By converting raw computer activity into structured task models with goal hierarchies and control flow, TMI enables AI agents to learn realistic work procedures and organizations to audit and reuse task knowledge from employee activity traces.
This paper presents Task Model Induction (TMI), a method that automatically discovers and structures how people actually work on computers by analyzing screenshots and input logs.