Vodafone uses Azure OpenAI Service, Azure AI Foundry, Microsoft Copilot, and Azure AI Search to enhance their virtual assistant TOBi and develop SuperAgent to assist customer service agents. TOBi uses conversational AI to handle customer inquiries, while SuperAgent helps agents solve complex problems faster.

Ontada leveraged Microsoft’s Azure OpenAI Service Batch API and Azure AI Foundry to build its ON.Genuity platform, which processes 150 million unstructured oncology documents to automatically extract nearly 100 critical data elements across 39 cancer types. They integrated the new platform with their structured iKnowMed system using Azure Databricks for data ingestion and Azure Document Intelligence for text extraction, transforming manual chart review processes into an automated workflow that supports clinical decision-making and life science product development.

BMW Group implemented a cloud-based mobile data recorder (MDR) system by installing IoT devices in development cars to automatically capture and transmit extensive vehicular telemetry to Microsoft Azure. They built a comprehensive platform using Azure IoT Hub, Azure App Service, and Azure Kubernetes Service, and integrated Azure OpenAI Service with GPT-4o via Azure AI Foundry to create an MDR copilot that converts natural language queries into Kusto Query Language (KQL). This solution streamlined real-time data capture, analysis, and troubleshooting, accelerating vehicle prototyping and enhancing development quality.

Wrtn Technologies leveraged Microsoft's Azure OpenAI Service with its newest o1 models to power a localized AI superapp, integrating features such as intelligent search, conversational chat, and code generation into its platform. They implemented the solution by incorporating Azure AI Foundry and Azure AI Content Safety to ensure secure data residency and regulatory compliance, streamlining both consumer interactions and internal development workflows.

Universitas Terbuka implemented an AI tutor by integrating Azure OpenAI Service and Azure AI Foundry within its customized Moodle LMS. The solution involved indexing course materials and grading rubrics using Azure AI Document Intelligence, employing Azure AI Vision for OCR-based assessments, and deploying through a scalable microservices architecture using AKS and Azure App Service. This integration streamlined student assessments and reduced educator workload by automating repetitive queries.

PIMCO built ChatGWM, an AI-powered search platform using Azure AI. ChatGWM is a secure, retrieval augmented generation (RAG) application that searches across PIMCO-approved data sources to deliver relevant information to its teams. It allows associates to find information faster by typing questions and receiving accurate responses along with source references.

EY collaborated with Microsoft developers to enhance Azure AI Foundry's inclusivity by conducting structured diary studies, co-design sprints, and iterative prototyping sessions with neurodivergent technologists. Feedback from six copilot creation activities drove the development of customizable notification systems, including toast notifications and adaptive task guidance, which streamlined the platform's user interface and learning support for improved digital workflows.

Dentsu built a predictive analytics copilot leveraging Azure AI Foundry and Azure OpenAI Service to enable conversational access to media insights for campaign planning and budget optimization. They implemented the solution using loosely coupled microservices on Azure Kubernetes Service with API-based integration and GitHub GenAIOps Prompt Flow templates, embedding it within their existing business applications. The system was governed through shared modules to ensure responsible AI deployment and streamline media analytics workflows.