AI Governance Gap Assessment Against ISO/IEC 42001
An ISO/IEC 42001 readiness assessment tests whether an organisation's stated AI governance is supported by operating roles, processes, evidence and continual improvement within a defined scope. It then converts each design, operation or evidence gap into an implementation decision. If the organisation seeks certification, an independent external certification body must conduct the certification audit.
Understand what ISO/IEC 42001 assesses
ISO/IEC 42001 is a management-system standard for organisations that develop, provide or use AI systems. It addresses how the organisation establishes responsibilities, objectives, processes and continual improvement around AI risks and opportunities. However, the standard does not certify that every model is accurate, safe, unbiased or suitable for every use.
The distinction between a management-system assessment and certification of an individual AI model determines the review scope. A readiness review must examine the organisational system through which AI is approved, operated, monitored and improved. Evidence about individual systems remains necessary, but it is part of a wider arrangement of leadership, ownership, risk management, competence, documentation, review and corrective action.
Decide why the organisation is using the standard
An organisation can implement ISO/IEC 42001 without seeking certification. Management may want a consistent internal system, stronger evidence for customers and procurement, integration with existing management systems, or preparation for an external certification audit.
The organisation's reason for using ISO/IEC 42001 affects the assessment scope and priorities. An organisation seeking internal improvement may prioritise the highest-consequence gaps first. An organisation preparing for certification must also establish the defined scope, required documented information, internal audit, management review and evidence that the system operates. The assessment should record the chosen objective rather than assuming that certification is the only meaningful outcome.
Define the scope of the AI management system
The organisation needs a clear boundary for the management system. The scope may cover the whole organisation or defined units, products, services or AI activities. It should reflect the organisation's role as a developer, provider or user and the relationships that affect its ability to manage AI.
A scope that is too broad may create a programme the organisation cannot operate. A scope that excludes material AI use can produce an orderly system around the least important activity. The assessment therefore begins with the business context, interested parties, applicable obligations, AI inventory, organisational boundaries and dependencies on suppliers or group functions.
Examine the current management system
The gap assessment should examine both design and operation. Relevant evidence can include:
- leadership accountability, policy and AI objectives;
- the inventory of AI systems, uses, owners and affected decisions;
- methods for identifying risks, opportunities and impacts;
- approval, development, acquisition, deployment, use and retirement controls;
- data, documentation, traceability and record-keeping arrangements;
- responsibilities, competence, awareness and communication;
- third-party selection, information rights, monitoring and change control;
- performance measures, incidents, complaints and corrective action;
- internal audit, management review and continual improvement; and
- connections with information security, privacy, quality, risk, compliance and operational management.
A policy can satisfy a documentation need while leaving the operating gap untouched. Interviews, records and examples of recent decisions help establish whether the described process is actually used.
Connect the inventory to risk and impact
The management system needs to distinguish AI uses by purpose, context and consequence. An assistant that drafts internal text does not require the same evidence and control as a system that affects customer access, employment, money, safety or a material operation.
The assessment examines whether the organisation can identify affected people and processes, assess possible impact, decide what level of evidence and oversight is proportionate, and revisit that decision when the system or context changes. ISO/IEC 23894 provides related guidance on AI risk management, while ISO/IEC 42005 addresses AI system impact assessment. Their application must still be adapted to the organisation and its AI uses.
Map obligations without confusing them with the standard
ISO/IEC 42001 can help an organisation structure how it identifies and manages applicable obligations. However, the standard does not replace those obligations or provide a legal opinion. UAE organisations may need to consider data protection, consumer, employment, sector, outsourcing, cybersecurity and contractual requirements according to the systems and activities in scope.
The readiness assessment records where those requirements enter the management system, who interprets them and what evidence the organisation retains. Appropriately qualified legal, regulatory, privacy and cybersecurity specialists remain responsible for specialist conclusions. Moreover, certification to the management-system standard does not by itself demonstrate compliance with every applicable rule.
Turn gaps into an implementation roadmap
A useful gap register explains more than whether a requirement appears present. Each finding should identify the current evidence, the missing or ineffective condition, the significance of the gap, the responsible owner and the action needed to close it.
Marketways groups actions into a practical sequence. The organisation may need to clarify scope and accountability before writing detailed procedures. It may need an AI inventory before it can apply risk classification. It may need evaluation and monitoring evidence before management can define continued-use criteria. Dependencies, resources and decision points should be visible so the roadmap reflects how the system will operate rather than producing a collection of disconnected documents.
Prepare evidence that the system operates
A management system cannot demonstrate readiness through policies alone. The organisation needs records showing that relevant AI uses have passed through the defined processes, that responsible people review performance and incidents, that material changes trigger reassessment and that owners complete corrective actions.
Internal audit and management review test whether the management system conforms to the organisation's arrangements and remains effective. Findings should be resolved through the organisation's own improvement process. If the organisation later seeks certification, an external certification body conducts that assessment. ISO develops the standard but does not certify organisations.
What the readiness assessment should deliver
Management should receive a defined scope, an evidence-based current-state assessment, a prioritised gap register and an implementation roadmap. The result should distinguish missing design, weak operation and insufficient evidence. It should also identify decisions that only management can make, including risk appetite, permitted use, accountability, resourcing and whether external certification is commercially or contractually worthwhile.
The assessment is complete when leaders can see what must change, why it matters, who owns each change and what evidence will show that the change operates. A percentage readiness score without this reasoning is unlikely to support implementation.
How Marketways supports ISO 42001 readiness
Marketways connects the standard-specific review to the organisation's actual AI systems, decisions and operating conditions. Marketways can provide scope definition, inventory review, stakeholder interviews, evidence assessment, process mapping, gap classification, governance design and the implementation roadmap.
AI Governance and Model Risk provides the broader service and implements accountability, risk classification, controls and monitoring. AI Agent Evaluation and Assurance is relevant when a material gap concerns evidence about a defined system. AI Vendor Selection is relevant when third-party requirements and due diligence must be built into an acquisition.
Marketways assesses readiness and helps the organisation design and implement its management arrangements. An accredited certification body must conduct the independent certification audit; legal interpretation, regulatory approval and specialist cybersecurity assurance remain outside this engagement.
Evidence needed to define the management-system scope
A readiness assessment must establish the chosen scope and compare it with the management system that actually operates. Relevant evidence includes the reason for using the standard, AI inventory, governance policies, organisation chart, risk and impact records, lifecycle procedures, supplier arrangements, evaluation evidence, incidents, performance reports, internal audit material and existing management systems. An incomplete inventory or immature process does not prevent an assessment. The assessment records that limitation as part of the current state.
Independence and scope
Marketways provides an independent readiness assessment against the published management-system standard. We do not represent a UAE or Dubai authority, regulator, public initiative or certification body. The page explains how an organisation can prepare its governance and evidence; it does not confer certification, regulatory approval or legal advice. The organisation should verify applicable requirements with its responsible authorities and accredited advisers.
