In October of 2019, Gartner listed hyper-automation at the top of itsTop 10 Strategic Technology Trends for 2020 list. According to Gartner, hyper-automation “involves a combination of tools, including robotic process automation (RPA), intelligent business [process] management software (iBPMS) and AI, with a goal of increasing AI-driven decision making.”Several months later in December of 2019,Gartner released a report that highlighted organizations’ failures to achieve scale in their automation efforts. These shortcomings are primarily attributable to reliance on too few automation technologies and/or failure to integrate them.
“Enterprise architecture and technology innovation leaders lack a defined strategy to scale automation with tactical and strategic goals. They must deliver end-to-end automation beyond RPA by combining complementary technologies to augment business processes.”
Many organizations have been successful at automating business processes through a single digital technology like robotic process automation (RPA). RPA provides organizations with a quick and cost-effective way to automate routine business processes.But as Gartner points out, “processes are not always simple, routine, repetitive and stable. They may be long running, and they often involve intelligent automated decision making and optimization. The real challenge – to scale beyond the initial few low-hanging fruits of routine processes – cannot be solved by a single tool or with siloed strategies.” For that, organizations must work towards achievinghyper-automation.
