The term “hyperautomation” first appeared in October 2019, and it easily grabbed the top spot on Gartner’s Top 10 Strategic Technology Trends that year.
Hyperautomation refers to the utilization of highly-advanced technologies, such as artificial intelligence (AI), robotic process automation (RPA), and machine learning (ML) to accomplish tasks instead of handing it to humans. It is not only limited to processes and tasks, but to the level of automation as a whole.
While it is dubbed as a major digital transformation, industry experts assure that it is not meant to completely replace humans. According to innovative business experts at Max Funding,” Through automation, humans are unconstrained from low-value and repetitive tasks to focus on those that are more important to their organisation. Automation and human involvement can together assist organizations in providing superior customer experiences while reducing operating costs and increasing profitability.”
The key components of hyperautomation are:
Robotic Process Automation (RPA)
RPA works like software bots that replicate repetitive tasks. It usually functions for tasks with distinct inputs and outputs, rule-based, or simply repeatable. The major limitation of RPA is probably its inability to understand and interpret context or anything out of the structure, such as images.
Business Process Management
It allows a smooth transition from manual to automated processes so businesses can carry on with most of their tasks without major disruptions.
Artificial Intelligence (AI) and Machine Learning (ML)
AI is a process by which computers simulate the intelligence of humans. It can be used to accomplish specific tasks by gathering data, instead of as it is programmed to do so. Some of the most common examples are Alexa and Siri.The major limitation of RPA is probably its inability to understand and interpret context or anything out of the structure, such as images.
ML is a branch of AI that routinely improves computer systems using algorithms. Many organisations identify data patterns using controlled and uncontrolled algorithms. Controlled algorithms create their predictions using specific inputs and outputs. Uncontrolled algorithms use structured data to developed insights from recognized patterns.
Advanced Analytics
Organisations can access and analyse data that are typically inaccessible to create valuable insights using advanced analytical tools. These tools take off the RPA limitations by reading through structured and unstructured data.
Benefits of Hyperautomation
Hyperautomation may become highly profitable if used correctly and supervised by experts. Here are some of its benefits:
Flexibility. Because hyperautomation uses multiple technologies, your organisation can surpass the limited advantages of traditional processes. This allows your organisation to scale operations with ease.
Improved Productivity. By automating low-value tasks, employees can focus on more valuable tasks using fewer resources.
Integration. By integrating digital technologies into your processes and systems, the management, stakeholders, and employees can communicate and access data in a much seamless manner.
Increased ROI. Organisations can use to collect, analyse, and distribute data faster, allowing them to make timely decisions that can convert to increased returns.
Controlled algorithms create their predictions using specific inputs and outputs. Uncontrolled algorithms use structured data to developed insights from recognized patterns.
Since no single machine can replace humans, hyperautomation combines multiple tools to accomplish more. Many organisations that have decided to invest in hyperautomation are now enjoying incredible benefits.
