Scenario 4 · Credit & order release

Was this order right to block?

Credit rules protect the business — but rules set years ago can stop profitable orders from reliable customers. Check a fictional block against the policy, then compare four ways to handle the order, with revenue, margin, exposure and expected loss kept apart.

Live what-ifFictional dataVerify → What-if → Decide
Step 1 · Verify

The order was blocked. Did the block follow the policy?

Five checks against the fictional credit file and credit policy. A decision can follow the rules and still deserve a second look.

Step 2 · What-if

Four ways to handle the order. Four numbers, kept apart.

Change the assumptions and watch revenue, margin, exposure and expected loss move — separately. None of them is netted into a single “best” figure.

Found in evidence checked against documents Your assumption what you choose Illustrative what-if result arithmetic, not a forecast
Step 3 · Decide

Opportunity, risk, relationship. The credit manager weighs them.

The figures follow your assumptions above. Relationship effects are fictional judgements for illustration.

Fictional alternativeCommercial opportunityCredit riskCustomer relationshipApproval needed

Illustrative what-if results Margin and expected loss are different kinds of numbers and are not netted. No alternative is shown as optimal.

How a recommendation could read

If a limit review confirms the customer’s payment record, then releasing half now (C) or the full order against 50% prepayment (D) would keep the excess within the credit manager’s authority while the limit itself is reviewed. Whether full release (B) is acceptable is a credit committee decision.

This fictional example does not show that any option is best. Expected loss is an average, not a prediction for this customer. Every release outside the limit needs approval at the level the policy requires.

Keeping the numbers honest

  • Revenue ≠ margin ≠ profit. Margin is a separate assumption; overheads are not included.
  • Released order ≠ collected cash.
  • Exposure ≠ expected loss. Expected loss needs explicit default and loss assumptions.
  • Expected loss ≠ what will happen. It is an average over many similar decisions.
  • Within policy ≠ risk-free.
Evidence needed to validate
  • Credit limits and their change history
  • Exposure: open receivables and open orders
  • Block and release logs with approvers
  • Payment history, overdue items and write-offs
  • Margins per product or customer
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Is this decision worth checking in your organisation?

A 20-minute conversation is enough to find out whether it is worth a closer look.