This chapter advances the book’s argument from co-creation within engagements to co-innovation across ecosystems by foregrounding a foundational but often misunderstood element: data as representational structure and semantic substrate. Building on the COIN Systems Architecture, the chapter shows why Shared Digitalized Infrastructures (SDIs)—including governed data platforms, business objects, ontologies, and lineage—do not contradict a relational view of value creation. Instead, they condition it. Robust representational foundations enable Tokenized Dynamic Intelligences (TDIs) to emerge later as relational encodings that link actors, contexts, and learning across enterprises and ecosystems over time. Using SAP as a global archetype, the chapter demonstrates how enterprise-scale semantic coherence supports machinic cognition and co-agency through platforms such as SAP Business Data Cloud, SAP HANA Cloud, and Joule-based assistants and agents. It then shows how interoperability rather than enclosure extends this substrate across organizational boundaries via zero-copy data sharing with Databricks, multi-cloud AI integration, and participation in industry data spaces such as Catena-X. In this context, TDIs are clarified as policy-bound learning encodings that connect operational events, ecosystem interactions, and regulatory commitments to Sustainable Wellbeing Impacts (SWIs). The chapter introduces the COIN co-innovation flywheel—harmonize, reason, orchestrate, engage, experience, and learn—to show how relational intelligence accumulates while preserving accountability, sovereignty, and traceability. It concludes by positioning ecosystem-level co-innovation as the necessary precursor to recursively relational co-intelligent enterprise transformation, the focus of Chapter 6 .