Invoice late-payment predictor

What it works from

• Historical invoice records with late or on-time settlement outcomes
• Open-invoice records with customer names, amounts, invoice dates and due dates
• Payment terms and historical days to payment
• Customer segments and previous late-payment counts

What you get back

• Open-invoice late-payment likelihood assessments
• Explanations of the factors behind each risk assessment
• Prioritised view of higher-risk invoices and customers
• Debtor days projection based on continuing payment patterns behaviour patterns continue

Why this is expensive by hand

Late-payment exposure is difficult to judge from outstanding balances alone. Reviewing cash-flow exposure is the typical trigger — highlights open invoices most likely to settle late and explains the payment-history factors behind each assessment. Gives finance teams a clearer basis for discussing potential cash shortfalls. Done properly it is defensible; done at pace it becomes a judgement call nobody can retrace. And "properly" usually means 1–2 weeks of manual work.

How this Skill produces it

As a Skill, the work is already sequenced. You bring the evidence, and the run produces open-invoice late-payment likelihood assessments plus explanations of the factors behind each risk assessment. The judgement is built in — how items are broken up, what standard they are held to, and where the run stops for a human review. Net effect: 1–2 weeks down to ~15 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.