AI in credit management: what actually works, and what's hype

What actually works

These applications are production-ready and measurable today.

• Document understanding: extracting invoice fields regardless of layout or language, including VAT and IBAN details.
• Quality control: flagging when amounts don't add up or a document looks edited.
• Multilingual communication: reminders that read naturally and stay legally correct in seven languages.
• Response classification: automatically sorting hundreds of incoming emails by intent.

What's still hype

Fully autonomous escalation, 'AI that convinces your debtor', and payment predictions based on too little historical data. That last one needs hundreds of cases per customer segment before it becomes reliable.

How to use AI responsibly

For each step in the process, define whether AI may decide, may propose, or may only summarise. Log every AI action in the case timeline so you can reconstruct afterwards who or what sent which message. Make sure processing stays within the EU. That's why every escalation step in Credimigo's Recover and Resolve phases requires human approval before anything is sent.

Frequently asked questions

Keep reading

• AI for finance
• Credit management
• Accounts receivable management