No matter how effective an application is, it can fail without strong acceptance.
According to the Workato State of Business Technology Report , almost four out of five business technology workers are free to let business users create the automation themselves. The company commissioned 534 IT and business technology professionals on behalf of Atomik Research.
According to the report, more than half of business technology professionals are frustrated by the speed with which they can deliver results to other business lines. Despite the progress made in introducing automation, more than a third of business technology workers say automation is slow or not supported at all by their employees, which is the biggest challenge in their work area.
The efficiency potential of automation is tied to corporate ownership: no matter how efficient an application may be, it can fail without strong acceptance.
Low-code platforms can provide an entry point for business users to automate certain tasks. However, the majority of low-code users still work in the IT environment. Creatio reports that two out of three civilian developers have IT positions.
When solving a corporate problem with automation, the technical perspective is “just the beginning,” the actual acceptance and integration is much more difficult, said Nitzan Mekel-Bobrov, eBay AI CEO. Acceptance is not uniform within the business user subgroup. Workato reports that employees of certain teams, including business analysts, business operations, and customer success teams, automated their own processes the most. According to Mekel-Bobrov, the difficulty of introducing automation on a large scale is due in part to resistance to change and how difficult it is to persuade people to do their jobs differently.
“But there is also a lot of coordination. There are a lot of teams that are typically involved in a workflow, so there is a lot of consultation with the parties, who all have to be on board and work in a coordinated way,” the expert said.
H & M’s strategy to increase acceptance of automation was, for example, to create a library of reusable machine learning components and to move from a case-by-case approach to a more democratic model where technology becomes available throughout the organization.
The mystery of the introduction of artificial intelligence is widespread, yet few companies have managed to move technology out of their own box. Cognizant reports that only one in five companies falls into the “AI leader” category. The company has identified leaders in the field of AI by assessing the importance of technology to business processes as well as the number of areas in which it is used.