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 too slow for the pace of industrial transformation and the diversity of process conditions. This article explores how combining physics-based reasoning with data-driven algorithms can automate design and integration, enabling faster and smarter electrification of industrial heat.