Many failed projects are due to incomplete, misunderstood specifications or lack of context documentation. In this chapter we introduce and explore AI methods that complement electronic design processes at different levels and domains by linking them to models of a specification and related knowledge. These are represented by SysMLv2 textual and by an ontology. The ontology serves as a reference point to consistently structure knowledge of electrical systems and their components in a knowledge base. The knowledge base serves as a central point of exchange for designers, manufacturers, and users. We explain the process step by step, by capturing requirements and designs in SysMLv2, and then describe each related step to the design process. Furthermore, we introduce basics of machine learning approaches. These approaches are first attempts to close the gap between natural language documents and systematic knowledge management, e.g., using ontologies.