Building an AI Governance Framework for Regulated Organisations

Martin Dean
1 min read
AI Governance

Establishing an AI governance framework is no longer optional for organisations operating under EU jurisdiction. The EU AI Act mandates specific governance structures, and failure to comply carries significant penalties.

Start with a risk inventory

Before building governance processes, you need visibility. Catalogue every AI system in use across the organisation, classify each by risk level, and map the regulatory obligations that apply. This inventory becomes the foundation for all subsequent governance activity.

Assign clear accountability

Every high-risk AI system needs an owner accountable for compliance. This is not a committee responsibility. Designate individuals with the authority and resources to act, and make their accountability visible across the organisation.

Implement proportionate controls

Not every AI system needs the same level of governance. Minimal-risk systems need only transparency requirements. High-risk systems need the full apparatus: risk management, data governance, monitoring, and human oversight. Match the control intensity to the risk level.

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About the author

Martin Dean

Chief Technology Officer

CTO of Standard Intelligence. Leads platform engineering and contributes to the PIG series technical content.

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Building an AI Governance Framework for Regulated Organisations