Give the company website and, optionally, the workflow you are considering automating. The service reads the public site, draws that workflow, and finds where a person still stands in it. It names the actions that carry consequence and runs one of them against the execution boundary.
The service reads the public site and works out how the business runs.
The company, and the workflow with who does each step today.
Company
Workflow
Filled, the machine acts. Hollow, a person does it. Half, both.
One question at a time. The service asks what the person still in the chain is there to catch.
The places where the machine already does the work and a person still stands at the end of it.
Each row is one action, with the boundary, what could change, the readiness the service computed, and why a person is still in the loop.
The workflow again, with the boundary on the step the service named.
Workflow
Filled, the machine acts. Hollow, a person does it. Half, both.
This is the point where the AI permission has to survive all the way to execution.
What we could identify, with our basis beside it, then the same boundary problem running for real.
The same boundary problem, running for real.
The demonstration runs the boundary on a supplier payment. See the demonstration.
The finding as one card, with the readiness rather than a score.