Granting financing to an SME is more than just reading a balance sheet. Despite the tools available, many analysis errors persist, leading to unjustified refusals... or risky files being accepted. In this article, discover the 5 most frequent errors, illustrated by case studies,
The digital financing market is changing fast. B2B fintechs need to make credit decisions quickly, reliably and within regulatory constraints. But how do you scale without recruiting an entire team of risk analysts? The solution: industrialize your credit scoring via an automated engine, without losing time.
In an increasingly demanding regulatory environment, automating compliance processes is becoming a strategic challenge for all B2B companies. Between customer verification (KYC), the fight against money laundering (LCB-FT) and compliance with the RGPD, fintechs and digital platforms need to both
Document fraud is a growing risk in B2B financing. Between falsified documents, legal inconsistencies and fictitious activities, professional credit players must redouble their vigilance. But how do you spot these weak signals without mobilizing an army of analysts? The answer lies in
For decades, banks and credit insurers have been using standard scoring models to assess the creditworthiness of companies. But are these models, designed in the pre-digital era, still adapted to the diversity of B2B companies? More and more often, the answer is no. In this article, we
In a B2B world where financing, partnership or insurance decisions depend on a rapid but reliable analysis of customer risk, the ability to automate this process becomes a major competitive advantage. Historically, this analysis relied on manual tools, Excel spreadsheets and