High-temperature heat pumps are becoming a cornerstone of industrial decarbonization, offering a pathway to replace fossil-fuel-based heating with clean, efficient alternatives. Yet determining how and where to integrate them effectively remains a major challenge for engineers and planners. Traditionally, system design has relied on expert judgment and manual iteration, an approach that is too slow to keep pace with industrial transformation and the diversity of process conditions. This article examines how combining physics-based reasoning with data-driven algorithms can automate design and integration, enabling faster and more efficient electrification of industrial heat.