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Lending Technology


Black-Box AI vs. Deterministic AI: Why Regulators Are Rejecting Probability-Based Credit Models
In the race to automate credit underwriting, financial institutions have rushed toward generative AI and large language models (LLMs). The pitch sounds tempting: hand over unstructured bank statements, tax returns, and borrower histories to a high-capacity probabilistic model, and let deep learning spit out an instant risk assessment. However, a harsh reality check is unfolding inside risk committees and central bank audit rooms worldwide. Regulators—from the US Federal Reser

Hobbiate
Sep 214 min read
Top 20 Bank Statement Fraud Patterns Every Underwriter Should Know
Detecting modern bank statement fraud requires looking beyond surface-level OCR. From metadata edits to circular transactions, discover the top 20 bank statement fraud patterns every credit underwriter must know—and how Hobbiate (powered by FinLens & Bharosa-AI) automates explainable, evidence-backed fraud detection to reduce credit risk.

Hobbiate
Aug 76 min read
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