Hyper automation is an amalgamation of two super technologies of the era Robotic Process Automation (RPA) and Machine Learning. Hyper automation is implied to have a major macro-economic implication on the market. Top Gear companies need to gear up for this convergence in demographic shifts. For now, companies such as Wipro and Infosys are experimenting with this technology. Hyperautomation not only refers to the tasks and processes that can be automated but also the level of automation. It is often referred to as the next major phase of digital transformation.

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 helps organizations to provide superior customer experiences while reducing operational costs and boosting profitability

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.

The components of hyper-automation

Several automation technologies comprise hyper-automation. These include:

  •    Robotic process automation (RPA)
  •    Business process management (BPM)
  •  Advanced analytics

Robotic process automation

Robotic process automation leverages technology like software bots to replicate repetitive human tasks. RPA typically works for rule-based tasks, has defined inputs and outputs, is repeatable, and occurs often. One limitation of RPA is that it is limited to structured data to complete tasks. Thus, RPA does not have the ability to understand the context or learn, nor can it access and make sense of unstructured data sources like images. 

Business process management

BPM is one of the most important components of hyper-automation. In many ways, it is the foundation on which any successful automation strategy is built, monitored, and improved. Introducing different digital tools into business processes, especially for those organizations new to automation, can be challenging.

Organizations must create new workflows and test them before deploying them to avoid breakdowns that can have disastrous consequences for their businesses. Business process management software is a powerful and simple tool that can be used to manage an organization’s hyper-automation strategies and initiatives.

Advanced analytics

Hyperautomation offers organizations powerful analytical tools and capabilities. Hyperautomation overcomes the data limitations of relying on a single automation tool like RPA. While RPA is limited to structured data, hyper-automation technologies can handle both structured and unstructured data. This helps organizations to access and analyze data that has traditionally been inaccessible to gain important organizational level insights.

Hyperautomation can also convert unstructured data into structured data for use with RPA technologies. This relationship is an illustration of how various digital tools work together seamlessly to offer unmatched efficiency.

Benefits of hyper-automation

Hyperautomation offers many benefits and potentially unlimited upside. Some major benefits of hyper-automation include: 

  •    Flexibility – Since hyper-automation relies on a multitude of automation technologies, organizations can move past the limited benefits of a single digital technology. This helps organizations to achieve scale and flexibility in operations.
  •    Improved employee productivity – By automating time-consuming tasks, employees can get more done with fewer resources and services more valuable roles in organizations.
  •    Integration – With hyper-automation, organizations can integrate digital technologies across their processes and legacy systems. Stakeholders have better access to data and can communicate seamlessly throughout the organization.
  •    Improved ROI – Hyperautomation boosts revenue and reduces costs. With powerful analytical tools and capabilities, organizations can optimize the deployment of their resources.
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