Build an AI governance framework that satisfies investors, boards, and regulators without slowing down your product teams.
Investors and regulators are no longer asking whether you use AI. They are asking how you govern it — model selection, data handling, vendor risk, human oversight, and incident response.
For FinTech and crypto companies, the question is sharper. AI touches customer data, transaction monitoring, fraud models, and customer communications. A policy written in a vacuum won't survive diligence.
A practical, ready-to-customize governance package for companies adopting AI under investor, board, or regulator pressure.
Based on 20+ years of security and governance leadership, including taking a crypto company public.
CTOs, CISOs, COOs, legal, and compliance teams at companies adopting AI tools and facing investor, board, or regulator questions about governance, risk, and acceptable use.
Show VCs you have a defensible AI governance posture before they ask.
Give the board a clear policy framework instead of ad-hoc rules.
Build the documentation regulators expect around AI risk and human oversight.
I work with leadership teams to build AI governance frameworks that satisfy investors, boards, and regulators without slowing down the business.
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