Govern AI with confidence
Advisory services to design and implement AI governance programmes aligned with NIST AI RMF, EU AI Act, and ISO 42001 — covering policy, risk management, oversight controls, and accountability structures.
What is AI Governance Consulting — Build a Responsible AI Programme?
AI governance consulting helps organisations establish the policies, controls, roles, and processes needed to deploy AI systems responsibly and in compliance with emerging regulations. It covers AI use-case inventorying, risk classification, accountability structures, incident response for AI failures, and alignment with NIST AI RMF, EU AI Act high-risk classification, and ISO 42001 management system requirements.
Why enterprises need structured AI governance
- AI deployments outpace governance: organisations adopt AI tools faster than they can assess, document, and control them
- Regulatory obligations are crystallising — EU AI Act, ISO 42001, and sector-specific AI guidance create compliance requirements that cannot be addressed reactively
- AI incidents — biased outputs, data leakage, model failures — create legal, reputational, and operational liability without governance structures in place
- Multiple stakeholders own AI risk (IT, legal, compliance, business units) without clear accountability — creating governance gaps at the boundaries
A four-step operational model
AI Use-Case Inventory
Document all AI systems in use — purpose, data types, decision impact, affected parties, and business unit ownership — as the foundation for governance.
- Comprehensive AI use-case register
- Data and decision impact classification
- Business unit ownership mapping
Risk Classification
Classify each AI system by risk level under EU AI Act categories and NIST AI RMF risk tiers — establishing differentiated governance requirements.
- EU AI Act risk classification
- NIST AI RMF risk tier mapping
- Governance requirement differentiation
Policy & Control Design
Design AI governance policies, oversight controls, accountability structures, and incident response procedures tailored to your organisation.
- AI use policy development
- Oversight control design
- AI incident response procedures
Framework Alignment
Map implemented controls to NIST AI RMF, ISO 42001, and EU AI Act requirements — producing audit-ready compliance evidence.
- NIST AI RMF alignment
- ISO 42001 AIMS implementation
- EU AI Act compliance mapping
Outcomes for security teams
EU AI Act compliance is mandatory, not optional
High-risk AI systems under EU AI Act face mandatory conformity assessments, registration, and ongoing compliance obligations with significant penalties for non-compliance.
ISO 42001 certification is becoming a procurement requirement
Enterprise customers and regulated industry partners are beginning to require ISO 42001 AI management system certification as a vendor qualification criterion.
Governance gaps create liability at the worst moment
Without documented governance, an AI incident triggers legal exposure, regulatory scrutiny, and reputational damage simultaneously — with no evidence of due diligence.
Direct answers
What is AI governance?+
AI governance is the system of policies, controls, roles, and processes an organisation uses to manage AI risk, ensure accountability, and comply with regulatory requirements for AI systems.
What is the EU AI Act?+
The EU AI Act is EU regulation that classifies AI systems by risk level (unacceptable, high, limited, minimal) and imposes compliance obligations — including conformity assessments, transparency requirements, and ongoing monitoring — on high-risk AI deployments.
What is ISO 42001?+
ISO 42001 is the international standard for Artificial Intelligence Management Systems (AIMS) — providing a structured framework for responsible AI governance, analogous to ISO 27001 for information security.
How long does it take to build an AI governance programme?+
A foundational AI governance programme covering policy, use-case inventory, risk classification, and basic controls can be established in 3–6 months. Full ISO 42001 certification readiness typically takes 6–12 months.