AI Governance Framework Design & Implementation
Design and implement an AI governance framework aligned to NIST AI RMF and ISO/IEC 42001 — roles, policies, controls, and documentation that stand up to scrutiny.
Let's design your frameworkAn effective AI governance framework turns uncertainty into repeatable process. It gives your teams clear guardrails, assigns accountability, and produces the documentation that regulators, auditors, and enterprise customers expect.
What an AI governance framework includes
Governance structure & accountability
Define who owns AI risk, who approves use cases, and how escalations are handled. This includes an AI council or steering group, clear RACI assignments, and decision rights.
Policies, standards & controls
Translate governance principles into enforceable policies covering acceptable use, procurement, data handling, human oversight, and model validation.
AI system inventory & lifecycle processes
Track every AI system from concept to retirement, including risk classification, review gates, change management, and decommissioning.
Measurement & continuous improvement
Establish KPIs, incident tracking, and periodic review cycles so the framework evolves with your AI portfolio and the regulatory landscape.
Alignment with NIST AI RMF and ISO/IEC 42001
The framework maps directly to NIST AI RMF functions (Govern, Map, Measure, Manage) and ISO/IEC 42001 clauses for AI management systems. This means your documentation is ready for audit and your controls are structured around internationally recognized practices.
How an engagement works
- Assess. Review current AI use cases, existing policies, stakeholder roles, and regulatory exposure.
- Design. Develop the governance model, policy suite, and lifecycle process tailored to your organization.
- Implement. Roll out the framework with templates, training, and tooling recommendations.
- Embed. Establish review rhythms and metrics so governance becomes part of how teams work.
Who this is for
This service is designed for organizations that are deploying AI across multiple teams, selling AI-enabled products to enterprise customers, or preparing for ISO/IEC 42001 certification or EU AI Act compliance.
Frequently asked questions
What is an AI governance framework?
An AI governance framework defines how your organization makes decisions about AI: who is accountable, what policies apply, how risks are managed, and how AI systems are documented and monitored throughout their lifecycle.
How long does it take to implement?
Most organizations can put a working framework in place in eight to twelve weeks, depending on the number of AI systems, stakeholders, and existing policies.
Will it help with EU AI Act compliance?
Yes. A well-designed governance framework provides the roles, processes, and documentation foundation needed for EU AI Act and other regulatory requirements.
Let's design your framework
Book a discovery call to discuss your current governance state and the fastest path to a defensible framework.