Solutions / begin with the workflow

Find the boundary.
Then decide what to control.

The first useful step may be a conversation, a focused review or a technical pilot. Choose the work around the consequence you need to understand.

Scoping discussion

Action Boundary Workshop

Map where AI-generated work could affect a system, customer or decision. Identify the authority and review points that matter most.

Company-specific scope

Examine one workflow, its action routes and the controls currently separating a recommendation from execution.

Prototype evaluation

Agree a narrow action boundary and evidence requirements. Evaluate a controlled permission case and a refusal case.

A practical starting point

A generated message is not a send command. A passing test is not permission to deploy. A model recommendation is not authority to transfer money.

Choose one transition like these and make the decision owner, permitted scope and refusal conditions explicit.

Commercial scope, timing and pricing are agreed individually. No fixed delivery window is promised here.