AI use is fragmented
Teams are adopting copilots, AI-enabled software and external models without one controlled view of ownership, purpose or risk.
We help organisations design and implement a practical Artificial Intelligence Management System (AIMS) aligned with ISO/IEC 42001 — from first gap assessment through implementation, internal assurance and readiness for independent certification.
ISO/IEC 42001 becomes relevant when AI use moves from isolated experimentation to something customers, leadership, regulators, auditors and employees expect the organisation to govern systematically.
Teams are adopting copilots, AI-enabled software and external models without one controlled view of ownership, purpose or risk.
Enterprise clients increasingly want defensible answers about how AI is approved, monitored, challenged and controlled.
A policy exists, but there is no repeatable workflow for risk, impact, suppliers, incidents, change, evidence or oversight.
The organisation needs a structured path from its current controls to an implemented and auditable AIMS.
Our role is to help convert ISO/IEC 42001 requirements into responsibilities, decisions, controls and evidence that fit how your organisation actually develops, procures and uses AI.
Context, interested parties, boundaries, dependencies, priorities and a sequenced implementation plan.
A controlled view of AI systems and use cases, intended purpose, owners, suppliers, users and affected stakeholders.
Policies, roles, approval points, escalation routes, objectives and leadership accountability.
Practical methods for AI risk assessment, treatment, human oversight and system-level impact assessment.
Lifecycle, change, data, supplier, incident, monitoring, transparency and evidence processes.
Internal audit, management review, corrective action and evidence preparation before independent certification.
We can support the full AIMS build or a defined work package where your internal team already has substantial capability.
Review current governance, AI use, existing management systems and evidence. Define scope and priority gaps.
Typical outputsDesign the governance model, inventory, risk and impact workflow, policies, procedures and control ownership.
Typical outputsPut processes into use across real AI use cases and build the evidence that shows controls are functioning.
Typical outputsChallenge the system before external audit and help leadership close implementation or evidence gaps.
Typical outputs42001 is useful whether your organisation builds AI, buys it, embeds it in products, or uses it inside everyday business processes.
Build defensible governance around product development, model use, data, lifecycle controls and customer assurance.
Bring third-party AI, copilots, automation and business use cases into a common governance system.
Integrate AIMS with information security, privacy, quality, enterprise risk, procurement, audit and management review.
Strengthen governance where AI can materially affect people, safety, employment, access, decisions or professional judgement.
SS ISO/IEC 42001:2024 is Singapore's identical adoption of ISO/IEC 42001:2023. For organisations here, the opportunity is to connect international AIMS requirements with the governance, assurance and AI testing practices already developing in Singapore.
We translate the standard into a practical operating model — with emphasis on scope, ownership, AI inventory, risk, impact, human oversight, supplier governance, evidence and continual improvement.
We do not treat ISO/IEC 42001 as a generic compliance checklist. The consultancy is structured around how AI governance needs to operate at leadership, management-system and individual AI-system levels.
Reuse mature security, quality, privacy, risk and audit processes where they already work.
Address the organisational consequences of AI, including human oversight, judgement, accountability and work design.
Connect organisation-wide AIMS governance with structured assessment of impacts from specific AI systems.
We help you implement and prepare. Your certification decision and certification body remain independent.
Leadership, policies, objectives, accountabilities, resources, operational controls, audit and continual improvement.
Structure the assessment of intended and unintended impacts of particular AI systems on people, groups and society.
Explore 42005.ai ↗Use the free readiness check for a directional view, or send us your current situation for a consultancy scoping discussion.
A focused first engagement to establish what already exists, what can be reused, what is missing and what should happen next.
Request a scoping discussion →It can cover readiness and gap assessment, AIMS scope, AI inventory, governance structure, policy and objectives, AI risk and impact methods, operational controls, supplier governance, competence, evidence, internal audit, management review and certification readiness.
No. A strong implementation starts by identifying what can be integrated with existing information security, privacy, quality, procurement, enterprise risk, incident, audit and management review processes.
No. Consultancy and certification should remain independent. We support implementation and readiness for an audit conducted by the certification body you select.
No. ISO/IEC 42001 is also relevant to organisations that use AI-enabled products or services, including third-party AI and AI embedded in operational or professional workflows.
ISO/IEC 42001 provides the organisational management-system structure. ISO/IEC 42005 provides a structured approach for AI system impact assessment, helping connect enterprise governance with the consequences of specific AI systems.
Tell us where your organisation is today, what AI is in scope and whether certification is part of the objective.
Discuss your AIMS ↗