Loading...
Partner with us to unlock the full potential of your digital journey. Our experts are ready to help you innovate, scale, and succeed.
Build an AI Management System that satisfies regulators, reassures boards, and lets your teams ship AI faster—without losing control.
EU AI Act ready
Mapped to Art. 9/10/15/17
Control coverage
PDCA end-to-end
Acceleration
Reuse 27001/27701
Readiness Quiz
Check your AI Governance Readiness
Do you maintain an AI use-case and model inventory with owners?
Boards are now accountable for AI risk oversight—42001 gives directors auditable proof of duty-of-care over AI systems.
Protect reputation by standardizing fairness, transparency, robustness, and incident playbooks across all AI products.
Stay ahead of regulation: 42001 natively maps to EU AI Act risk classes and integrates with sector guidance.
Accelerate GenAI safely—govern model inventory, data lineage, and human-in-the-loop before scaling.
Standards Stack
How 42001 wraps 27001 & 27701
ISO/IEC 27001 (Security)
ISO/IEC 27701 (Privacy)
ISO/IEC 42001 (AI Governance)
AI Management System wraps around security and privacy to govern AI-specific risks.
27001 secures infrastructure, 27701 governs personal data, and 42001 layers AI-specific controls for fairness, transparency, and safety—one integrated management system.
We operationalize the full management system lifecycle.
Define intent, risk appetite, and scope
Establish AIMS charter, context, roles, and AI risk taxonomy aligned to business objectives.
Embed controls across the AI lifecycle
Operationalize governance in data, model, and deployment workflows.
Monitor, audit, and prove performance
Continuous monitoring of model behavior, bias, drift, and incidents with internal audits.
Improve and industrialize
Close gaps, update controls, and evolve the AIMS with lessons learned.
Gap Analysis
2-3 weeksAssess current AI governance, data/ML pipelines, and controls vs. ISO/IEC 42001 clauses.
Outcome: Prioritized remediation backlog with quick wins and critical risks flagged.
Framework Design
3-4 weeksDesign AIMS architecture, RACI, policies, and SoA mapped to existing ISO 27001/27701 controls.
Outcome: Signed-off AIMS blueprint and control catalogue.
Implementation
8-16 weeksRoll out controls across data, model, and deployment lifecycle; instrument monitoring.
Outcome: Operationalized controls with evidence captured.
Internal Audit
2 weeksIndependent audit of the AIMS to verify readiness and close NCRs.
Outcome: All non-conformities resolved with CAPA tracked.
Certification
4-6 weeksSupport during Stage 1/2 external audit, evidence prep, and assessor liaison.
Outcome: Certification decision with sustained AIMS operating cadence.
Estimator
Time-to-Certification
Company size
AI maturity
Accelerators
Projected timeline
7 months
Target certification window: Sep 19, 2026
Show auditors and customers exactly how 42001 aligns.
NIST AI RMF
Govern (GV)
AIMS governance, roles, and oversight map to GV outcomes; management review satisfies accountability evidence.
Map (MAP)
AI inventory, context setting, and risk classification align to MAP 1.1–1.4 with traceability artifacts.
Measure (ME)
Bias, robustness, drift, and security evaluations operationalize ME outcomes with documented thresholds.
Manage (MAN)
SoA, CAPA, and release gates ensure risk treatment and residual risk sign-off per MAN outcomes.
EU AI Act
Art. 9 Risk Management System
ISO 42001 clauses 6 & 8 structure the AI risk cycle with evidence for auditors.
Art. 10 Data & Data Governance
Data quality, lineage, bias controls, and documentation mirrored in AIMS data controls.
Art. 15 Accuracy, Robustness, Cybersecurity
Model validation, adversarial testing, and monitoring satisfy performance obligations.
Art. 17 Quality Management System
The AIMS itself is the QMS covering procedures, roles, and continuous improvement.
Answers teams, auditors, and boards ask most.
How does ISO 42001 relate to the EU AI Act?
ISO 42001 operationalizes many Act obligations: risk management (Art.9), data governance (Art.10), quality management (Art.17), and monitoring/post-market reporting. It provides auditable proof of compliance readiness.
Is ISO 42001 mandatory?
No, but it is rapidly becoming the preferred evidence framework for regulators, customers, and insurers to demonstrate trustworthy AI controls.
How long does certification take?
Typical mid-size organizations complete in 4–7 months depending on AI maturity and whether ISO 27001/27701 controls already exist.
Can we leverage our ISO 27001/27701 work?
Yes—security and privacy controls map directly. We reuse your ISMS/PIMS assets to reduce net-new effort and shrink audit scope.
Does it cover Generative AI?
Yes—model cards, dataset governance, prompt injection defenses, and human oversight are explicitly integrated into the AIMS control set.
Focused ISO/IEC 42001 advisory and audit support.
ISO/IEC 42001:2023
AIMS Gap Analysis & Readiness Assessment
Evaluate your current AI governance, policies, and controls against ISO/IEC 42001:2023 requirements to identify gaps and roadmap for certification.
ISO/IEC 42001:2023
AIMS Implementation Support
End-to-end guidance to establish your AI Management System (AIMS), including policy development, control design, and process integration.
ISO/IEC 42001:2023
AI Risk Assessment (ISO/IEC 23894)
Conduct rigorous AI-specific risk assessments aligned with ISO 23894 to identify safety, security, and fairness risks.
Schedule a working session with our ISO 42001 lead auditors and architects to map your fastest path to certification.