How platform teams can help scale generative AI application delivery - Manjunath Bhat

Scaling generative AI applications requires moving beyond isolated prototypes to a structured, production-ready operational model. Organizations should avoid the "build it and they will come" trap by first establishing enabling teams that provide specialized expertise in model evaluation and governance. Complicated subsystem teams further reduce cognitive load on developers by managing the full model lifecycle, including rapid model evolution and security guardrails. A robust internal developer platform serves as the foundation, offering common services like model routers, prompt libraries, and observability tools. Verizon’s successful implementation of its "Vegas" platform demonstrates that centralizing these capabilities into a cohesive, multidisciplinary framework allows enterprises to manage token costs, ensure consistent quality, and streamline delivery across hundreds of use cases.