{"slug":"telefonica-runs-compressed-llama-models-on-its-own-infrastructure-for-ai-agent-assist-for-over-8-000-customer-service-agents","url":"https://findausecase.com/use-cases/telefonica-runs-compressed-llama-models-on-its-own-infrastructure-for-ai-agent-assist-for-over-8-000-customer-service-agents","title":"Telefonica runs compressed Llama models on its own infrastructure for AI agent-assist for over 8,000 customer-service agents","description":"Multiverse Computing built compact models (compressed and optimised Llama 3.1 8B and Llama 3.3 70B) that run entirely on Telefonica's own infrastructure, giving more than 8,000 customer-service agents AI-assisted support as part of the 'Movistar por ti' customer-care initiative. Keeping customer data on the operator's network ruled out external cloud APIs. The full story is gated.","company":"Telefonica","industry":"Telecommunications","aiCapabilities":["Generative AI"],"technology":["Llama 3.1 8B","Llama 3.3 70B"],"deployment":"On-Premise","problemStatement":"Telefonica wanted to scale generative AI agent-assist across thousands of contact-centre seats as part of its \"Movistar por ti\" customer-care initiative, but frontier large language models were too costly and resource-intensive at that scale. Keeping customer data on its own network ruled out external cloud APIs, and running full-sized models on-premises would have required infrastructure investment beyond what the rollout could justify, limiting it to small pilots.","solutionApproach":"Multiverse Computing built compact models, compressed and optimised versions of Llama 3.1 8B and Llama 3.3 70B, that run entirely on Telefonica's own infrastructure and give more than 8,000 customer-service agents faster, AI-assisted support. The rest of the story is gated and not visible.","businessValue":"The page headline says the work cuts infrastructure costs by 72%, but the visible text does not explain how that figure was measured; the full story is gated. The visible summary states that more than 8,000 customer-service agents are given AI-assisted support.","evidence":{"band":"high"},"sourceUrl":"https://multiversecomputing.com/success-story/telefonica-scales-ai-powered-customer-support-while-cutting-infrastructure-costs-by-72","dates":{"publishedAt":"2026-10-27T05:45:39.492Z","publishedAtSource":"pipeline","updatedAt":"2026-10-27T05:45:39.492Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/telefonica-runs-compressed-llama-models-on-its-own-infrastructure-for-ai-agent-assist-for-over-8-000-customer-service-agents. Bulk republication requires permission."}