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More control and less work. Even in your industry.
Fast and secure invoice processing for every organisation.
Fast and secure invoice processing for every organisation
The possibilities of our platform
In this article, Sander Kamstra – Managing Director at Payt – explains how we are actively integrating Artificial Intelligence (AI) into our credit management software. As the labour market continues to tighten and business processes must become faster and smarter, we believe AI will play a crucial role. Not as a replacement for personal interaction, but as a powerful support tool to help businesses work more efficiently, get paid more quickly, and provide better service.
Table of contents:
At Payt, we have been actively experimenting with artificial intelligence (AI) for several years. But before diving into how we apply it, let’s first take a step back and share our vision for the future of credit management combined with AI.
Imagine an AI worker – let’s call him Payter – who, in the near future, operates as the smartest employee you could wish for. With flawless, learnable communication skills and no limits to what you can teach him. Payter thinks faster than we do, works tirelessly without breaks, and never falls ill.
The latest generation of AI workers can even pursue goals independently and learn how best to achieve them. That makes AI incredibly powerful, but also vulnerable: if AI makes a mistake, it can do so just as convincingly as when it gets things right. This phenomenon is known as “hallucination.” That’s why a strong feedback loop – where AI continually learns and is adjusted – is crucial to ensure reliable results.
At the same time, we are all witnessing the growing pressure on the labour market. The workforce for the next 25 years has already been born, meaning the number of working people will continue to decline. This presents a major challenge. And let’s be honest: very few people genuinely enjoy chasing unpaid invoices. That’s exactly where AI offers an excellent solution.
In this article, I will show you how Payt is already using AI today to make credit management smarter, faster, and more personal.
When it comes to predicting when an invoice is likely to be paid, AI excels. Processing vast amounts of data and building a reliable forecasting model is second nature to AI. And the best part? The model keeps getting smarter: as new data flows in, AI continuously trains and improves itself.
These insights can be used immediately to set up intelligent automations. For example, if the Credit Risk module predicts with 80% certainty that an invoice won’t be paid on time, you can configure an automation to send a friendly reminder before the due date. Or you might decide to send reminders more frequently. You can even deploy an AI worker to proactively call the customer.
This way, you combine the power of data with smart workflows, giving you tighter control over your cash flow — before any issues arise.
Below you can see a screenshot of how AI-based payment prediction looks within our application:
At the moment, payment prediction is available in Payt and can be requested via our service desk.
AI can now place a call to your debtor. It is important that the debtor is informed upfront that they are speaking with an AI worker. The system politely asks for consent and explains that the conversation will be recorded for training purposes.
Payter, our AI worker, might, for example, check whether the invoice from company X has been received. With many consumer email addresses, such as Hotmail, emails increasingly end up in the spam folder. If that’s the case, the AI worker assists the debtor in whitelisting the email address to ensure that future emails are delivered properly.
Naturally, Payter also asks if there are any other issues where help is needed. If so, a task is automatically created in Payt for a staff member at company X to follow up. Payter also provides a short summary of the call and places the full audio recording in the timeline.
This kind of application will increasingly be added to various stages of the debtor process. Payt customers have the flexibility to decide where they would like to deploy an AI worker within their processes.
Every day, tens of thousands of messages flow into the inboxes of our customers. And that’s a positive sign: interaction between suppliers and customers leads to faster payments. However, all this communication also brings a considerable workload.
One of the most important innovations AI brings to the table is the Large Language Model (LLM). This technology not only understands language and words but also grasps the meaning behind them — enabling it to communicate independently, clearly, and effectively. Sometimes even so neatly that it almost feels unnatural.
Interestingly, tests have shown that people quickly form a bond with an AI model. Where the boundary lies between real interaction and fiction is perhaps more of a philosophical question. But one thing is certain: AI makes communication smarter, faster, and more personal. Exactly the kind of innovation we believe in at Payt.
Take a look below at a screenshot of the AI feature in our software that automatically labels incoming messages:
With this feature, the AI worker automatically labels incoming messages based on the sender’s intent. Here’s how it works:
This gives you much better oversight of all incoming communications. For example, you can quickly archive all confirmation messages in one go.
Currently, the automatic labelling feature is available in Payt and can be requested via our service desk.
In my view, within five years, all successful companies will be using AI to support their customers. The benefits are simply too great to ignore. Of course, there is still some hesitation — people often find it difficult to fully trust a computer. Every mistake is quickly seen as proof that AI cannot be relied upon. Just look at self-driving cars: although they statistically perform better than human drivers, every incident immediately leads to “I told you so!” reactions.
Fortunately, in customer support, the consequences of a mistake are far less dramatic.
From 2026, Payt customers will also be supported by Payter, our own AI support worker. Payter draws on knowledge from all our existing support articles. If he doesn’t have an answer to a question, he automatically creates a task for our human support team to add new information. Our team also actively monitors Payter’s responses and can provide feedback where necessary. Naturally, customers can switch to a human colleague at any point if they prefer.
Initially, there will still be many queries that we choose to handle manually, such as requests to delete groups of invoices. However, step by step, we will entrust more tasks to Payter.
Thanks to Payter, we will soon be able to offer support outside our usual service hours. And an added bonus: by using AI smartly, we keep our team small, highly skilled, and enable Payt to continue growing — even in a tightening labour market.
