Credit intelligence in a regulated environment.
GenAI applied to lending decisions where every output must be explainable, auditable, and defensible to a regulator.
Lending decisions were slow, manual, and inconsistent — but in a regulated environment a black-box model was a non-starter. Every decision had to be explainable and audit-ready.
We embedded with the risk and data teams and built explainable decisioning with a human in the loop and an immutable audit trail — speed without surrendering control or compliance. Every model carries a model card and a documented validation process.
A decisioning workbench: applicant view, model rationale in plain language (SHAP-backed), override controls with reason codes, and an immutable audit log for every decision.
- An explainable decisioning workbench
- SHAP-backed rationale for every decision
- Override workflow with reason codes
- Immutable audit log & model cards
- A model-validation & monitoring pipeline
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