Practice 02 · AI Assurance
Test the claim—not the appearance of capability.
Independent examination of AI systems and the controls around them: what the evidence supports, what cannot be reconstructed, and who remains accountable.
Examination, not certification.
Certification asks whether a management process conforms to a standard. Zemi North asks whether the evidence supports the claims made about a specific system or decision—the question that matters in an incident, dispute, procurement, or decision to rely.
- 01
AI governance and readiness
Policies, risk assessments, procurement reviews, and governance controls designed to be operated—and defended—by real organizations.
- 02
AI incident investigation
Reconstruct what a system did using available prompts, logs, outputs, configuration, and independent sources. Examine improper disclosure, misuse, or AI-assisted fraud.
- 03
AI-assisted decision examination
Determine whether an automated or AI-assisted decision can be traced, reproduced, explained, and supported by evidence.
- 04
Synthetic-media assessment
Structured evaluation of authenticity claims and limitations. No single detector is treated as conclusive evidence.