Skan AI

Skan AI is a process and task mining platform, marketed as building a "Context Graph of Work," that observes how enterprise employees actually complete their jobs across desktop, web, mainframe, legacy and office applications. Rather than extracting event logs from ERP or system-of-record APIs the way traditional process mining tools do, Skan deploys a lightweight desktop agent that captures clicks, application switches and handoffs directly at the UI layer, so it can profile work in systems that have no accessible event log, including legacy and mainframe screens.

The captured signals feed three linked products: Process Intelligence, which turns raw activity into process maps, variant analysis, exception paths and time-allocation metrics; Blueprint, which classifies observed work into a "Nature of Work" framework and produces a phased roadmap for where to automate, augment or keep humans in the loop; and Agents, which builds governed AI agents from "Agent Operating Procedures" derived from the observed work, including its exceptions and judgment calls, running on a deterministic workflow engine with human-in-the-loop approval points. A related Engineering Intelligence product applies the same observation model to software delivery teams.

Skan is aimed at large, regulated enterprises, particularly financial services, insurance and healthcare, where it reports customers among the top US banks and insurers. The company states it has processed 25 billion events, mapped 500+ processes, and delivered over $500M in customer value across 100+ enterprise deployments.