- Auto-release rules
- Which orders may release without a person, up to what value, and which checks all have to pass first. Written down, versioned, and recorded against every release so the rule can be tightened or widened on evidence rather than on feeling.
- Customer matching confidence
- How certain a match has to be before an order is attached to an account, and what happens below that line. The demo above stops on two candidate accounts because they carry different prices and different credit limits, and that is the rule doing its job.
- Commercial decisions Kept human
- A price above what the customer wrote down, a substitution, a credit override or an allocation between accounts. These stay with a person on every order, because each one is a conversation the business will have to have.
- System of record
- Which system owns the customer, which owns the price and which owns the stock position, decided before anything is connected. Two systems that both believe they own the customer is the most common cause of a workflow producing confident wrong answers.
- Audit trail
- What arrived, how it was read, which checks ran, what failed, which rule released it and who approved anything that was overridden.
- Escalation path
- What happens when a document cannot be read, a customer cannot be matched or a check has no answer. A workflow with no escalation path escalates to whoever notices.
What counts as working. Accepted output against your own baseline is the
proof. The baseline gets taken before the build exists, and afterwards the same work is
measured against it with the review burden counted openly, because a system that
processes plenty and has to be corrected twice has saved nothing.
How we measure AI work sets out the method.