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RPA: The Ride is Bumpy When Scaling Up
Robotic Process Automation (RPA) speeds up and makes workflows more efficient. Gartner says that RPA was the fastest-growing technology in 2018, and Forrester says that RPA software sales will reach $2.4 billion in 2020. but businesses often struggle when trying to scale a successful departmental RPA success to the enterprise.
Wayne Ariola, General Manager of Tricentis RPA, said that “RPA has enabled organizations to reimagine how people and applications can work together, delivering a fast ROI. However, numerous research studies have all shown that scaling an RPA initiative is more difficult and costly than expected.”
Gartner notes that “[Bots are] easy to build; however, they are not equivalent to humans, who can interpret and adapt as needed. Customers should not confuse in their minds the cost of an employee and the cost of a set of integration scripts.”
Issues with RPA technology identified by Forrester Consulting:
- Bots break. 45 percent of RPA systems break down on a weekly basis.
- Bots usually need to be scripted. RPA is typically unique to a business and often requires advanced programming skills to get up and running.
- Shadow IT. Many RPA applications are adopted by departments and run under cover from Enterprise IT, making it difficult for the business to know the total scale and true costs of RPA.
