The EU AI Act is in force. Teams deploying AI must understand risk classification, prohibited practices, and transparency obligations. We prepare your organization for AI compliance.
Legislative structure, scope, timeline, and relationship with GDPR, product safety rules, and sector-specific regulations. Who is affected and when.
The four-tier risk framework: unacceptable, high, limited, and minimal risk. How to classify your AI systems and what obligations each level triggers.
Banned AI applications: social scoring, real-time biometric identification, emotional recognition in workplaces/education, and manipulative AI techniques.
Compliance obligations for high-risk systems: risk management, data governance, technical documentation, human oversight, accuracy, and robustness requirements.
Disclosure requirements for AI-generated content, chatbots, deepfakes, and emotion recognition. Labeling and notification obligations across risk levels.
Building organizational AI governance: roles and responsibilities, AI inventory, impact assessments, monitoring systems, and compliance documentation.
Fairness, accountability, transparency, and ethics in AI development. Bias detection, explainability methods, and human-centric AI design principles.
For AI and ML teams, product leaders, and compliance professionals who need to understand EU AI Act obligations and governance frameworks.
Data scientists, ML engineers, and AI developers who build and deploy AI systems subject to EU AI Act obligations.
Product managers, project leads, and executives who make decisions about AI adoption and deployment in their organizations.
Compliance officers, legal counsel, and DPOs who need to understand the intersection of AI regulation with existing frameworks like GDPR.
AI governance training addresses the rapidly evolving regulatory landscape for artificial intelligence in the European Union.
Free 30-minute consultation — assess your AI risk exposure, plan compliance training, get a proposal
Any organization developing, deploying, or using AI systems in the EU. This includes AI developers (providers), companies using AI tools (deployers), and importers/distributors of AI products. Obligations vary by role and the risk level of the AI system.
The EU AI Act entered into force in August 2024. Prohibited practices apply from February 2025. High-risk obligations and general-purpose AI rules apply from August 2025. Full enforcement for all provisions by August 2026.
AI systems are classified into four levels: unacceptable risk (banned), high risk (strict requirements), limited risk (transparency obligations), and minimal risk (voluntary codes). Classification depends on the AI system's purpose and potential impact on health, safety, and fundamental rights.
The AI Act complements GDPR rather than replacing it. AI systems processing personal data must comply with both. Key overlaps include automated decision-making (Art. 22), data protection impact assessments, transparency requirements, and the role of DPOs in AI governance.
We recommend ISO 42001 as the baseline AI management system, supplemented by NIST AI RMF and EU-specific requirements. Our training helps organizations build a practical framework covering AI inventory, risk assessment, monitoring, and documentation.
Fines range from €7.5M to €35M (or 1% to 7% of global annual turnover). Prohibited practices attract the highest fines (€35M/7%). High-risk violations: up to €15M/3%. Supplying incorrect information: up to €7.5M/1%. SMEs and startups receive proportionate penalties.
AI regulation is here. Whether you're building AI systems or deploying third-party tools — your team needs to understand risk classification, compliance obligations, and governance frameworks. Start today.