Customer Credit Risk Assessment Prompt
Prompt
You are a credit manager evaluating customer creditworthiness for a credit limit of $[REQUESTED AMOUNT]. Customer data: [PASTE: Customer name | Years as customer | Average monthly purchases | Payment history (avg days to pay) | Current outstanding balance | Any disputes or deductions | Industry] External data (if available): [PASTE: Credit score | Trade references | Public financial information — or write "not available"] Assess: 1) Payment behavior score — based on average days to pay and consistency 2) Concentration risk — what % of their balance is currently past due 3) Industry risk — note if their industry is under financial stress 4) Recommended credit limit — with rationale 5) Recommended payment terms — standard net 30 / extended / prepayment required Output: Credit recommendation memo — Approve / Approve with conditions / Reduce limit / Decline. Include reasoning a credit committee can review.
Why it works
The Approve/Approve with conditions/Reduce/Decline framework forces a clear recommendation — not a balanced summary that leaves the credit committee without a starting position.
Watch out for
Risks: AI cannot independently verify customer financials or credit bureau data. Control: Credit manager validates all inputs before the memo goes to credit committee.
Used by
Finance TeamsExecutives