AI Governance & Compliance

The Reality Gap in AI Governance

Most AI governance programs are built by people who have never attacked an AI system. The result is compliance theater — policies that look good on paper but fail to address how these systems actually break.

Practical AI Governance & Compliance

Our AI Governance & Compliance advisory bridges the gap between regulatory obligation and technical reality. We help organizations build programs that satisfy the EU AI Act, NIST AI RMF, and ISO 42001 while remaining grounded in how AI systems are actually built, deployed, and exploited.

What We Deliver

AI Risk Assessments

• Identify, classify, and prioritize risks across your AI portfolio
• Frameworks aligned with NIST AI RMF and ISO 42001

AI Security Policy Development

• Acceptable use policies for AI tools and systems
• Model evaluation criteria and deployment approval processes
• Incident response procedures specific to AI systems

Regulatory Readiness

• Gap analysis and remediation planning for the EU AI Act
• State-level AI legislation compliance assessment
• Industry-specific AI regulatory requirements

AI Inventory and Classification

• Catalog AI systems and classify risk levels
• Establish ongoing monitoring and review processes

Third-Party AI Risk Management

• Assessment frameworks for evaluating AI vendors, SaaS AI features, and third-party model providers

Board and Executive Briefings

• Translating technical AI risk into business-level risk language for leadership and board reporting

Deliverables

• AI governance framework documentation covering roles, responsibilities, and decision rights across the AI lifecycle
• Risk assessment reports with prioritized risk register mapped to applicable regulatory requirements
• Policy templates and runbooks tailored to the organization's AI use cases and risk profile
• Regulatory compliance gap analysis and remediation roadmap with milestone tracking