A4Q AI Compliance

Understand AI Compliance & the EU AI Act

• Define AI in the regulatory context and understand how the EU AI Act scopes and structures obligations.
• Identify roles, responsibilities, and implementation timelines.
• Recognize prohibited AI practices and understand enforcement mechanisms and sanctions under the EU AI Act.
• Understand how AI Act requirements interact with GDPR, product safety law, and sector-specific regulations.

Apply the Risk-Based Approach & Classification

• Classify AI systems into unacceptable, high, limited, and minimal risk. 
• Apply Annex III and qualitative criteria to identify high-risk systems.
• Reassess risk as systems change or scale. 

Implement High-Risk System Obligations

• Apply mandatory requirements: risk management, data governance, documentation, logging, transparency, human oversight, cybersecurity, and robustness.
• Prepare audit-ready technical documentation and evidence aligned with Annex IV.
• Understand how obligations apply to domains like HR, finance, and public services. 

Design AI Risk Management & Management Systems

• Apply the AI-specific risk management cycle based on the EU AI Act and ISO/IEC 23894.
• Embed AI governance into existing QMS/ISMS/DSMS frameworks.
• Maintain risk registers, controls, and compliance evidence. 

Manage Conformity Assessment, CE Marking & Transparency

• Understand internal vs. external conformity assessments and when notified bodies are required.
• Support CE marking, declarations of conformity, and EU registration.
• Apply transparency and labeling duties for limited-risk systems (chatbots, biometric categorization, generative AI).

Govern General-Purpose AI (GPAI) & Systemic Risk

• Understand GPAI provider and deployer obligations (transparency, documentation, testing, copyright, incident reporting).
• Use due diligence checklists to assess external foundation models.
• Build internal policies for the safe and compliant use of generative AI.

Conduct FRIA & Post-Market Monitoring

• Perform Fundamental Rights Impact Assessments (FRIA) and align them with DPIAs and sectoral risk assessments.
• Create post-market monitoring procedures and serious-incident reporting processes.
• Apply monitoring insights to continuous improvement and compliance updates.

Build AI Governance, Ethics & Global Interfaces

• Establish governance roles, committees, and escalation channels.
• Apply voluntary governance (ethical AI, CSR, ESG) and international ethics frameworks (OECD, UNESCO).
• Navigate cross-border regulation, export control, IP/licensing, and global supply-chain risk.

“AI delivers value. But without strong governance, clear accountability, and documented controls, it quickly becomes a regulatory and organizational risk.”

Who will benefit from the A4Q AI Compliance Certification?

This certification is ideal for professionals involved in AI systems where regulatory, ethical, or high-risk considerations matter, including:

• AI Compliance Officers, legal specialists, DPOs interpreting the EU AI Act and related frameworks.
• Risk, audit, and governance professionals designing controls and assurance processes. 
• Product owners, project managers, and architects working on high-risk or regulated AI systems.
• Procurement and vendor-management teams assessing AI systems and GPAI providers.
• Public sector managers and policy owners responsible for AI-supported decision-making and FRIAs.
• Leaders in CSR, ESG, and digital transformation embedding trustworthy and responsible AI.

It also complements other certifications, providing a natural next step after foundational AI literacy and governance qualifications, including the A4Q Essentials and A4Q AI Foundation.