Skan.AI is a cognitive process discovery engine that leverages computer vision and machine intelligence to help enterprises map, model, and manage business processes. Skan’s innovative technology observes ad hoc work at scale and from the observed digital traces of human work synthesizes and creates a process metamodels, uncovering hidden process variants, and unveiling the invisible enterprise. The traditional methods of business process mapping involved business analysts conducting interviews and shadowing process participants and recording the actions into a few boxes and arrows. The standard business process maps just scratch the surface, portraying a happy path alongside one or two exceptions paths. In reality, the enterprise operations are akin to a spider web with intricate patterns, hidden paths, and nuances – all of which are a part of the invisible enterprise. Skan’s virtual process agents – a non-intrusive and lightweight probe on agent desktops or virtual machines - observes human work at scale capturing essential keystrokes and system interactions. The observability of work at a vast scale and high precision is the hallmark of the Skan’s technology.