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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. Regulators and enterprise customers expect documented governance, and absence of it shows up first as deal friction and later as fines.

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 issues arise
—Companies preparing for audits, certifications, or customer due diligence
—PE-backed companies facing governance scrutiny during due diligence
—Leadership teams demonstrating AI accountability to the board
Timeline
2–3 weeks
Structure
Fixed fee

Methodology

1. Discovery — Week 1

Stakeholder interviews across leadership, security, legal, and engineering. AI system inventory. Current state documentation.

2. Analysis — Week 2

Gap assessment against NIST AI RMF, ISO 42001, the EU AI Act, and industry-specific requirements. Per-system risk classification.

3. Delivery — Week 3

Gap matrix, governance framework, policy recommendations, 30/60/90-day roadmap, and an executive presentation for leadership and the board.

FAQ

Which governance framework do you use?

NIST AI RMF as a baseline, mapped against ISO 42001, the EU AI Act, and any industry-specific requirements relevant to the engagement, customized to your context.

Do we need an existing governance program to start?

No. We work with organizations that have no existing program and provide an honest assessment of where you stand today.

How is this different from a traditional IT audit?

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.

Can this prepare us for ISO 42001 certification?

Yes. The deliverables provide a strong foundation and a clear roadmap toward certification readiness.

What if we just want policies, not a full gap analysis?

We recommend at least a lightweight assessment first. Policies written without understanding your current state tend to be generic and hard to implement.

Book a 30-minute call to discuss where your organization stands and what a governance foundation looks like.