Seekr, the leader in explainable, sovereign AI, announced that CPayant, a US headquartered digital trade banking platform for African importers and exporters, has deployed an AI credit-scoring system built on SeekrFlow
. The system does what the trade-finance establishment has been constrained to do for decades. It shows financing partners exactly why a business is creditworthy, and it shows every business exactly why it scored the way it did, and what would move the number.
Since CPayant began presenting AI-scored credit profiles to its financing partners, over 75% of the African businesses that applied have been approved for financing. A clear profile changes the size of the approval, not just the odds of getting one. In one early case, a CPayant client applied for a $250,000 import credit line. On the strength of his profile, he qualified for a $1.2 million revolving credit line.
The problem was never risk. It was opacity. Across Africa, banks approve only 63% of trade-finance applications from small businesses, against 80% for applications overall. The reason they cite most often is that they cannot establish the applicant’s creditworthiness. The African Development Bank says that finding has not changed since it began tracking the market in 2014. Twelve years. The same answer. The cost is a trade-finance gap of roughly $74 billion, carried mostly by small businesses. Yet the African Development Bank reports their default rates have held steady at roughly 8% to 10%. That is not unknowable risk.
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