts in digital transformation. As enterprises restructure their operations and business models, investment in digital transformation initiatives has only gone up. This is not too surprising when we consider the benefits that Hyperautomation brings to businesses through the introduction of AI and a higher level of robotic intelligence.
The advantages that Hyperautomation first offers to businesses include:
1. Accelerating business: Hyperautomation combines a variety of elements and technology to increase the level of automation in your organization. It gives the traditional automation method more intelligence, allowing you to automate a large number of processes, whether they are repetitive or require knowledge, strategy, or logical thought.
2. Improved productivity & efficiency: By entrusting the combined power of Hyperautomation, you can free up your management team from up to 69% of low-level and day-to-day running tasks to focus to curate new and innovative solutions that will enhance the business’s productivity and efficiency. Additionally, enterprises are now able to evaluate enormous amounts of data using precise sophisticated analytics. With this, businesses and their staff can gain much from better decision-making.
3. Increase the agility of businesses: Hyperautomation evolves and grows with the enterprise. This approach ensures limitless scalability for your enterprise to grow in the future by utilizing intelligent automation tools. It helps businesses quickly adapt to the changing dynamics, uncover new opportunities, and evolve.
4 Steps To Implement Hyperautomation Into Your Organization
Define your desired business outcomes
Before start making any changes within your business, you should always ask yourself, “Why do I want to accomplish this? What impacts will it have on my organization?” and “What the company must do to achieve the desired outcomes?”. The same is true with Hyperautomation. Companies should ask themselves these questions at the start of implementation and define a concrete goal.
There are also some example questions for the main three-goal objectives listed down by Gartner:
1. Revenue: What will be your key drivers for revenue? The answers may include improving business operations, enhancing customer relationship management, etc.
2. Costs: Does it help you optimize costs? It involves the process of reducing error costs and speeding up tasks.
3. Risks: What is your compliance risk due to inefficient processes? Technology experts can reduce the risk of non-compliance with effective management processes.
Since implementing Hyperautomation can cost you much time, money, and effort, it’s deeply important to determine how Hyperautomation would help the entire business, not just a team or process set. In fact, process experts find that nearly four out of ten (40%) technological projects fail because the teams did not set clear goals from the beginning.
Optimize processes for scalability
Process optimization can increase scalability. Hyperautomation necessitates the widespread deployment of automation solutions, thus it is crucial to examine every opportunity through the lens of scalability. “How can business operations be made more efficient so that you may concentrate on growing other aspects of your business, or expand further down the line?” is the question to ask. This can be done by emphasizing how smart your processes can be, scaling the core processes, and improving them with decision intelligence, and structured and standardized data inputs. Once the plan is established, it clears the way for the next step.
Select, combine and evaluate the necessary tools
Although the use of Hyperautomation may be advantageous, there are difficulties in doing so. The clash between the software used for Hyperautomation is most likely the cause. Therefore, if the business doesn’t have a clear grasp of what to utilize, what technologies should be used to reach the desired outcomes, and how to combine different technologies to benefit from their strengths, it may be useless.
To allow for a more seamless transition, Gartner also introduces the use of DigitalOps Toolbox for some practical solutions that could be crucial to the goals of smart business process automation. The DigitalOps is a process framework for end-to-end stages of process automation that includes discovery, analysis, design, automation, monitoring, reviews, and evaluation.
For a more simple way to achieve this, Forbe also suggests selecting easy integration platforms and a considerate implementation partner with extensive experience in implementing hyperautomation.
Augment with AI and Machine Learning
Lastly, enterprise and technology businesses may now gradually integrate AI and Machine Learning with the proper DigitalOps tools into their business processes to accomplish their desired outcomes and long-term commercial value.
In this step, we will have to augment human capabilities to achieve end-to-end automated processes. Although AI technology has left a notable and lasting impression in different sectors including insurance, banking, retail, travel, media, healthcare, and more,… Augmenting with AI and Machine Learning in a business is tougher than it seems. Case management, contract management, automated help desk triage, and resolution are just a few of the business processes that are involved in the process of augmenting with AI and ML. For an organization that is unfamiliar with AI or has not yet implemented this technology advance, it could take much time and effort to research or start on your own. Thus, I will prefer the involvement of transformation or AI experts to demystify this process as well as ensure a seamless transition to Hyperautomation.
Shifting To Hyperautomation
“Hyperautomation is an unavoidable market state in which organizations must rapidly identify and automate all possible business processes.”, Gartner stated.
Since it incorporates numerous cutting-edge technologies to automate a wide variety of activities, Hyperautomation can be advantageous to enterprises in various industries. It has already a top-tier tech trend and will be in the spotlight more in the upcoming years.
To avoid falling behind as this approach’s popularity continues to soar, businesses should start taking preparation steps for their Hyperautomation journey. Because of the importance of combining AI and Machine Learning technologies in this process, I will also encourage you to start leveraging AI and ML for it not only to embrace Hyperautomation but also because of the numerous advantages it can bring to your business. If accelerating AI Adoption is already a win-win strategy, so what keeps you hesitant?
