AI Governance and Risk Management

Artificial intelligence is arriving in organizations faster than the policies meant to govern it, and regulators are moving quickly behind it. We help organizations inventory the AI systems they build, buy, and already use, classify each use case by risk, and establish governance on the NIST AI Risk Management Framework and ISO/IEC 42001.

Our regulatory readiness work covers the EU Artificial Intelligence Act, the Colorado Artificial Intelligence Act, the Texas Responsible Artificial Intelligence Governance Act, and sector supervisory expectations. For companies embedding AI in their own products, we assess the security of those features directly, including prompt injection, data leakage, and output handling.

Services in this practice

• AI Governance Program Development. Design an AI governance program on the NIST AI RMF and ISO/IEC 42001: decision rights, policy, use case intake, risk assessment, oversight, and monitoring.

• AI Regulatory Readiness Assessment. Gap assessment against the EU AI Act, the Colorado AI Act, the Texas Responsible AI Governance Act, and sector expectations for AI accountability.

• AI System Inventory and Use Case Risk Classification. Discover and catalog the AI systems in use across your organization, whether built, bought, or embedded, and classify each use case by risk.

• Shadow AI Discovery and Governance. Find unsanctioned AI use, measure the data exposure it creates, and replace it with sanctioned tools, acceptable use standards, and technical controls.

• AI Vendor and Model Assessment. Evaluate AI providers and models for data handling, training provenance, security, reliability, contract protections, and regulatory obligations.

• AI Product Security and Assurance. Assess the AI features in your product for prompt injection, data leakage, output handling, access control, tenant isolation, and evaluation practice.

• AI Risk Assessment and Ongoing Monitoring. Recurring assessment of deployed AI systems for fairness, reliability, transparency, security, and regulatory fit, with the documentation regulators expect.

How engagements work

Every engagement is scoped individually and conducted under a master services agreement and mutual confidentiality terms. Work begins with a scoping conversation to understand your objectives, constraints, and deadlines, followed by a written statement of work defining scope, deliverables, and timeline. Both parties retain the right to decline an engagement where the fit is not right.

Frequently asked questions

What is ISO/IEC 42001?

ISO/IEC 42001 is the international standard for an artificial intelligence management system. It specifies requirements for establishing, operating, and continually improving the policies, processes, and controls an organization uses to develop, provide, or use AI responsibly, and it can be independently certified.

What is shadow AI?

Shadow AI is the use of artificial intelligence tools by employees without the organization's approval or oversight, such as pasting confidential information into public chat assistants. It creates data exposure, intellectual property, and regulatory risk that a governance program must discover and address.

Who needs an AI governance program?

Any organization that develops AI, embeds it in products, or allows employees to use AI tools with company data. Governance becomes essential when AI influences decisions about customers, employees, credit, health, or other consequential outcomes, which is where emerging regulation concentrates its obligations.