10. The Infrastructure of Trust: Security, Explainability, and Auditability in Credit AI

Sub-header: Building transparency into the AI lifecycle.

Mini Description: Institutional adoption depends on trust. This white paper explains how to construct explainable and auditable AI pipelines across the credit workflow — ensuring that every prediction, rating, or flag is traceable back to source documents.

Highlights:

• Explainability standards for credit AI
• Data lineage: from raw document to decision output
• Governance: aligning AI transparency with regulatory expectations

Context: Recommended by institutional risk officers as a roadmap for model governance.

Already shared with senior leaders at top private-credit platforms.