This workshop delivers practical insights gained from two years of AI Act implementation in public and private sector organizations. Participants will explore real-world case studies and engage in guided discussions with trainers and peers. Designed for professionals with prior knowledge of the AI Act, ML/AI technologies, and (Data) Quality Management, this intensive workshop focuses on solving complex, real-life challenges. It avoids superficial overviews, pushing participants to tackle advanced tasks and answer difficult questions. Key topics include: *Legal and technical challenges, including conflicts of laws and compliance with standards *Risk categorization, risk management and litigation risks *Human and organizational aspects of implementation *Critical issues such as data collection, accuracy, bias mitigation, data protection, copyright, contract management, and product liability The workshop equips participants with actionable insights and strategies for navigating the complexities of AI the AI Act.