TEKnically Speaking – Automation, Part 4
By Heather Maitre and Tyler Teschon
Automating workflows (outside of IT) have generally been executed with simpler, task-based processes using Robotic Process Automation (RPA) software. 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 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 that learns human processes and provides data required to create automation scripts). Using automation in automating a task is an important trend: traditional RPA still requires a fair amount of prep work as an organization must manually identify, prioritize, optimize, and document processes. The automation of this prep work enables the dynamic generation of scripts, and rapidly accelerates a program’s automation journey and ROI.
As we move beyond basic task automation , 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 number one on Gartner’s list of Top 10 Strategic Technology Trends for 2020.
The bottom line: organizations that fail to take notice of hyperautomation and start taking steps to implement strategies now might quickly find themselves hyper-behind.
TEKnically Speaking, Automation Series:
- Automation, Part 1: Where Should You Start with Data Center Automation?
- Automation, Part 2: Why a Proactive Approach Matters in DevOps Automation
- Automation, Part 3: The Case for Security Automation
- Automation, Part 4: Hyperautomation Basics
1 Top 10 Strategic Technology Trends for 2020
2 Predicts 2020: RPA Renaissance Driven by Morphing Offerings and Zeal for Operational Excellence