ISO/IEC 42001 Readiness Assessment
Can your AI governance operate as a repeatable management system?
Assess readiness for an AI Management System and identify governance, control, evidence and continual improvement gaps before formal certification or improvement planning begins.
ISO 42001 Readiness Is About Operationalising AI Governance
Policies and principles are useful, but ISO/IEC 42001 readiness depends on whether AI systems are identified, risks are assessed, controls are evidenced and the AI Management System is continually improved.
AI System Inventory
Understand which AI systems, models, suppliers and use cases fall within the scope of the AI Management System.
AI Risk Assessment
Assess AI risks, impacts, opportunities and treatment activities using a structured and repeatable approach.
Human Oversight
Evaluate accountability, decision authority, transparency and human intervention mechanisms.
Continual Improvement
Demonstrate monitoring, review, corrective action and ongoing improvement of AI governance.
Assess The Building Blocks Of An AI Management System
Enien helps organisations assess readiness across ISO/IEC 42001 management system requirements and the operational AI governance controls needed to make the system work in practice.
Four ISO 42001 Readiness Gaps
AI management system readiness often fails where AI governance does not yet cover inventory, impact, oversight and evidence in a consistent way.
AI Inventory Gap
Organisations often lack a complete inventory of AI systems, suppliers, models and business use cases.
AI Risk & Impact Gap
AI risks, bias, transparency and societal impacts may not be assessed consistently across the organisation.
Human Oversight Gap
Accountability, escalation routes and human intervention mechanisms may be unclear or inconsistently applied.
Evidence & Audit Gap
Policies exist but organisations cannot demonstrate evidence, monitoring results or continual improvement activities.
From Policy To Management System
ISO 42001 readiness is about moving from static policy statements to a living AI Management System that governs AI systems across their lifecycle.
Identify
Confirm AI systems, use cases, suppliers, interested parties and scope.
Assess
Evaluate AI risks, impacts, opportunities and required treatment actions.
Control
Apply lifecycle controls, human oversight, transparency and accountability measures.
Monitor
Review performance, incidents, audit findings and management information.
Improve
Track corrective actions and strengthen the AI Management System over time.
Assess Readiness Across ISO/IEC 42001 Clauses And Annex A Controls
Enien helps organisations assess both the management system requirements and the AI-specific controls needed to govern AI responsibly.
Clauses 4–6
Context, interested parties, leadership, AI policy, planning, risks and objectives.
Clauses 7–8
Support, competence, awareness, communication, documented information and AI lifecycle operation.
Clauses 9–10
Monitoring, measurement, internal audit, management review, nonconformity and continual improvement.
Annex A Governance Controls
Assess AI policies, responsibilities, resource management, impact assessment, data, transparency and accountability controls.
Annex A Operational Controls
Review controls for AI system lifecycle activity, third-party AI, monitoring, incident handling and improvement evidence.
Turn ISO 42001 Readiness Into Improvement Priorities
Enien transforms structured responses into governance intelligence so organisations can understand clause readiness, Annex A control gaps, AI lifecycle evidence needs and corrective action priorities before formal certification planning.
