According to a Gartner research from 2020, Hyperautomation was one of the top ten key technology developments that year, with a significant potential to alter businesses and provide major opportunities in the following decade or two, but then the pandemic occurred, and everything got postponed.
It is described as "the application of advanced technologies, like Artificial Intelligence (AI) and Machine Learning (ML), to increasingly automate processes and augment humans, according to the worldwide research and consultancy business.
Hyperautomation involves the variety of instruments that can be automated and the level of automation (i.e., search, analyze, construct, automate, measure, monitor, and reassess). The application of automation technology to enhance and expand business capabilities is known as hyperautomation.
What is Hyper in Hyperautomation?
The term "Hyper '' in Hyperautomation refers to emphasizing the scale and speed of automation that is possible using these advanced technologies. Hyperautomation is a more refined and comprehensive approach to automation than traditional automation methods, which typically focus on automating individual tasks or processes.
The term also alludes to the premise that by leveraging these contemporary innovations, this method goes beyond typical automation to reach even greater efficiency, speed, and accuracy.
This entails analyzing data, identifying trends, and making judgments using AI and ML algorithms. It also entails using RPA to automate repetitive jobs and other process automation tools to improve workflows and optimize corporate processes. This can assist organizations in achieving faster processing times, more accuracy, and lower costs by merging various technologies.
Key Components of Hyperautomation
Hyperautomation employs a combination of modern technologies to circumvent the constraints of previous approaches to automating tasks, which usually relied on a single tool. This enables firms to look beyond specific procedures to identify the perfect solutions to automate practically every scalable and time-consuming business operation.
The following are essential components of Hyperautomation that work together to improve business automation prospects.
Process Discovery: This process involves identifying and mapping out the existing business processes within an organization to understand how work gets done, which steps can be automated, and where optimization opportunities exist.
Robotics Process Automation (RPA): RPA uses software robots or bots to automate repetitive, rule-based tasks previously performed by humans. RPA can automate data entry, form filling, and report generation tasks.
Artificial Intelligence (AI): Artificial intelligence (AI) is a collection of technologies that can be used to automate tasks that call for cognitive abilities, such as decision-making, problem-solving, and analysis. Examples of these technologies include machine learning, natural language processing, and computer vision.
Process Orchestration: This phase entails integrating multiple technologies such as RPA, AI, and other advanced tools to automate end-to-end business processes. Process orchestration ensures that all the different technology components work together seamlessly.
Analytics and Insights: Hyperautomation generates vast amounts of data that can be analyzed to identify patterns, trends, and areas for improvement. Analytics and insights can be used to optimize business processes, improve decision-making, and drive innovation.
Low-code/No-code Platforms: These platforms allow business users to create and deploy automation solutions without requiring extensive coding or IT expertise. Low-code/no-code platforms democratize automation and enable organizations to build and deploy automation solutions at scale quickly.
Hyperautomation enables optimal business potential
To successfully integrate Hyperautomation in an organization, significant planning is required. Business owners must understand how various digital technologies will fit into their current operational workflows and what roles they might play in restructuring the organization.
Businesses must understand the role of automation in the organization to make the most of these advanced technologies. Besides, it will not serve the purpose if they try to automate a broken business process, which could also lead to severe consequences.
Another critical thing to consider when implementing Hyperautomation is business integration. Business owners should identify whether the various automation technologies would work together seamlessly to deliver the best scalability and functionality. This also requires careful planning and understanding of Business Process Management (BPM) concepts to improve and implement Hyperautomation.
Ways Hyperautomation will transform processes in the Future
Minimize the efficiency debt of the business: The efficiency debt of an organization is equivalent to its technical debt. It is the collection of measures that a company should have completed to attain operational effectiveness. This could be related to, among other things, personnel training, process design, a lack of collaboration, data management, and security. Enterprises can use hyperautomation to coordinate and automate operations more efficiently and create an ecosystem that addresses and reduces efficiency debt.
Establish a central, authoritative source of information: Modern technologies have made the hybrid cloud the new norm; as a result, system integration is crucial for digital transformation. Fortunately, Hyperautomation is predicated on the idea that it entails the integration of software and processes. As a result, there are smooth exchanges between on-premises hardware and data storage. Therefore, even in a highly diverse environment, such an architecture makes it possible for systems to connect and communicate easily, improving data accessibility through consolidation.
Accelerate innovation: If the recent epidemic has taught businesses anything, it must be the value of adaptability and ingenuity. The organizations that triumphed during this period promptly altered their plans, prioritized their people, and welcomed new technologies. In this situation, Hyperautomation is the primary engine of digital transformation. Low-code platforms enable your company to develop and enhance processes, replace outdated systems without worrying about data loss, and deliver new apps in weeks.
Better decisions and improved results: Hyperautomation raises the standard of your output regardless of your industry. An intuitive user interface with drag-and-drop components offered by low-code and AI enables the quick creation of apps, procedures, and automation. It makes sure the implementation process is error-free. Any business process may have room for improvement, and you can change the workflow to get better results.
Furthermore, Hyperautomation provides excellent analytics tools that may be used to gather information and comprehend more prominent organizational trends. Business executives can determine what is working and what is not so they may adjust as needed.
In conclusion
Hyperautomation aims to create a fully automated and intelligent environment where machines and humans work together seamlessly to achieve business goals. This necessitates a comprehensive strategy that takes into account the entire procedure, the relevant technologies, and the users of those tools.
How can Neebal help?
With Hyperautomation, Neebal automated several processes and provided detailed insights into sales forecasts of one of the leading agrochemical companies, resulting in an 80% reduction in the time taken to achieve similar results.
Are you ready to implement Hyperautomation for your business? Schedule a call with our experts to get your digital transformation journey started!