ISO 42001 Artificial Intelligence Management Systems (AIMS) Consulting

Your Path to ISO42001 Success & Confidence Through Compliance

Build, certify, and scale a responsible AI program—fast. Dreig helps teams design and implement ISO/IEC 42001:2023–conformant Artificial Intelligence Management Systems (AIMS) that withstand audits, reduce risk, and align with emerging regulation.

Who We Help

AI product teams, platform providers, data/ML organizations, regulated enterprises (health, finance, critical infrastructure), and public sector units operating or supplying AI systems across AU, US, EU/UK, and APAC.

Outcomes You Can Expect

  • Certification ready AIMS aligned to ISO/IEC 42001:2023 requirements for establishing, implementing,
    maintaining, and continually improving an AI management system

  • EU AI Act alignment plan (entry into force: 1 Aug 2024; general application from 2 Aug 2026; full effectiveness by
    2027)

  • Risk■based controls embedded using ISO/IEC 23894 guidance (integrated with ISO 31000 principles).

  • NIST AI RMF mapping to governance, map, measure, and manage functions (including GenAI profile).

  • Audit confidence through internal audits, CAPA, and management review discipline.

What We Deliver

  1. Readiness & Strategy
    – Gap assessment against ISO 42001 clauses 4–10 (context, leadership, planning, support, operation,
    performance evaluation, improvement).
    – AI risk posture review (data, models, suppliers, human oversight) using ISO/IEC 23894 + NIST AI RMF.
    – Regulatory roadmap (EU AI Act, sectoral obligations) with priorities and timelines.

  2. AIMS Build (or Rebuild)
    – Policy & manual set: AI policy, scope, roles, governance model, model lifecycle policy,
    humanintheloop/override, incident & escalation.
    – Core procedures & records: data sourcing/consent, dataset governance, model development/validation,
    bias/robustness testing, model cards, deployment & rollback, monitoring, logging, supplier management, change
    control, nonconformity & CAPA, internal audit, management review.
    – Assurance assets: risk register, impact assessments, transparency notices, user documentation, technical &
    organizational controls register.

  3. Implementation & Training
    – Standup of governance forums, risk & control owners, and KPI/KRI dashboards.
    – Training for execs, product, data science, engineering, legal/compliance, and support.
    – Pilot runs of incident response, model rollback, and supplier assurance.

  4. Certification & Market Access Support
    – Preassessment (‘mock audit’), evidence mapping to clauses 4–10, findings closure.
    – Liaison with certification bodies offering ISO 42001 audits

Our Consulting Approach

  • Assess (2–4 weeks): Evidence review, interviews, gap & risk analysis, roadmap.

  • Build (4–12 weeks): Draft/iterate AIMS manual, procedures, registers, and control set.

  • Embed (2–8 weeks): Train teams, run internal audits, close CAPA, tune metrics

  • Certify & Sustain: Preassessment, auditor liaison, quarterly governance cadence.

Framework & Regulation Alignment

  • ISO/IEC 42001:2023 — requirements for establishing, implementing, maintaining and continually improving an
    AIMS.

  • Clause structure mirrors modern ISO management systems (4–10).

  • ISO/IEC 23894:2023 — guidance to integrate AI risk management with ISO 31000.

  • NIST AI RMF 1.0 & GenAI Profile — voluntary, widely adopted risk framework; we map your AIMS controls to its
    functions.

  • EU AI Act — entry into force 1 Aug 2024; general date of application 2 Aug 2026; full effectiveness by 2027.

Example Deliverables

  • AIMS Manual + governance charter

  • Policy pack (AI policy, risk policy, transparency, human oversight, supplier)

  • Procedures: data governance, model development & validation, bias/robustness testing, deployment & rollback,
    monitoring, incident/CAPA, internal audit, management review

  • Registers: assets, risks, controls, suppliers, incidents, changes, models/versions

  • Templates: AI impact assessment, model card, data sheet, fairness & robustness test plans, transparency
    notices, user documentation

  • Audit toolkit: internal audit plan & checklists, objective evidence index, clause mapping

FAQs

What is ISO/IEC 42001? It’s the first international management system standard for AI, specifying how to
establish and continually improve an AIMS across the AI lifecycle.

How does ISO 42001 relate to ISO 27001? Structure is similar (clauses 4–10, PDCA). ISO 42001 focuses on AI
governance and risk, while ISO 27001 is for information security; they complement each other and can be
integrated.

Do certification audits exist now? Yes—recognized certification bodies offer ISO 42001 audits; we prepare you
to pass first time

Will this cover EU AI Act obligations? An AIMS provides governance, risk and documentation foundations. We
add an EU AI Act overlay so your artifacts and processes match phased legal requirements through 2026–2027.

How do you handle GenAI risks? We integrate NIST’s GenAI profile actions into your control set (data
provenance, content authenticity, prompt/finetune security, model misuse/abuse scenarios).

Let’s Make Compliance and Excellence Simple.

From industrial technology deployment to ISO compliance and strategic advisory, our experts simplify complexity guiding you from planning through execution.