AI Governance & Defensibility

I work at the intersection of AI systems and regulated financial infrastructure. My focus is practical governance: controls, documentation, oversight, and defensibility — especially where sponsor-bank scrutiny and regulatory expectations matter.

Email Chris What I’m working on

How I help

Map AI exposure across decisioning + ops
Define practical governance controls
Design “defensibility-ready” documentation
Build oversight workflows that operators can run
Pressure-test vendor + model risk narratives

Current Focus

Sponsor-bank fintech AI governance patterns
Model risk controls for AI decisioning (underwriting, fraud, monitoring)
LLM usage in compliance/ops (guardrails + accountability)
Human-in-the-loop standards that actually hold up
Change control + evidence for AI updates

Work in Progress

AI Defensibility: a practical operator framework
Use-case intake + approval checklist
Minimum viable model documentation standard
AI vendor diligence questions that matter
Quarterly oversight cadence (what to review + why)

Contact

If you’re deploying AI in a regulated environment and want to pressure-test governance posture and defensibility, reach out.

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