In recent past, automating workflows (outside of IT) have generally been executed with simpler, task-based processes using Robotic Process Automation (RPA) software. RPA, however, is only one method of automation in a sea of options. Hyperautomation is broader than RPA and occurs much more rapidly. It includes tools used in automation from end-to-end (e.g., intelligent process mining, RPA, application-specific workflow automation tools, artificial intelligence, machine learning) and results in a more sophisticated level of automation. A key principal is avoiding a scenario where automation leads to technical or process debt and missed opportunities for ROI.
Hyperautomation also means automation used in the process of automating business processes. With hyperautomation, all viable business processes are quickly identified (hence the "hyper") and automated by leveraging key emerging technologies (e.g., automated process mining and machine learning which learns human processes and provides the data required to create automation scripts). Using automation in the process of automating a task is an important trend: traditional RPA still requires a fair amount of prep work as an organization must manually identify target processes, prioritize, optimize, and document processes. The automation of this prep work enables the dynamic generation of scripts, and rapidly accelerates the automation journey and ROI from the program.
Since there are so many methods of automating, and since hyperautomation entails more sophisticated automations, a siloed automation program without governance will fail to reach critical mass and achieve maximum ROI. Therefore, a Center of Excellence (CoE) is necessary for supporting a hyperautomation strategy that will enable all of these great pieces of technology to work together and to successfully unlock the maximum value for the investment. Objectives for the CoE include the following:
Create a comprehensive view of the automation platform,
manage an integrated automation strategy to avoid use in silos and technical debt,
nimbly manage governance and security,
continuously monitor and increase automation ROI,
manage key organizational stakeholders, and
keep the project pipeline full.
Be sure to read our blog about a company that scaled to 200 bots:
"Customer Conversation: Scaling Robotic Process Automation in a Global Consulting Firm."
As we move beyond the automation of basic tasks, hyperautomation will lead to AI-driven decision making as RPA matures (we like to call it “Intelligent Automation”). Gartner predicts that by 2022 application integrations delivered with robotic process automation (RPA) will grow by 40% year over year, by 2023 50% of all Robotic Process Automation scripts will be dynamically generated and by 2024 organizations will lower their operational costs by 30% through a combination of hyperautomation and redesigned technologies . With these statistics it's no wonder that hyperautomation was identified as trend number one on Gartner’s list of Top 10 Strategic Technology Trends for 2020.
In conclusion, organizations that fail to take notice of hyperautomation and start taking steps to implement strategies now might quickly find themselves hyper-behind.