Abstract:
Advancement of the software industry and artificial intelligence made the way to Robotic
Process Automation (RPA). Business processes with structured, rule-based and repetitive tasks
that produce definitive outputs are candidates for automation using RPA. RPA improves
accuracy and productivity while reducing cost. However, still the industry fails to identify a
suitable RPA delivery approach and 30% - 50% of the RPA projects fail due to unmatched
delivery approach. In this paper, we propose an RPA delivery approach named R(P)Aban.
R(P)Aban is derived based on an extensive study of RPA implementations by a multinational,
service-based organization. We identified the best fit RPA delivery approaches based on a set
of interviews with the RPA implementation teams. The proposed framework could be used to
eliminate RPA project failures, as well as improve the project performance while reducing the
cost.
