Chapter 1: The Failure of Black-Box AI in Lending
Traditional deep learning and generative models struggle with financial underwriting because credit decisions require deterministic mathematical arithmetic and immutable evidence trails. When an underwriter rejects or approves a facility, they must provide verifiable reasons to credit committees and regulators.
Chapter 2: The Power of Evidence Graphs
An Evidence Graph ties every extracted parameter — from annual sales to average bank balances — to exact visual coordinates on source documents. This eliminates hallucinations and establishes an audit-ready chain of custody for every metric.
Chapter 3: Continuous Credit Intelligence
Underwriting should not end when funds are disbursed. Modern financial infrastructure must continuously monitor account aggregator cash flow velocity and tax filings to surface early warning indicators months before delinquency strikes.