Predictive modeling with advanced machine learning can help child welfare agencies support their practice and case management. But to realize the full potential of those models to improve decision making and system management, agencies need to make sure they start with the right use cases, validate them before implementation, and integrate them into real workflows. This flyer illustrates how Mathematica partners with child welfare jurisdictions to move from use case selection to model development, implementation, and measurable improvement.