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Payt Software (Groningen, NL)Payt
Dutch debtor management software from Groningen-based Payt that automates the entire process from invoicing to debt collection. The AI-driven 'Payment Journeys' predict each customer's payment behaviour and automatically adjust the tone and timing of reminders. On average, invoices are paid 30-50% faster and 80% of repetitive tasks are automated.

- Provider based in the Netherlands
- Publishes certification/GDPR safeguards
Last checked: 5 November 2026 · How we check
Is this your tool? Fill in missing detailsWhat it does
Automatic invoice follow-up
Customer portal with dialogue
Connects with Twinfield, Xero, SAP and othersComparable in debt collection & receivables management
Schuldhulpjefree for residents
10FORIT EEZYCOMon request
Aryza Navigateon request
Opheloson request
POM Collecton request
Praclox OthoMaticon requestPayt compared
AI Payment Journeys (predictive behaviour model); Dutch company (Groningen); GDPR-compliant; data at AWS in the EEA, other sub-processors largely in the EEA (according to the provider); data processing agreement available (according to the provider); ISO 27001, audited by LRQA (according to the provider). Many tools build on a large model from, for example, OpenAI or Anthropic. If in doubt, ask for the data processing agreement: it sets out where your data goes.
Questions about Payt
- Which AI model does Payt use?
- The maker of Payt does not publish which AI model sits underneath. AI Payment Journeys (predictive behaviour model); Dutch company (Groningen); GDPR-compliant; data at AWS in the EEA, other sub-processors largely in the EEA (according to the provider); data processing agreement available (according to the provider); ISO 27001, audited by LRQA (according to the provider).
- How much does Payt cost?
- on request; 14-day free trial period. Check the current price on the provider's website; prices change often.
- Who is Payt for?
- Payt is aimed at collections & debtor management, financial advice. It fits work such as estimating collection chances per case with predictive AI, automating debtor communication (email, SMS, WhatsApp, voice), and case and file management for judicial and out-of-court collection.
- What should I look out for with AI in debt collection & receivables management?
- Debtors can be vulnerable people; automated decisions about debt recovery fall under the AI Act (high risk) and require human oversight. Debtors' personal data is squarely personal data under the GDPR, only use systems with a data processing agreement and EU hosting. Automated calling and sending WhatsApp messages for commercial collection requires consent or a legitimate interest under the Telecommunications Act. BFT supervision requires a full audit trail of all automated actions per case.
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