Audit & Advisory

Internal Audit of AI Governance

Get the AI audit coverage your board needs — without building a specialist team.

cAIberion undertakes to design and conduct an internal audit of AI deployment and use in your organisation, on behalf of the Internal Audit function. ΑΙ systems and their use are becoming an emerging risk domain and providing assurance over the control over AI related risk in organisations, is a new and highly specialist discipline.

In this exponentially changing technology landscape, where AI is at the centre, internal audit teams, burdened already with regulatory related audit activities with limited resources, did not have time to assimililate develop sufficient skills and resources to do this effectively. cAIberion delivers AI-focused audits covering AI systems, AI governance controls, model development practices, deployment controls, monitoring effectiveness, and compliance with internal AI policies and regulation. Our internal audit paractice follows IIA IPPF and ISACA ITAF standards and emphasises integration with your existing internal audit function. We operate as a specialist extension of your team — following your audit methodology, aligning to your audit plan. The formal audit report produced can be in your house style with findings, recommendations, and management response framework, ready to be imported into your Audit Management System

What's Included

  • Internal Audit scope confirmation with Internal Audit function and AI systems inventory
  • AI governance controls audit: policy, accountability, oversight mechanisms
  • Human oversight, explainability, and transparency controls testing
  • AI cybersecurity controls: adversarial resilience, access controls, patch management, monitoring
  • Third-party AI governance

Deliverables

  • Formal internal audit report with graded findings
  • Management responses tracker
  • Regulatory mapping: findings mapped to EU AI Act
Who This Is For

Chief Audit Executives requiring independent AI audit coverage, regulated entities facing supervisory inspection, and organisations that need AI audit expertise their internal team does not currently possess.