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AI use case
Provenir, a global leader in AI-powered risk decisioning software for the fintech industry, has partnered with Kueski, one of the largest buy now pay later (BNPL) and online con…
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Title
AI-Powered Credit Risk Assessment for BNPL
Content
Provenir, a global leader in AI-powered risk decisioning software for the fintech industry, has partnered with Kueski, one of the largest buy now pay later (BNPL) and online consumer lenders in Latin America, to fuel Kueskis aggressive growth goals for its BNPL offering KueskiPay. Kueskis mission is to make the financial lives of people in Mexico easier by expanding access to traditional financial products and services to millions of underserved, underbanked consumers. This requires fresh approaches in determining a consumers ability to pay, such as analyzing alternative data versus traditional credit checks. So far, Kueski has disbursed more than 6 million loans, totaling nearly 1 billion dollars in accumulated disbursed capital. Its collaboration with Provenir helps the platform continue to grow and consolidate itself as the leading BNPL solution in the LATAM region. Kueski uses AI, machine learning, and big data but needed a more robust flexible risk decisioning platform to support growth and product expansion plans. Provenir provides access to more diverse data giving deeper insights so Kueski can make the best decision for its customers. Provenir brings together the three essential components needed - data, AI, and decisioning - into one unified risk decisioning solution. Provenir and Kueski are both committed to using technology to help eliminate financial exclusion in the region. With Provenir, Kueski can use champion/challenger testing strategies to deploy decisioning models optimized specifically for underserved individuals, improving Kueskis data analysis and understanding of its customers.
URL
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Back to use casesCity
Mexico City
Company/Organization
Kueski
Continent
North America
Country
Mexico
Category
Banks
Type
Deployment
Id
d653cae7-3435-4b3b-b156-ecb7c99f74fd
Created At
2026-04-03T17:25:06.888601+00:00