Certified AI Quality Management System Manager
(High-Risk AI Systems)
CAIQMSM Candidate's Guide

Copyright 2026 - AI Assurance Institute. All rights reserved.

Table of Contents

1. Introduction to the CAIQMSM Certification

The Certified AI Quality Management System Manager (CAIQMSM) credential is awarded to professionals who demonstrate mastery in establishing, implementing, maintaining, and continually improving a Quality Management System (QMS) for high-risk AI systems in compliance with the EU Artificial Intelligence Act (Regulation (EU) 2024/1689) and the harmonized standard EN 18286:2025.

This certification validates expertise in protecting health, safety, and fundamental rights throughout the AI system lifecycle, from inception to post-market monitoring, and regulatory compliance with the AI Act. It is designed for individuals responsible for QMS ownership in organizations developing, deploying, or overseeing high-risk AI systems.

The CAIQMSM is offered by the AI Assurance Institute to meet the growing demand for qualified professionals capable of operationalizing regulatory compliance.

2. Purpose and Value of the Certification

The rapid adoption of high-risk AI systems in sectors such as healthcare, finance, justice, and critical infrastructure has created an urgent need for robust quality management frameworks. The EU AI Act mandates providers to implement QMS processes that ensure conformity with essential requirements, including risk management, data governance, transparency, human oversight, and post-market monitoring.

The CAIQMSM certification:

• Validates comprehensive practical knowledge of EU AI Act requirements.
• Demonstrates ability to integrate QMS with technical AI development and deployment.
• Provides evidence of competence in lifecycle compliance, audit preparation, and regulatory interaction.
• Enhances professional credibility with employers, regulators, and notified bodies.

Certified holders are equipped to serve as authoritative QMS managers, leading cross-functional teams and ensuring presumption of conformity under the EU AI Act.

3. Eligibility Requirements

Candidates must meet one of the following combinations of education and experience:

Option A

• Bachelor's degree or higher in a relevant field (e.g., engineering, computer science, quality management, law).
• Minimum 4 years of professional experience in quality management, compliance, or AI governance, with at least 2 years involving regulated systems (e.g., medical devices, aerospace, or high-risk AI).

Option B

• No degree requirement.
• Minimum 8 years of professional experience in quality management or compliance, with at least 4 years in regulated environments or AI-related roles.

All candidates must attest to adherence to the CQMSM Code of Ethics and provide evidence of continuing professional development (e.g., training in EU AI Act or EN 18286).

4. Examination Overview

The CQMSM examination is a 3-hour, 150-question multiple-choice test delivered online via proctored platform.

Passing Score: 70% (105/150 correct answers)

Languages: English (additional languages pending)

Retake Policy: One free retake within 12 months; subsequent attempts require new application fee.

The exam tests application of knowledge rather than rote memorization, including scenario-based questions requiring analysis of QMS processes, risk scenarios, and regulatory decisions.

5. Body of Knowledge and Domains

The CAIQMSM Body of Knowledge is structured around the clauses of EN 18286:2025, with emphasis on practical implementation as detailed in the Quality Management System Manager role description. The examination allocates questions approximately as follows:

Domain 1: Context, Scope, and Regulatory Strategy (15%)

Candidates must demonstrate understanding of establishing the QMS foundation per Clause 4, including analyzing organizational context, identifying regulatory requirements, determining QMS scope, and maintaining documented information.

Domain 2: Leadership, Policy, and Roles (15%)

Candidates must show proficiency in management responsibility per Clause 5, including ensuring resource availability, establishing quality policy, and assigning roles, responsibilities, and authorities.

Domain 3: Planning - Risks, Opportunities, and Objectives (15%)

Candidates must apply planning requirements per Clause 6, including determining risks/opportunities and establishing verifiable quality objectives.

Domain 4: Support - Resources, Competence, and Communication (15%)

Candidates must understand support elements per Clause 7, including determining resources, competencies, and managing communications.

Domain 5: Operation - Design, Development, and Controls (25%)

Candidates must master operational requirements per Clause 8, including establishing the risk management system, defining lifecycle stages, managing data lifecycle, and preparing technical documentation.

Domain 6: Performance Evaluation and Improvement (15%)

Candidates must apply evaluation and improvement per Clauses 9-10, including post-market monitoring, serious incident reporting, and continual improvement.

6. Examination Format and Scoring

• 150 multiple-choice questions (4 options, single correct answer).
• No negative marking.
• Results provided immediately.

7. Preparation Resources

Recommended study materials:

• EU AI Act full text and official explanatory documents.
• EN 18286 (available through national standards bodies).
• AI Assurance Institute QMS Manager job practice areas.

Optional preparation courses:

• AI Assurance Institute 5-day CAIQMSM Prep Course (virtual).
• Self-paced e-learning modules covering all domains.

Practice exams available through candidate portal.

8. Application Process

1. Pay examination fee (€200 standard).
2. Certificate awarded to successful candidates.

9. Code of Ethics and Professional Conduct

CAIQMSM holders shall:

• Act with integrity and objectivity.
• Maintain competence through continuing education.
• Comply with all applicable laws and regulations.
• Protect confidential information.
• Report serious violations of the EU AI Act or professional standards.

Violations may result in certification revocation.

10. Recertification and Maintenance

Certification valid for 3 years. Recertify by:

• Earning 60 Continuing Professional Education (CPE) credits, OR
• Retaking the examination.

Credits awarded for training, teaching, publications, or professional contributions related to AI QMS.

11. Contact Information

AI Assurance Institute - Certification Office
Email: certification@aiassurance.institute
Website: www.aiassurance.institute

This guide equips candidates with the information needed to achieve CAIQMSM certification and demonstrate leadership in AI quality management system compliance. Success in the examination confirms readiness to serve as an authoritative QMS owner for high-risk AI systems under the EU AI Act framework.