We provide independent assessment of AI/ML systems in production or pre-production as control objects: data lineage, model lifecycle, evaluation evidence, transparency and human oversight — with residual risk you can show to risk committees and supervisors. Hardening, monitoring design and remediation support are offered only as a separate advisory engagement; when an independent assurance opinion is required, assessment and advisory roles are segregated.

What this covers
  • System boundary, data-flow and oversight mapping
  • Controls across data, model lifecycle and evaluation evidence
  • AI/ML risk assessment and gap analysis
  • Prioritised remediation recommendations for client-owned action
  • Optional advisory hardening or monitoring design under a separate engagement
  • Optional independent verification after remediation
Typical outcomes

Documented AI risk picture; control and oversight evidence; prioritised remediation recommendations. Optional advisory hardening under a separate, independence-aware scope.

When to engage

Institutions needing independent assessment of production or pre-production AI/ML under transparency, safety or supervisory expectations — without conflating assessor and implementer roles.

Reference frameworks for this engagement:
  • ISO/IEC 42001
  • GDPR
  • NIS2
Practitioner credentials for this engagement:
  • CDPSE
  • CISM
  • ISO 42001 LI
  • CISSP

Describe the AI system and its operating context. We will propose an assurance approach and, if needed, a separate advisory scope that preserves independence.

Contact us