AI Governance
Governance that scales with adoption
We help organizations build AI governance programs that are credible with regulators and auditors, and workable for the teams delivering value.
Our approach
Governance should accelerate responsible adoption — not stall it. We design programs anchored in recognized standards, tuned to your risk appetite and operating model.
Every engagement combines standards-based rigor with pragmatic execution: clear policies, workable risk processes, defined decision rights, and oversight that gives boards and executives real visibility. Where certification is a goal, we help organizations prepare for and align with ISO/IEC 42001; where it is not, we still use it as a durable reference.
ISO/IEC 42001
Implement or prepare for certification against the AI management system standard — scope, controls, and operating rhythm.
NIST AI Risk Management Framework
Apply the GOVERN, MAP, MEASURE, MANAGE functions to build a repeatable AI risk lifecycle.
Responsible AI Principles
Operationalize fairness, transparency, accountability, safety, and human oversight beyond aspirational statements.
AI Policies & Standards
Enterprise AI policy suite, acceptable-use guidance, and technical standards mapped to your control environment.
AI Risk Assessments
Use-case risk classification, model risk assessments, and pre-deployment reviews that scale with adoption.
Governance Committees & Operating Models
Design the councils, RACI, and decision rights that make AI governance operate in the real world.
Vendor Risk & Model Oversight
Third-party AI due diligence, model inventory, and ongoing monitoring for internal and vendor-provided models.
Ready to move from AI ambition to execution?
Book an introductory conversation. We'll help you frame the right next step.