How ethical AI certification works
We assess responsible AI understanding and governance evidence across seven pillars, then guide teams towards certification.
Our five-stage ethical AI certification pathway is a cycle of continuous improvement. If our assessment reveals governance or compliance gaps, we help your team close them before certification.
Onboard
We learn how your organisation designs, deploys, and governs AI in day-to-day operations.
Assess
Review
Educate
Certify
Onboard
We learn how your organisation designs, deploys, and governs AI in day-to-day operations.
Seven pillars of ethical AI certification
Each pillar has tailored assessment paths for technical, business, leadership, and governance roles.
Governance
Clear accountability structures and decision-making processes for AI systems.
Technical
Robust, secure, and well-documented AI implementations.
Ethical
Fair, unbiased AI that respects human rights and dignity.
Compliance
Adherence to relevant laws, regulations, and industry standards.
Culture
Organisation-wide awareness and commitment to responsible AI.
Environmental
Sustainable AI practices that minimise environmental impact.
Economical
Transparent, fair value exchange in AI-driven services.
See ethical AI in action
Read real-world case studies on governance failures, compliance risks, and what responsible AI looks like in practice.