AI Governance & ISO/IEC 42001 Readiness

Structured AI governance support to help organisations design, assess and evidence responsible, controlled and audit-ready use of artificial intelligence.

AI governance ensures that artificial intelligence systems are designed, deployed and operated in a controlled, transparent and accountable manner. As regulatory expectations increase, organisations must be able to demonstrate governance, risk management and evidence-based oversight of AI use.

Poleis supports organisations in establishing proportionate AI governance frameworks aligned to ISO/IEC 42001, emerging regulatory expectations (including the EU AI Act), and existing risk, security and compliance structures.

AI scope definition & inventory

Effective AI governance starts with understanding where and how AI is used across the organisation.

Identification of AI systems, models and use cases
Definition of organisational and system boundaries
Classification of AI use by risk, impact and criticality
Identification of internal and third-party AI dependencies

This establishes a clear, auditable baseline for governance and risk assessment.

ISO/IEC 42001 gap analysis

We perform a structured gap analysis against ISO/IEC 42001 requirements and recognised AI governance good practice.

Assessment of governance, policy and oversight structures
Review of AI risk management processes
Evaluation of control design and implementation
Assessment of documentation and evidence availability
Identification of gaps and improvement priorities

Findings are presented clearly, with proportionate recommendations aligned to organisational maturity and risk appetite.

AI risk assessment & control alignment

AI introduces unique risks relating to data, models, bias, explainability, security and human oversight.

Identification and assessment of AI-specific risks
Alignment of risks to governance and technical controls
Review of mitigation effectiveness and residual risk
Integration with enterprise risk management frameworks

This ensures AI risk is managed consistently and transparently across the organisation.

Governance, roles & accountability

Sustainable AI governance depends on clear accountability and decision-making.

Definition of AI governance roles and responsibilities
Oversight and escalation mechanisms
Alignment with existing security, risk and compliance governance
Board and senior management visibility

Governance structures are designed to support both innovation and control.

Evidence & audit readiness

Demonstrating AI governance requires clear, consistent and defensible evidence.

Review of policies, standards and procedures
Evidence mapping for AI lifecycle controls
Preparation for internal and external assurance activities
Support for management review and reporting

This enables organisations to withstand regulatory and audit scrutiny.

Who this service is for

This service is suitable for organisations that:

Develop, deploy or use AI systems
Rely on third-party or embedded AI solutions
Are preparing for ISO/IEC 42001 alignment or certification
Need clarity on AI governance and risk expectations

Next steps

If you are looking to strengthen AI governance or prepare for ISO/IEC 42001, we can help.