Your organisation is already using AI.

AI governance is important because AI risk is now an organisational risk. When AI systems make or influence decisions about people, processes or data, failures in those systems create legal, operational and reputational exposure. Without governance, organisations cannot demonstrate control over how AI is being used, cannot respond consistently when something goes wrong, and cannot evidence compliance with frameworks like the EU AI Act or ISO 42001. The absence of governance does not reduce risk — it makes it invisible.

The EU AI Act creates legal obligations for any organisation that deploys AI systems affecting people in the EU, regardless of where the organisation is based. It requires organisations to classify AI systems by risk level — from minimal to prohibited — and apply corresponding controls. High-risk AI systems require documented risk assessments, human oversight mechanisms, incident logging and audit trails. Full enforcement begins August 2026. Organisations that have not yet inventoried their AI use cases are already behind. 

 Shadow AI refers to AI tools and systems adopted by employees or teams without formal approval, procurement oversight or IT visibility. It is one of the most significant AI governance challenges organisations face — according to EY's 2026 Technology Pulse Poll, 52% of department-level AI initiatives run without formal approval or oversight. Governing shadow AI requires a complete register of AI use cases across the business, not just sanctioned tools. Organisations should conduct a broad discovery exercise, classify everything against a risk framework, and establish a repeatable intake process for new AI adoption. A spreadsheet is not sufficient — the register needs to be live, linked to risk owners and auditable. 

ISO 42001 is the international standard for AI management systems. It provides a structured framework for establishing, implementing and continually improving an organisation's approach to AI governance — covering risk assessment, policy, roles and responsibilities, and performance monitoring. ISO 42001 is becoming the benchmark that boards, enterprise customers and auditors use to assess whether an organisation's AI governance is credible. Organisations already certified to ISO 27001 will find the structure familiar; the two standards are designed to work together, with AI risk slotting into existing information security and risk management programmes.