Category: Credit Risk Management

On June 5, 2025, Altares Dun & Bradstreet will launch an innovative Belgian AI scorecard for credit assessment. Powered by advanced neural networks and proprietary explainability methods, the model offers clear insight into every decision. Fully transparent, ethically designed, and compliant with GDPR and the EU AI Act. This scorecard enables organizations to assess risks more accurately and make responsible decisions in a rapidly evolving economy.

Your credit rating and credit limit determine how financial institutions and suppliers rate your business. A higher score ensures better terms and lower costs. Improvement requires a strategic approach: pay invoices on time, keep your financial records up-to-date and manage your business structure well. By acting consistently financially responsible, you will build a strong reputation and increase your credit opportunities

In 2025, we will introduce a powerful new bankruptcy score for Belgium, driven by advanced AI and a refined 3-layer structure. This score offers unparalleled accuracy and predicts risk more sharply than ever, allowing clients to make credit decisions faster and with greater certainty and take advantage of up to 25% more opportunities.

The integration of AI in credit management increases efficiency and accuracy, transforming the role of credit managers into more strategic tasks. Human expertise remains crucial in an AI-supported future.

Now if you do business in Belgium (so even as a foreign company) you are contractually allowed a payment period of up to 60 days. With the possible arrival of the new Late Payment Directive, this will be changed and all companies would have to pay within 30 days, which is twice as fast as now.

To find an effective credit risk management solution, it is important to consider three questions: In which countries do you operate? How scalable is the solution? And how good is the quality of the data the tool uses? We'll help you further.

Doing business has long ceased to be a matter of good faith. Especially with larger companies, the risks involved are just way too high. The alternative: running credit checks on (potential) customers before you close a deal. But how do you do that properly?

After your data housekeeping and your data strategy, it's now time for your data process. In a handy infographic, we've provided an overview of how to streamline your data process in 5 steps.

With the broadest sense of credit provision, risks arise. Can the company repay this credit? Will this company pay on time? Is it wise to take risks occasionally, or is it better to avoid them or insure against them?

The ultimate credit risk cheat sheet is here. At a glance, you can see all the trends, challenges and solutions you need to know about as a credit professional.