Process mapping with AI. You explain the work out loud. The AI captures it, structures it, and reflects it back as a map you can act on.
The operator walks through the work the way they actually do it, talking through clicks, exceptions, workarounds, the spreadsheet on the second monitor, the call to the person who "just knows." The AI listens, transcribes, and assembles the steps into a structured process map. A human expert in the loop keeps the model honest, pressing on gaps, sharpening terminology, and pulling the implicit out into the open.
The result is a faithful picture of the work as it is, not as the org chart says it should be.
Traditional process discovery asks people to describe their work in the abstract, in a meeting room, under observation, often performing a tidier version of the job than the one they actually do. The output is a deck nobody trusts and a spreadsheet nobody updates.
Think-aloud capture flips the posture:
A process map you can act on. Each step is tagged with the kind of work it represents and what could be done about it:
The map is the artifact. The conversation it enables is the point. It gives leadership and operators a shared picture of where the work lives.
Pick a process nobody's written down. We'll map it.