AI governance · process · delivery
I help organizations put AI governance in place, and make it stick.
Twenty years of delivering controls, processes and technology in financial services, healthcare and tech, now focused on governance that enables AI adoption instead of slowing it down.
- AIGP
- ISO/IEC 42001 Lead Implementer (BSI)
- CIPM
- Six Sigma Black Belt
- CSM · CSPO
Works with NIST AI RMF, ISO/IEC 42001, OECD AI Principles and privacy requirements.
What I do
Governance that fits how the organization actually works
Four disciplines in one practitioner: fewer handoffs, and controls that survive contact with the business.
- 01
Process Design
Integrate AI
Fix the process first, then build AI into workflows with clear roles, decisions and handoffs.
Six Sigma Black Belt - 02
Human-Centered
Enable oversight
Give people the tools, information and controls to oversee AI, and design governance they will actually follow.
M.S. HCI + Design - 03
Product Delivery
Execute reliably
Take it from discovery to controlled deployment: roadmaps, vendors, migrations and adoption.
CSM · CSPO
AI Governance The foundation
Establish the principles, accountability and guardrails for safe, ethical, responsible AI, owned by your team.
Organization-level engagements, including fractional AI governance, run through Flowhaus.ai.
Selected work
Proof from regulated, high-stakes environments
Mortgage document governance
Union Bank, mortgage banking, 2017–2018
Read the case →Migration weekends with zero losses
Wells Fargo / Wachovia, wealth management, 2010–2011
Read the case →Healthcare feedback and request platform
Alliance Healthcare Services, 2015–2017
Read the case →AI voice, privacy and disclosure
Meta / Reality Labs, 2021–2023
Read the case →Optimize before automate
Start with one system or issue, tailor governance to the organization, and expand once it works. How I work →