I help teams make hard AI decisions.
AI governance, technical enablement, security, and privacy are often treated as separate disciplines. Hard decisions demand all four. I practice them as one.
Perspective
Trust is the bottleneck between the social and the technical.
AI is not simply a technical system or a people problem. It is both. Capability, data, authority, incentives, and review have to work as one mechanism—shaped to the organization and its stage.
- 01
Uncertainty arrives late.
People know who owns the decision, but doubt early challenge will be heard.
- 02
Evidence does not travel.
Evidence exists, but teams cannot agree what is sufficient or carry reasoning forward.
- 03
The path fails under pressure.
The process works until pressure turns it into bypasses and escalation.
Background
Experience across the decision system.
My in-house work has crossed technical enablement, AI/ML, cybersecurity, and privacy in healthcare, biotech, connected fitness, and infrastructure. That range is why I see one decision system where organizations often see separate functions.
- 01ModernaAI Enablement, Security, and Technical Programs
- 02PelotonSecurity & Privacy
- 03AppenAI/ML Technical Enablement
- 04lululemonSecurity Programs
- 05AudinateTechnical Training and Product Marketing
Advisory
Align AI governance, security, and adoption.
I advise leaders where AI governance, cybersecurity, and human adoption meet. The work is simple to name and hard to do: align the people who build, the people who secure, and the people who answer for the risk.
AI Advisory
- Focus
- One consequential AI decision
- Approach
- Cross-functional alignment and decision design
- Outcome
- A defensible path the organization can use
I help clarify ownership, expose tradeoffs, and build a decision path that fits how your organization actually works.
Advisory is scoped to the decision and operating context. It does not replace legal counsel, compliance attestation, technical evaluation, or implementation.