AI Governance Gap Analysis
Turn ad-hoc AI usage into a governed, auditable program.
The problem
You're using AI. But do you have policies? Defined roles and responsibilities? A complete inventory of AI systems? Risk classifications? Audit trails? For most organizations, the answer to every one of those questions is no.
AI governance isn't about slowing innovation down — it's about scaling without liability. Without governance, every new AI deployment is an unmanaged risk. Every department is making its own rules. And no one has the full picture.
Regulators, auditors, and enterprise customers increasingly expect documented AI governance. “We're working on it” isn't an answer that holds up under scrutiny.
What’s included
- Current state assessment of AI governance practices
- Gap analysis against NIST AI RMF and ISO 42001 frameworks
- AI system inventory with risk classification
- Stakeholder interviews across leadership, security, legal, and engineering
- Governance framework recommendations tailored to your organization
- Roadmap development with prioritized actions
What you get
- Gap matrix mapping current state against target state
- AI system inventory with risk classifications per system
- Governance framework document customized to your organization
- Policy recommendations covering acceptable use, procurement, and risk management
- Implementation roadmap with 30/60/90-day milestones
- Executive presentation for leadership and board communication
Who this is for
- Organizations scaling AI that need governance foundations before things break
- Companies preparing for audits, certifications, or customer due diligence
- PE-backed companies facing governance scrutiny in due diligence processes
- Leadership teams demonstrating AI accountability to the board
Timeline & investment
Timeline
2–3 weeks
Investment
$8,000–$20,000
Pricing
Fixed fee
Our approach
Discovery — Week 1
Stakeholder interviews, AI system inventory, and current state documentation.
Analysis — Week 2
Gap assessment against NIST AI RMF, ISO 42001, and regulatory requirements. Risk classification.
Delivery — Week 3
Gap matrix, governance framework, policy recommendations, roadmap, and executive presentation.
Frequently asked questions
We use the NIST AI RMF as a baseline and map against ISO 42001, the EU AI Act, and any industry-specific requirements. The framework is tailored to your regulatory environment and business context — not a one-size-fits-all checklist.
No — many of our clients come to us specifically because they don't have one yet. We provide an honest assessment of where you stand, even if the answer is "we have nothing." That's actually the most valuable starting point.
Traditional IT audits focus on infrastructure, access controls, and network security. AI governance adds entirely new dimensions: model risk management, data provenance, algorithmic accountability, bias monitoring, and AI-specific regulations that didn't exist a few years ago.
Yes. The gap analysis gives you a strong foundation and a clear roadmap toward certification readiness. Actual certification requires an accredited certification body, but we get you ready for that process.
We can scope a policy-only engagement, but we recommend at least a lightweight gap assessment first. Policies written without understanding your current state tend to be generic and hard to implement. A brief assessment ensures your policies are grounded in reality.
Build AI governance that scales
Book a 30-minute call to discuss where your organization stands and what a governance foundation looks like.