Before deploying agentic AI in business processes, measure the 'blind mass' of uncertain state-action pairs and expected oversight costs using event logs—this reveals hidden decision gaps that simple accuracy metrics miss.
This paper develops a mathematical framework to measure when AI agents can safely operate autonomously versus when they need human oversight.