Add example: evaluating a credit-decisioning model against BFS policies

[kmadan]

Goal

Add `examples/lending-model/` showing how to evaluate a consumer credit-decisioning model against policies in `industry_specific/bfs/v1/`.

Why this matters

Model governance (SR 11-7, ECOA Reg B, fair-lending) is one of the highest-value GOPAL use cases. Banks and lenders need executable rules for model risk management. A first-class example is the easiest way to demonstrate fit.

Files likely involved

Follow the convention of `examples/nist-ai-rmf-govern/`:

• `input.json` — a realistic model card / model risk file (model purpose, training data summary, fair-lending tests run, monitoring cadence)
• `run.sh`
• `expected-output.json`
• `README.md` — links to applicable regulations (SR 11-7, Reg B 12 CFR 1002, etc.)

Acceptance criteria

• Example follows the existing convention (`input.json`, `run.sh`, `expected-output.json`, `README.md`)
• Input represents a realistic credit-decisioning model card
• README cites applicable US regulations
• `examples/README.md` links to the new example

Get help

Comment here. Model-risk-management background welcome but not required.