Role Definition
Who owns AI in your organisation?
What you get
"Accountability before deployment."
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RACI matrix for AI governance
Responsibility assignment across all AI-related decisions: model deployment, risk review, incident response, regulatory reporting.
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Role specifications
Job-ready descriptions for each AI governance role, including responsibilities, required competencies, and authority boundaries.
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Article 26 oversight designation
Documentation of the human oversight function required under the EU AI Act for high-risk AI systems, ready for regulatory review.
Who it's for
The AI governance owner.
Accountable for AI governance. Needs clear ownership defined before auditors or regulators ask who is responsible for what.
Responsible for the people and structures that will carry AI accountability. Needs role specifications that can be recruited or assigned to.
Responsible for regulatory exposure. Needs Article 26 oversight designation documented and defensible before the August 2026 deadline.
What comes next
From roles to structure.
AI Team Design
→From role definitions to the team configuration that brings them to life.
AI CoE Design
→Build the centre of excellence structure that gives AI governance roles a home and mandate.
Compliance Audit
→Verify that the roles you've defined meet the Article 26 requirements your auditor will test.
Ready to establish clear AI ownership before your regulator asks?
Every engagement starts with a short conversation. No commitment, just specifics.
Let's talk →