Software Robotics, or Robotic Process Automation (RPA) promises to transform the cost, efficiency and quality of executing many of the back office and customer-facing processes that businesses rely on people to perform.
That’s the good news. But RPA is not without its challenges. We have delivered RPA projects across 20 countries and are often called upon to help companies when their first attempt failed. While RPA can transform the economics and service level of current manual operations, we have seen as many as 30 to 50% of initial RPA projects fail.
This isn’t a reflection of the technology; there are many successful deployments. But there are some common mistakes that will often prevent an organization from delivering on the promise of RPA. As one of the largest RPA consultancies delivering programs globally to financial services organisations, EY is often called in to get RPA programs back on track.
This is the first in a series of papers based on our practical experience and the lessons we have learned. In this paper, we examine the common issues that we see clients facing as they move forward with robotics projects.
Subsequent papers will define robotics and explore its potential, how best to structure RPA programs and advanced robotics.