Robotic Process Automation (RPA) promises to transform the cost, efficiency and quality of executing many of processes that businesses rely on people to perform. The EY report, Get ready for robots, cited observations of what 30 to 50% failure rates in RPA deployment.
But with the hype surrounding RPA and its benefits continue, it is also important to have quantifiable metrics or KPIs from which to benchmark an RPA project, possible at different stages of implementation.
Nolan Greene, senior product marketing manager, Robotic Automation and Workforce Intelligence at Pegasystems, warns: “In our experience, we’ve found that few enterprises get automation to scale and many regret wasting 1 to 2 years, or even more, attempting to realize the big ROIs promised by RPA vendors. Pega’s survey found that only 39% of RPA bots are deployed on schedule.”
Automation has become a key element of many digital transformation initiatives. Any delay in RPA deployment can delay broader transformation efforts, even further diminishing the anticipated returns.
FutureCIO spoke to Vinayak Mohan, associate director, Cognitive Automation and AI, KPMG China, for his view on how CIOs should approach measuring the return of any RPA project.
Watch the video to hear more of what he has to say about RPA projects done the right way.