ISO 42001 AI System Inventory & Criticality Register

Purpose of this AI System Inventory & Criticality Register

The AI System Inventory & Criticality Register is a governance workbook designed to help an organization identify, classify, monitor, and evidence its AI systems in support of an ISO/IEC 42001-aligned Artificial Intelligence Management System, or AIMS.

This workbook translates that management-system intent into a practical operating register. It is not a replacement for the licensed ISO/IEC 42001 standard, legal advice, regulatory advice, or an auditor’s certification criteria. Instead, it provides a structured way to maintain documented information about AI systems, ownership, data use, lifecycle status, criticality, assessments, monitoring, reviews, evidence, and open issues.

How this Workbook Supports ISO/IEC 42001

ISO/IEC 42001 emphasizes a structured approach to AI governance, including responsible development and use, risk and opportunity management, traceability, transparency, reliability, documented information, monitoring, and continual improvement. The ISO overview also describes benefits including risk and opportunity management, responsible AI use, traceability, transparency, and reliability.

This workbook supports those outcomes by helping the organization maintain a clear inventory of AI systems and use cases, assign accountability, determine which systems are in scope for the AIMS, prioritize governance effort based on criticality, trigger risk or impact assessments, link control evidence, and track review status over time.

Key Features

• AI System Inventory Register for documenting AI systems, models, tools, and use cases
• Criticality Scoring Model based on business, safety, privacy, security, fairness, financial, and reversibility impact
• Dashboard summarizing total systems, critical systems, review status, assessment triggers, and governance priorities
• Control Evidence Tracker for linking AI risk assessments, impact assessments, validation reports, privacy reviews, security reviews, model cards, and monitoring evidence
• ISO 42001 Mapping to explain how the register supports AI management system practices
• Built-in Dropdown Lists for consistent data entry and easier filtering
• Assessment Triggers for AI risk assessment, AI impact assessment, legal review, privacy review, security review, and supplier review
• Review Management Fields for last review date, next review due date, review status, monitoring frequency, and residual risk
• Governance Ownership Fields for business owner, technical owner, data owner, control owner, and accountable executive
• Configurable Excel Format that can be adapted to your organization’s AI governance framework

What’s Included

This Excel workbook includes:

1. Dashboard
   A visual overview of AI inventory status, high-priority systems, overdue reviews, production systems, missing ownership, and governance actions.
2. AI System Register
   The core register for documenting AI systems, AI-enabled business processes, GenAI tools, machine learning models, and third-party AI services.
3. Control Evidence Tracker
   A structured tracker for audit evidence, control documentation, assessment records, review artifacts, and assurance materials.
4. Scoring Model
   A practical criticality scoring framework to help prioritize AI governance effort based on risk and impact.
5. ISO 42001 Mapping
   Guidance notes showing how the workbook supports AI management system practices without reproducing copyrighted ISO standard text.
6. Lists / Dropdown Values
   Standardized dropdown values for lifecycle stage, criticality tier, deployment status, review status, evidence status, residual risk, and more