Scale by reusing the integration capabilities that every workflow needs instead of rebuilding them for each application.
A shared orchestration layer can centralize model access, routing, fallback, token controls, logging, identity, governance, and model abstraction.
Standard validation patterns, context-access rules, observability, and action controls can also be reused across workflows.
This allows each additional AI use case to build on existing infrastructure, making the organization scale intelligence and workflow value rather than multiplying direct model connections and maintenance effort.
