Your 8-Step Path to AI Act Compliance
Complete implementation roadmap for achieving AI Act compliance. From risk classification to post-market monitoring, this guide walks you through every requirement with practical timelines and expert guidance.
AI Act Implementation Timeline
The AI Act is being phased in gradually. Prohibited AI is already banned, while high-risk systems have until August 2026 for full compliance. Most implementations require 6-18 months.
Aug 2024
Prohibited AI Banned
Aug 2025
GPAI Models
Aug 2026
High-Risk AI
Aug 2027
Legacy Systems
Complete AI Act Implementation Roadmap
Follow these 8 proven steps to achieve full AI Act compliance. Each step builds on the previous one, ensuring you create a comprehensive AI governance program that protects fundamental rights and meets regulatory requirements.
1. Classify Your AI System Risk Level
Determine which of the four risk categories applies to your AI system
Key Actions
- Review prohibited AI practices (social scoring, subliminal manipulation, etc.)
- Check if your AI system appears on the high-risk applications list
- Assess if your system requires transparency disclosures
- Document your risk classification with supporting rationale
Available Tools
Real Examples
2. Establish AI Governance Framework
Set up organizational structures for AI oversight and accountability
Key Actions
- Designate AI governance roles and responsibilities
- Create AI risk management policies and procedures
- Establish AI system inventory and lifecycle tracking
- Implement human oversight mechanisms for AI decisions
Available Tools
Real Examples
3. Implement High-Risk AI Requirements
Apply strict compliance measures for high-risk AI systems
Key Actions
- Establish quality management system for AI development
- Implement robust testing and validation procedures
- Create comprehensive technical documentation
- Set up post-market monitoring and incident reporting
Available Tools
Real Examples
4. Ensure AI Transparency and Explainability
Make AI decision-making processes transparent to users and stakeholders
Key Actions
- Implement clear disclosure when users interact with AI
- Create explanations for AI decisions affecting individuals
- Develop user-friendly AI system information
- Establish processes for handling user questions about AI
Available Tools
Real Examples
5. Implement AI Data Governance
Ensure training data quality, bias mitigation, and privacy protection
Key Actions
- Establish data quality and bias assessment procedures
- Implement privacy-preserving data handling practices
- Create data lineage and provenance tracking
- Set up ongoing data monitoring and refresh processes
Available Tools
Real Examples
6. Complete Conformity Assessment
Demonstrate compliance through formal assessment and documentation
Key Actions
- Conduct internal conformity assessment procedures
- Prepare EU declaration of conformity
- Affix CE marking to high-risk AI systems
- Submit required notifications to authorities
Available Tools
Real Examples
7. Establish Post-Market Monitoring
Monitor AI system performance and report incidents to authorities
Key Actions
- Set up continuous performance monitoring systems
- Implement incident detection and reporting procedures
- Establish corrective action and system update processes
- Create regular compliance review and audit schedules
Available Tools
Real Examples
8. Maintain Ongoing Compliance
Keep up with evolving requirements and maintain compliance over time
Key Actions
- Monitor regulatory updates and guidance documents
- Update AI systems and documentation as requirements evolve
- Conduct regular compliance assessments and gap analyses
- Maintain relationships with regulators and industry groups
Available Tools
Real Examples
AI Act Quick Reference
Key risk levels, deadlines, and penalties at a glance
AI Risk Levels
- • Prohibited: Completely banned (social scoring)
- • High-risk: Strict requirements (hiring, healthcare)
- • Limited-risk: Transparency only (chatbots)
- • Minimal-risk: No requirements (games)
Key Deadlines
- • Aug 2024: Prohibited AI banned
- • Aug 2025: GPAI model requirements
- • Aug 2026: High-risk AI compliance
- • Aug 2027: Legacy system deadline
Maximum Penalties
- • Prohibited AI: €35M or 7% revenue
- • High-risk AI: €15M or 3% revenue
- • Product bans and recalls
- • Criminal liability possible
Supporting Tools and Resources
Everything you need to implement and maintain AI Act compliance