Part of Fractional CISO Leadership →
AI Governance & Enablement
Practical governance that clears the path for AI adoption instead of blocking it.
What This Is
Most first-generation AI governance defaults to restriction, a policy banning tools, a committee that becomes a bottleneck. This stands up a lightweight, risk-tiered structure instead: one that lets low-risk AI use move fast, while routing genuinely high-risk use, regulated data, customer-facing decisions, sensitive model training, through real review.
Is This the Right Fit
- Employees are already using AI tools informally with no visibility or policy
- Leadership wants to enable AI adoption but is worried about data leakage, IP exposure, or regulatory risk
- A product or engineering team wants to ship an AI feature and there's no review process to unblock it responsibly
- Customers or partners are asking how AI is governed as part of security questionnaires
What You'll Have
- An AI use-case inventory and risk-tiering model
- An AI Governance Board charter, or a lightweight equivalent sized to your organization
- An acceptable use policy and data handling standard
- A fast-track approval path for low-risk use, and a real review path for high-risk use
- A published, approved-tools list
“The goal isn't to stop AI adoption, it's to clear the path for it. Good governance is what lets your teams move faster with confidence, not slower with fear.”
Also Consider
Custom Security Advisory (if AI training or a single use-case review is all you need right now)
Risk Assessments (deeper technical review of high-tier AI use cases)
Privacy & Compliance Alignment (where AI touches regulated data)
OKR & KPI Development (tracking AI adoption and governance metrics over time)
This works as a standalone stand-up project or as a workstream inside Fractional CISO Leadership. Let's talk about which fits.
Let's Talk