Telecommunications # Amdocs Builds Generative AI Agents for Telecom [Download Ebook](https://www.nvidia.com/en-us/lp/industries/telecommunications/generative-ai-use-cases-for-telecom-leaders-ebook.md) ## Overview Amdocs, a leading provider of software and services for communications and media providers, built [amAIz](https://www.amdocs.com/products-services/amaiz-telco-grade-genai-platform)—a domain-specific generative AI platform that helps telecom companies transform customer experiences, automate processes, and optimize decision-making. Amdocs is using [NVIDIA DGX™ Cloud](https://www.nvidia.com/en-us/data-center/dgx-cloud.md) and NVIDIA AI Enterprise software to develop and deliver solutions based on commercially available large language models (LLMs) and domain-adapted models. They’re also using [NVIDIA NIM™](https://www.nvidia.com/en-us/ai.md), a set of easy-to-use inference microservices designed to accelerate the deployment of generative AI across enterprises. In addition, Amdocs is working with [NVIDIA Nemotron™](https://www.nvidia.com/en-us/ai-data-science/foundation-models/nemotron/ "Follow link".md), a family of open-source models with reasoning capabilities, designed to provide developers and enterprises with a business-ready foundation for creating advanced AI agents to solve complex tasks. The Amdocs amAIz platform enhanced with NVIDIA’s [Llama Nemotron](https://nvidianews.nvidia.com/news/nvidia-launches-family-of-open-reasoning-ai-models-for-developers-and-enterprises-to-build-agentic-ai-platforms "Follow link") enables agents to handle complex, multistep customer journeys—spanning sales, billing, and care—autonomously. ### Partner Amdocs ### Audience Executive ### Use Case Generative AI / LLMs ### Products [NVIDIA AI Enterprise](https://www.nvidia.com/en-us/data-center/products/ai-enterprise.md) [NVIDIA DGX](https://www.nvidia.com/en-us/data-center/dgx-platform.md) [NVIDIA NIM](https://www.nvidia.com/en-us/ai-data-science/products/nim-microservices.md) Amdocs ## Amdocs Builds AI Agents for Network Operations and Customer Experience Amdocs is collaborating with NVIDIA to develop and deploy AI agents in telecom that deliver smarter, proactive automations and personalized experiences. This includes deep technical integration across platforms, including: ## Universal LLM NIM NVIDIA’s universal LLM NIM microservice offers a unified and streamlined approach to deploying LLMs, providing support for leading inference frameworks from NVIDIA and the community, including NVIDIA TensorRT™-LLM, vLLM, and SGLang. ## Data Flywheel for Fine-Tuned LLMs Amdocs built a robust LLMOps pipeline based on the [NVIDIA AI Blueprint for building data flywheels](https://build.nvidia.com/nvidia/build-an-enterprise-data-flywheel); NVIDIA NeMo™ microservices for streamlined fine-tuning, evaluation, and guardrailing; and NVIDIA NIM™ microservices. ## amAIz for AI Factories The Amdocs amAIz generative AI platform and amAIz agents are designed to seamlessly integrate with AI factories, including utilizing NVIDIA AI Enterprise. amAIz Agents can autonomously manage customer care, sales, and network tasks, enabling telecom-native operations that enhance customer engagement and operational efficiency. ## Benefits and Results Using NVIDIA NIM microservices, Amdocs achieved improvements in cost and latency: * **Decreased costs to operate:** Using telecom-based [retrieval-augmented generation](https://www.nvidia.com/en-us/glossary/retrieval-augmented-generation.md) on NVIDIA infrastructure, Amdocs reduced the number of tokens consumed for deployed use cases—by as much as 60 percent for data preprocessing and by up to 40 percent for inferencing. This enabled them to achieve the same level of accuracy at a significantly lower cost per token, depending on various influences and volumes used. * **Latency enhancements:** The collaboration has successfully reduced query latency by approximately 80 percent, ensuring that end users experience near-real-time responses. This acceleration enhances user experiences across commerce, care, operations, and beyond. ## Resources * Learn more about [NVIDIA’s open-source technologies](https://blogs.nvidia.com/blog/nemotron-open-source-ai/ "Follow link"). * Watch the [on-demand NVIDIA GTC session](https://resources.nvidia.com/en-us-ai-powered-operations/gtc25-s72988). * Read the [technical blog post on LLMOps](https://developer.nvidia.com/blog/fine-tuning-llmops-for-rapid-model-evaluation-and-ongoing-optimization/). * Download the [agentic AI verticalization whitepaper](https://www.amdocs.com/insights/whitepaper/ai-verticalization-for-telcos-defining-the-standard-for-telco-grade-agents-and-intelligent-autonomous-operations). * Learn more about the Amdocs [amAIz](https://www.amdocs.com/products-services/amaiz-suite) platform. “Amdocs’ strategic partnership with NVIDIA has been crucial in our acceleration of generative AI capabilities. This allows us to build on infrastructure and frameworks that solve the needs of our customers as they evolve.” **Anthony Goonetilleke** Group President, Technology and Head of Strategy, Amdocs See how leaders across the telecom industry, including Amdocs, are transforming customer experience and network operations with agentic AI. [Watch Video](https://www.youtube.com/watch?si=SRnDPJuNIZcJDWRC&v=R_XCjOaGvnU&feature=youtu.be)