Evaluation guide
Evaluate the operation first.
A production review starts with the work the business wants to move, then tests the boundary, systems, ownership, and evidence around it.
The production review
Start with four anchors.
A useful review keeps the operating question clear before it moves into product, interface, or model preference.
- 01
Work
Name the request, intended outcome, and the point where work should stop.
- 02
Boundary
Define what the operation may collect, decide, retrieve, update, route, or refuse.
- 03
Owner
Assign the person or team that receives exceptions and owns the next action.
- 04
Evidence
Decide what must remain reviewable after an action, stop, or handoff.
What to review
Test the controls around the work.
These questions turn a promising AI experience into a production evaluation. The exact answers remain specific to the operation and its scope.
Review areas
- 01 / Required context and rules
Can the operation tell when it has enough to move?
Review the facts, documents, consent, policy, and approval conditions that apply before work continues.
- 02 / Systems and access
Are the permitted actions explicit?
Review the source systems, available actions, and scope that make the next move possible.
- 03 / Human handoff
Does a person inherit a useful next step?
Review the exception triggers, destination, context, and ownership when automation must stop.
- 04 / Evidence and measurement
Can the business inspect the outcome?
Review the record of the request, applicable control, action, owner, and result, plus the measure that matters.
Proof moment
Watch the boundary operate.
A proof moment is more useful than a generic feature claim when it shows the operation check for a required detail, apply a rule, use an approved system, hand work to a person, or preserve evidence.
See an operation pause rather than guess before the next business step.
See proof moment →Continue the review