The real constraint
Most firms don't have an AI problem. They have an AI accountability problem.
Everyone's experimenting. Vendors are adding AI to everything. Regulators are watching. Leadership knows AI matters — but nobody's answered the harder question: who signs off when it's wrong?
The questions that stay unanswered:
Who owns AI risk when a model makes a lending decision?
What does "explainable" actually mean to an examiner?
Where does AI governance sit — compliance, tech, or both?
How do we adopt AI without creating regulatory exposure?
What does defensible documentation look like?
That's where TraySar Corp comes in.
Point of view (3 pillars, gold icons on navy cards)
01 — Business risk first, technology second AI strategy has to answer to the same governance standards as every other material risk in the business — not sit outside them.
02 — Compliance is a design partner, not a gate The firms that move fastest are the ones that build governance in from day one, not bolt it on after an exam finding.
03 — Evidence beats confidence A model that "seems right" isn't defensible. A model with a documented, examined trail is.
Practitioner, not commentator
I don't just advise on AI governance. I build it.
TraySar Corp draws directly on 20+ years inside JPMorgan, Citigroup, and Freddie Mac — RCSAs, BCP, regulatory reporting, and operational risk — plus hands-on work co-founding ClarityOps, an AI platform built for institutional-grade diligence under SOC 2 Type II controls.
Building a live compliance platform forces the same questions clients face: audit trails, explainability, human-in-the-loop review, examiner readiness. That's what makes this practical instead of theoretical.
[More on ClarityOps →]
Practitioner, not commentator
I don't just advise on AI governance. I build it.
TraySar Corp draws directly on 20+ years inside JPMorgan, Citigroup, and Freddie Mac — RCSAs, BCP, regulatory reporting, and operational risk — plus hands-on work co-founding ClarityOps, an AI platform built for institutional-grade diligence under SOC 2 Type II controls.
Building a live compliance platform forces the same questions clients face: audit trails, explainability, human-in-the-loop review, examiner readiness. That's what makes this practical instead of theoretical.
[More on ClarityOps →]
Practitioner, not commentator
I don't just advise on AI governance. I build it.
TraySar Corp draws directly on 20+ years inside JPMorgan, Citigroup, and Freddie Mac — RCSAs, BCP, regulatory reporting, and operational risk — plus hands-on work co-founding ClarityOps, an AI platform built for institutional-grade diligence under SOC 2 Type II controls.
Building a live compliance platform forces the same questions clients face: audit trails, explainability, human-in-the-loop review, examiner readiness. That's what makes this practical instead of theoretical.
[More on ClarityOps →]
AI strategy was a cornerstone to our AI implementation success. Her ability to simplify complex technical topics is impressive. Professional and a pleasure to work with.
C. Smith, FreddieMac
Tracy understands risk management and how to implement with those principles in mind, while adhering to a company's values and vision.
P. Stewart, Pioneer School
Having worked with other strategists, I was impressed with how she technically folds together business objectives with realistic plans and gets organizational buy-in.
A. Peterson, Deutsche Bank
Tracy's technical strategies transformed our documents, allowing for simplification, information, and engagement with our stakeholders.
D. Stone, JPMorganChase