Do's and Don'ts for Human and Digital Worker Integration
This provides guidance for business leaders on human-AI team integration, but it is incremental as it builds on existing RPA concepts without introducing new methods or data.
The paper tackles the problem of integrating intelligent automation into business processes by arguing for a broader evaluation framework that includes multiple autonomy levels and metrics beyond productivity, rather than just comparing human and robotic labor costs.
Robotic process automation (RPA) and its next evolutionary stage, intelligent process automation, promise to drive improvements in efficiencies and process outcomes. However, how can business leaders evaluate how to integrate intelligent automation into business processes? What is an appropriate division of labor between humans and machines? How should combined human-AI teams be evaluated? For RPA, often the human labor cost and the robotic labor cost are directly compared to make an automation decision. In this position paper, we argue for a broader view that incorporates the potential for multiple levels of autonomy and human involvement, as well as a wider range of metrics beyond productivity when integrating digital workers into a business process