AI Governance & ISO/IEC 42001 Readiness

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