AI use case

AI Credit Scoring Engine — Autonomous Loan Approval

MNT-Halan, Egypt's leading fintech company, deployed an AI-powered credit scoring engine that automated over 50% of loan approvals and achieved a 60% approval rate for previousl…

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Company/Organization: MNT-Halan
Industry: Financial Services
Location: Cairo

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Title

AI Credit Scoring Engine — Autonomous Loan Approval

Content

MNT-Halan, Egypt's leading fintech company, deployed an AI-powered credit scoring engine that automated over 50% of loan approvals and achieved a 60% approval rate for previously unscoreable users. The autonomous system pulls data from credit bureaus, verifies documents, evaluates applicant risk against scoring models, and makes preliminary approval decisions including instant micro-loan approvals for straightforward cases. The AI system assesses creditworthiness for populations that lack traditional credit histories, using alternative data sources and machine learning models to score and approve loans at scale. This deployment has enabled financial inclusion for millions of underserved customers in Egypt and the Middle East.

URL

https://www.weforum.org/stories/2025/10/how-responsibly-deploying-ai-credit-scoring-models-can-progress-financial-inclusion/

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