Governance that keeps AI safe and useful.
I design risk governance systems that help organizations deploy AI responsibly — from NIST-based risk identification and bias remediation through Explainable AI, audit trails, and ongoing monitoring. I’ve applied this across banking, insurance, aviation, and SaaS.
Apply the NIST Risk Management Framework to identify AI risks and establish remediation for model drift and algorithmic bias before product deployment.
Use Explainable AI (SHAP, LIME) to interpret opaque deep learning models so every automated decision is traceable, defensible, and audit-ready.
Build risk registers, model documentation, and audit trails that create transparency and continuous compliance without slowing delivery.
Streamline risk assessment workflows across multi-institutional teams — proven over 300+ assessments for 12 regional banks and a capital management firm.
Standardize enterprise security audit protocols and least-privilege IAM/SSO governance — cutting review cycles 35% and lifting automated provisioning 85%.
Start with a free AI technology audit
Download one of these audits to begin evaluating your GenAI system. Then reach out for deeper analysis and a full risk assessment tailored to your organization.
General AI Technology Audit — Pre-Deployment
Evaluate governance, risk, data, model validation, security, and stakeholder readiness before release.
Download PDFGeneral AI Technology Audit — Post-Deployment
Review monitoring, drift, incidents, performance, compliance, security, and continuous improvement in production.
Download PDFNeed a deeper analysis? Contact me for a full risk assessment.
Frameworks I work with
My governance approach is framework-agnostic where possible, but grounded in the standards regulators and enterprises are adopting today.
- NIST AI Risk Management Framework (AI RMF)
- Microsoft Responsible AI Standard
- AI Security — INFOSEC certified
- Enterprise security audit protocols and OWASP
- IAM/SSO least-privilege identity governance
- Financial services risk assessment and remediation playbooks
Governance is a product, not a checklist.
The best AI governance systems are embedded in the product lifecycle and organizational culture, designed with the teams that use them, and measured by their impact on trust and velocity.