Robotic Process Automation (RPA) has quickly evolved
from automating simple rule-based tasks. Nowadays, RPA is required
to mimic more sophisticated human tasks, thus implying its combina tion with Artificial Intelligence (AI) technology, i.e., the so-called intelli gent RPA. Putting together RPA with AI leads to a challenging scenario
since (1) it involves professionals from both fields who typically have
different skills and backgrounds, and (2) AI models tend to degrade
over time which affects the performance of the overall solution. This
paper describes the AIRPA project, which addresses these challenges by
proposing a software architecture that enables (1) the abstraction of the
robot development from the AI development and (2) the monitor, con trol, and maintain intelligent RPA developments to ensure its quality
and performance over time. The project has been conducted in the Serv inform context, a Spanish consultancy firm, and the proposed prototype
has been validated with reality settings. The initial experiences yield
promising results in reducing AHT (Average Handle Time) in processes
where AIRPA deployed cognitive robots, which encourages exploring the
support of intelligent RPA development.Ministerio de Ciencia, Innovación y Universidades PID2019-105455GB-C31Centro para el Desarrollo Tecnológico Industrial EXP00118029/IDI-20190524Centro para el Desarrollo Tecnológico Industrial P011-19/E0
