Optimizing governance to scale GenAI

Over the past two years, communications service providers (CSPs) have deployed enough generative AI (GenAI) use cases to demonstrate that the technology works. Now, they must scale large and small language models and AI agents in production and prove that they can deliver value to their businesses by generating new revenue, cutting opex and improving customer experience.

In this research report and webinar, we focus on the business and technical governance required to operationalize and scale AI. CSPs must create centers of excellence and common AI and data platforms, but they must guard against over-centralization while doing so. Operators must centralize oversight while still empowering teams within individual domains to innovate and execute quickly within clear guardrails, because too much centralization can hinder the very agility and innovation that GenAI is meant to unlock. It’s a delicate balance that CSPs must strike if they hope to deploy agentic AI at scale.