// ISO 42001 · AIMS CONSULTING
Make your AI management auditable
The world’s first AI Management System (AIMS) standard, in the EU AI Act and KVKK triangle. As an independent implementer, we provide end-to-end support from gap analysis to pre-certification review.
// Three core differentiators
Triangle positioning, bridge engineering, independent implementation
// 01
EU AI Act + KVKK + ISO 42001 Triangle
For Turkey-based companies, we integrate three regulations under a single consulting roof. Your existing KVKK compliance combines with EU AI Act risk classification and ISO 42001 AIMS structure under one methodology.
// 02
ISO 27001 → AIMS Bridge
ISO 42001 was designed to be built on top of ISO 27001. We leverage your existing information security management system investment, adding AIMS on top — saving time and cost on dual certification.
// 03
Independent Implementer
Accredited certification bodies cannot offer both consulting and certification to the same client due to impartiality rules. Kritera fills this gap as an independent implementer — compatible with whichever certification body you choose.
// Roadmap
Four-phase ISO 42001 journey
Gap Analysis
2-3 weeks
AIMS maturity scoring, ISO 42001 Annex A controls mapping, KVKK Data Controller Registry impact analysis, EU AI Act risk classification. Output: gap report and implementation roadmap.
AIMS Implementation
4-8 months
AI Governance Framework setup, model inventory, risk register, impact assessment (AIIA), explainability reporting flow, bias control procedures, training data management, third-party AI supply control.
Internal Audit
1-2 weeks
Impartial internal audit using ISO 19011 methodology. As Kritera is not a certification partner, audit results remain fully independent. Output: non-conformity report and corrective action plan.
Pre-Certification Review
1 week
A full dress rehearsal before the formal certification audit. Accredited body questions, documentation review, evidence chain validation. Increases certification success rate.
// Typical pitfalls
Five major reasons AIMS implementations fail
Lack of structural integration
AIMS is kept standalone, not connected to ISO 27001. Dual documentation, dual audits, increasing maintenance overhead.
No evidence of bias control
Bias tests are conducted but no traceable, repeatable, reportable evidence chain is established. At audit, raw outputs are presented instead of reports.
Model inventory not current
Pilot and PoC models are missing from the inventory, version changes are not recorded. Surprise models surface during the audit.
Third-party AI ignored
Vendor AI services such as Microsoft Copilot, AWS Bedrock, OpenAI API are not addressed within AIMS scope. Supply chain remains uncontrolled.
Incorrect AI Act risk classification
The system is labeled Limited risk but is actually High risk. Incorrect classification can lead to certification revocation and regulatory fines.
// Contact
Let’s discuss your ISO 42001 journey
In our free initial call, we clarify your current AI maturity, your EU AI Act risk classification, and your certification target. All conversations are subject to our KVKK privacy notice.