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ISO/IEC 42001:2023

Artificial Intelligence Management System (AIMS)

ISO/IEC 42001:2023 – Artificial Intelligence Management System (AIMS)

Artificial Intelligence refers to software-driven systems that perform tasks typically requiring human intelligence (e.g., pattern recognition, prediction, decision-making). As AI embeds into products, services, and operations, organisations need structured, responsible ways to govern risk, quality, ethics, and compliance, without stifling innovation.

As the first international standard for an AI Management System, ISO/IEC 42001 sets out requirements to establish, implement, maintain, and continually improve governance of AI across its lifecycle. Built on PDCA and risk-based thinking, it integrates seamlessly with ISO 9001, ISO/IEC 27001 and ISO/IEC 27701. Focus areas include:

  • Context, leadership, roles, and accountability (AI governance committee, policies, objectives)
  • Risk & impact assessment (safety, fairness, bias, transparency, security, privacy)
  • Data governance and model governance (design, training, testing, deployment, monitoring, change control, decommissioning)
  • Operational controls (human oversight, documentation & traceability, incident management, supplier/third-party controls)
  • Performance evaluation, internal audit, management review, and continual improvement

Benefits of ISO 42001:2023:

Customer confidence & market access
Certification signals that your business meets global best practices, opening doors to new tenders and contracts.
Operational efficiency
Clear processes reduce rework, errors, and duplication, saving costs.
Competitive edge
Organisations certified are seen as more reliable partners.
Employee engagement
Staff understand their roles and how their work impacts quality outcomes.
Risk reduction
Proactive monitoring and continual improvement reduce the chance of failures.
Regulatory compliance
Supports adherence to local legal and industry requirements.

Implementation with WWISE

Our structured 4-phase approach simplifies ISO/IEC 42001 implementation:

Phase 1

Gap Analysis & Information Gathering

  • Inventory AI systems and use cases; map laws/obligations.
  • Assess current controls vs. ISO/IEC 42001; prioritise risks (ethics, bias, safety, privacy, security).

Phase 2

Documentation, Risk Assessment & Process Mapping

  • Develop AIMS policy, governance structure, roles, and objectives.
  • Create AI Risk & Impact Assessment templates

Phase 3

Implementation
& Training

  • Roll out controls across data, model, and operations 
  • Train executives, developers, and business users; run awareness on responsible AI.

Phase 4

Certification
Support

  • Conduct internal audits, readiness reviews, corrective actions
  • Support external certification audit and set up ongoing monitoring and improvement cycles.

We provide templates, toolkits, e-learning modules, and one-on-one mentorship so your team is confident in both certification and ongoing maintenance.

Why Choose WWISE

WWISE blends deep ISO expertise (27001/27701/9001/20000-1) with hands-on AI governance to deliver practical, audit-ready AIMS implementations that integrate with your existing controls and tools. Our accelerators—policies, risk/impact methods, lifecycle procedures, and training—compress timelines while keeping solutions tailored to your risk profile and sector. We’re vendor-neutral, results-driven, and trusted by organisations seeking measurable risk reduction, faster assurance, and lasting stakeholder confidence.

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