Strategy & guardrails
AI Governance & Policy Consulting
Guardrails before you scale. I help teams put responsible-AI policy, risk classification, and accountable oversight in place so AI ships without regulatory or reputational surprises.
What's included
Governance that holds up in production
Scope
- Responsible-AI policy & principles tailored to your risk profile
- AI system inventory & risk classification (EU AI Act-aligned)
- Model & data documentation, audit trails, human-oversight design
- Third-party / vendor AI risk review
How it works
Engagement
- Discovery workshop & current-state assessment
- Gap analysis against your target framework
- Prioritized remediation roadmap
- Retainer or fixed-scope delivery
Proof
- Built governed knowledge-graph + multi-agent systems in production
- E-discovery / forensic pipelines under strict compliance regimes
- Data governance across regulated fintech & legal clients
FAQ
Common Questions
Do I need AI governance if I only use third-party models like GPT or Claude?
Yes. Under frameworks like the EU AI Act, obligations attach to how you deploy and use AI, not just who built the model. You still need an inventory, risk classification, human oversight, and documentation for the systems you put in front of users.
How long does an initial governance engagement take?
A focused current-state assessment and prioritized roadmap typically takes 2–4 weeks. Ongoing implementation support runs on a monthly retainer scaled to your risk profile.
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