In real-world projects, modeling is not the most important aspect—it’s just one component that interacts with others to create a solution that should improve the outcomes of the people who will be affected by it. In this talk, we will review the different components that make up a complete and responsible deployed AI/ML solution and focus on post-modeling, a part that is rarely explored in both academic and industry settings.