Complete EU AI Act Compliance Guide
Navigate AI regulation with confidence. Mitigate €35M+ penalty risks while maintaining operational flexibility. Comprehensive guidance for CTOs, compliance officers, and operations leaders.
Why EU Companies Need This Now
The EU AI Act creates binding obligations. Most companies lack proper AI documentation, creating regulatory exposure and stakeholder uncertainty.
Regulatory Risk
Non-compliance penalties up to €35M or 7% of turnover. Core provisions phase in through 2027.
Stakeholder Trust
Investors, customers, and partners increasingly require documented AI governance and risk controls.
Operational Uncertainty
Without clear policies, employees lack guidance on appropriate AI use, creating inconsistent practices.
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Top 10 Actions to Start Immediately
- Map Your AI Uses – Inventory all AI and automated tools used internally or in products, with their purpose and data involved
- Classify Risk Levels – Determine if each use is minimal risk, requires transparency obligations, or could be high-risk under the AI Act
- Check for Prohibited Practices – Ensure no AI uses fall into banned categories like social scoring or unlawful surveillance
- Apply Transparency Requirements – Implement clear disclosures so users know when AI is involved in interactions or content
- Prepare for High-Risk Obligations – If using AI in sensitive areas (employment, biometrics), verify vendor certifications and set up oversight
- Strengthen Data & Privacy Protections – Ensure GDPR compliance, minimize data fed to AI, conduct impact assessments for high-risk processing
- Implement Security Measures – Control access, prevent data leaks, log AI activities, follow cybersecurity best practices
- Vet Your AI Vendors – Perform due diligence on third-party AI services, ensure GDPR-compliant terms and transparency about models
- Train and Guide Employees – Develop internal AI usage policies and training programs covering appropriate vs. risky AI uses
- Monitor and Adapt – Establish ongoing monitoring of AI outputs, enable feedback channels, plan periodic reviews as regulations evolve
What's Inside the Guide
Comprehensive coverage from fundamentals to implementation
EU AI Act Fundamentals
Risk-based framework, key definitions, provider vs. deployer roles, and what applies when
Risk Classification
Detailed guidance on minimal, limited, high-risk, and prohibited AI uses with practical examples
Compliance Obligations
What you must do based on your role: transparency duties, high-risk requirements, and documentation needs
GDPR Alignment
How AI Act intersects with data protection law, lawful basis requirements, and privacy controls
Security & NIS2
Cybersecurity measures for AI systems, access controls, data leak prevention, and incident response
Vendor Due Diligence
How to evaluate AI service providers, contractual requirements, and certification validation
Implementation Blueprint
Step-by-step process: inventory, risk assessment, controls by risk level, monitoring, and improvement
Policy Templates
10+ ready-to-use templates including AI usage policy, risk assessment forms, and vendor checklists
Practical FAQs
Common questions answered: ChatGPT usage, hiring AI, content labeling, vendor trust, and more
Who This Guide Is For
- CTOs and IT leaders responsible for technology governance
- Compliance and legal officers managing regulatory obligations
- Operations managers overseeing AI tool deployment
- Mid-sized EU companies using AI tools (not primarily developing them)
- Non-lawyer professionals who need practical, actionable guidance
What You'll Be Able to Do
After reading this guide, you'll have the knowledge and tools to implement compliant AI governance
Understand Your Obligations
Know precisely what the AI Act requires based on how your organization uses AI
Classify AI Risks
Systematically assess which AI uses need what level of controls and documentation
Create Internal Policies
Build comprehensive AI usage policies using proven templates and frameworks
Evaluate Vendors
Conduct proper due diligence on AI service providers with structured checklists
Implement Controls
Deploy appropriate safeguards for data protection, security, and human oversight
Build Stakeholder Trust
Demonstrate to investors, customers, and regulators that AI is used responsibly
Get Instant Access
Enter your email to receive immediate access to the comprehensive 118-page AI governance guide.