This episode discusses how artificial intelligence (AI) is transforming risk management in projects by enabling proactive problem prediction and decision-making. Andrés Díaz explains that project risk management involves identifying, analyzing, and responding to potential issues like delays or budget overruns, a process traditionally challenging in complex projects. AI, with its ability to learn from data, recognize patterns, and predict risks more accurately, serves as a smart assistant that automates risk detection, reduces errors, and accelerates responses. Practical steps for integrating AI include gathering data, exploring AI tools with features like predictive analysis and anomaly detection, training teams to interpret results, and continuously monitoring risks. Companies investing in AI have seen significant benefits, such as up to a 30% reduction in losses, turning chaos into control. However, successful implementation requires investment and a blend of AI with human judgment to avoid errors. The episode encourages listeners to adopt AI technologies to stay competitive, improve project safety, and turn risks into opportunities. It also suggests reviewing past projects for potential early risk detection with AI and learning from successful case studies. Ultimately, AI empowers proactive management, transforming traditional risk handling into a smarter, more efficient process. Remember you can contact me at andresdiaz@bestmanagement.org