SHAP, Translated for the Boardroom
Turn raw SHAP force and waterfall plots into plain-language, auditor-ready verdicts. No data scientist required.
Beyond the Beeswarm Plot
Regulators don't want a math lesson—they want a defensible explanation. WhiteBoxXAI automatically processes SHAP values across tree, linear, deep, and black-box models, converting numerical feature importances into clear narrative text.
- EU AI Act & NIST AI RMF CompliantMap model behaviors directly to transparency requirements with one click.
- Audit-Ready ExportDownload PDF reports containing full component breakdowns for your risk register.
Plain-Language Verdict Output
Auto-generated by WhiteBoxXAI for Prediction ID #892 (Loan Denial)
Summary: The model denied this application primarily due to the applicant's Debt-to-Income Ratio, which increased the risk score by 35%.
Secondary Factors: Recent Missed Payments increased the risk score by an additional 20%.
Mitigating Factors: While the applicant's Length of Employment reduced the risk score by 10%, it was insufficient to change the final outcome.
SDK integrations for your ML stack
For Regulated Enterprises, AI Governance is No Longer Optional.
As AI moves from experiments to production systems making consequential decisions, teams cobbling together custom evals and spreadsheets simply won't cut it. For regulated banks and insurers, audit trails, drift detection, and compliance artifacts are essential infrastructure.
WhiteBox leans into what can be verified. Centralize your governance with our flagship AI Risk Register—something traditional GRC tools lack. Generate defensible incident forensics and compliance reports so when the board asks about AI risk, you have real evidence, not just a slide deck.
See what your AI has been hiding.
Request an enterprise demo and walk through real drift detection, explainability, and governance workflows.