Enterprise AI
Governance Framework
A comprehensive 6-pillar AI governance operating model aligned to the EU AI Act, ISO 42001 and NIST AI RMF. Designed for enterprise AI teams, risk functions and boards navigating AI governance in regulated and complex environments.
The Framework
Six Pillars of Enterprise AI Governance
Each pillar represents a distinct governance domain — from model inventory through to board reporting. Together they form a complete AI governance operating model that scales from startup to large enterprise.
AI Model Inventory & Classification
Every AI system in development or production must be inventoried, classified by risk tier and assigned ownership.
EU AI Act Art. 49–51 · ISO 42001 §6 · NIST AI RMF GOVERN 1.1
Accountability & Governance Structure
Governance requires clear accountability structures — not just policy documents. Every AI system needs named owners responsible for performance, ethics and compliance.
EU AI Act Art. 16–24 · FCA PS22/3 · NIST AI RMF GOVERN 2.1
Model Documentation Standards
Undocumented AI is ungoverned AI. Every production AI system requires standardised documentation covering purpose, training, performance, limitations and risks.
EU AI Act Annex IV · Model Cards (Mitchell et al.) · FCA SS1/23
Bias, Fairness & Ethics Controls
AI systems must not perpetuate or amplify discrimination. Fairness evaluation must be built into the development lifecycle — not added as an afterthought.
EU AI Act Art. 10 · GDPR Art. 22 · IEEE 7000 · NIST AI RMF MANAGE 1.3
Ongoing Monitoring & Oversight
Governance is continuous — not a one-time deployment gate. Production AI systems require ongoing performance monitoring, drift detection and structured review cycles.
EU AI Act Art. 72 · SR 11-7 (FRB) · NIST AI RMF MEASURE 2.5
Board & Executive Reporting
AI risk must be visible at board level. Standardised reporting allows executives to understand the organisation's AI risk posture without requiring technical expertise.
EU AI Act Art. 9 · FCA DP5/22 · Basel III AI Ops Risk · NIST AI RMF GOVERN 6.1
Maturity Assessment
AI Governance Maturity Model
Where does your organisation sit? Use this model to assess your current governance maturity and define your target state.
Level 1
Ad Hoc
No formal AI governance. Models deployed without documentation, ownership or oversight.
Level 2
Aware
Basic model inventory exists. Some documentation. No formal governance structure or ongoing oversight.
Level 3
Defined
Governance policy in place. Model cards for key systems. Named ownership. Quarterly reviews starting.
Level 4
Managed
Full inventory, documentation and bias evaluation. Active governance committee. Board reporting in place.
Level 5
Optimised
Continuous monitoring, automated governance triggers, ISO 42001 alignment, proactive regulatory engagement.
Regulatory Alignment
Key Regulatory Frameworks
This governance framework maps directly to the major AI regulatory and standards frameworks. Understanding each and their requirements is essential for enterprise AI risk management.
EU AI Act
High-risk AI systems deployed in EU
ISO/IEC 42001
AI Management System certification
NIST AI RMF
US federal agencies + enterprise
FCA AI/ML
UK financial services
Assess Your AI Governance Maturity
MTC's AI governance assessment maps your current state across all six pillars, identifies regulatory gaps and delivers a prioritised remediation roadmap.