Automation has increasingly become a common term in today's world. The next step in this rapidly improving technology is the collaborative approach known as hyper-automation. AI, machine learning, robotics, packaged software, and business management tools are some of the technologies that are integrated with it.
Hyperautomation is primarily a business drive to automate as many processes as possible through interdisciplinary processes. Coined by the IT firm Gartner in 2017, it is becoming the foundation of digital transformation at the enterprise level. Enterprise automation can be enhanced, integrated, and optimised through hyper-automation. This is a stark contrast to the past, when the same process worked only for 13% of businesses, as studied by Gartner. The lack of utility was attributed to the inability to scale these technologies due to costs and other reasons.
The process starts with the careful study of the organisation and all tasks, both manual and computer-aided. Each task is analysed to see how it can be automated and which technology can be applied. Technologies like Robotic Process Automation (RPA), low code/no-code tools, and iPaas help speed up automation as well as reduce the effort involved.
The use of hyper-automation can save companies money, boost productivity, and enhance efficiency, as well as maximise the value of the data collected and generated through digital processes. Using that data, organisations can make better and faster business decisions. In the long run, this makes processes more efficient and profitable. It can also create a digital twin of the organisation if a significant portion of operations are automated, using software that can simulate or even predict how market fluctuations can affect the organization.
Hyperautomation technologies can either be integrated with existing technology or they can replace older technology hierarchies. One such tool is the Blueprints Business Transformation Platform, a cloud-based solution that enables hyper-automation by designing bots 2x faster and automating them 3x faster than traditional methods. With their platform, one can manage their whole RPA estate with global visibility and slide into the middle of their hyper-automation ecosystem. Automation is captured, designed, optimized, prioritized, and managed in blueprint by all stakeholders.
In comparison to approaches that rely on only one automation tool, hyper-automation can overcome some of the limitations of single automation tools. The future of hyper-automation looks bright and shows no signs of slowing down anytime soon.
