Offer a fixed-scope integration engagement that maps one AI agent workflow, defines its interface and permission model, implements a production gateway connection, and tests failure handling and operational controls. The service would deliver architecture, working integration code, evaluation scenarios, observability configuration, and a launch-readiness report. Repeated patterns could later become reusable gateway policies, testing kits, and managed reliability services.

Large technology and life-sciences companies are hiring senior platform staff specifically to integrate AI capabilities into production workflows and enable agents to consume platform services securely. The simultaneous emphasis on reliability, contextual routing, developer productivity, and vendor coordination indicates an immediate implementation gap rather than speculative interest.