The value of AI: How Microsoft’s customers and partners are creating differentiated AI solutions to reinvent how they do business today
Organizational leaders in every industry around the world are evaluating ways AI can unlock opportunities, drive pragmatic innovation and yield value across their business. At Microsoft, we are dedicated to helping our customers accelerate AI Transformation by empowering human ambition with Copilots and agents, developing differentiated AI solutions and building scalable cybersecurity foundations. At Microsoft Ignite we made over 100 announcements that bring the latest innovation directly to our customers and partners, and shared how Microsoft is the only technology leader to offer three distinct AI platforms for them to build AI solutions: Copilot is your UI for AI, with Copilot Studio enabling low-code creation of agents and extensibility to your data. Azure AI Foundry is the only AI app server for building real-world, world-class, AI-native applications. Microsoft Fabric is the AI data platform that provides one common way to reason over your data —no matter where it lives. All three of these platforms are open and work synchronously to enable the development of modern AI solutions; and each is surrounded by our world-class security offerings so leaders can move their AI-first strategies forward with confidence. As we look ahead to what we can achieve together, I remain inspired by the work we are doing today. Below are a handful of the many stories from the past quarter highlighting the differentiated AI solutions our customers and partners are driving to move business forward across industries and realize pragmatic value. Their success clearly illustrates that real results can be harnessed from AI today, and it is changing the way organizations do business. To power its industrial IoT and AI platform, ABB Group leveraged Microsoft Azure OpenAI Service to create Genix Copilot: a generative AI-powered analytics suite aimed at solving some of the most complex industrial problems. The solution helps customers analyze key functions in their operations —such as asset and process performance, energy optimization and emission monitoring — with real-time operational insights. As a result, customers are seeing up to 35% savings in operations and maintenance, and up to 20% improvement in energy and emission optimization. ABB also saw an 80% decrease in service calls with the self-service capabilities of Genix Copilot. Serving government healthcare agencies across the US, Acentra Health turned to Microsoft to help introduce the latest AI capabilities that maximize talent and cut costs in a secure, HIPAA-compliant manner. Using Azure OpenAI Service, the company developed MedScribe — an AI-powered tool reducing the time specially trained nursing staff spend on appeal determination letters. This innovation saved 11,000 nursing hours and nearly $800,000, reducing time spent on each appeal determination letter by about 50%. MedScribe also significantly enhanced operational efficiency, enabling nurses to process 20 to 30 letters daily with a 99% approval rate. To ease challenges for small farmers, Romanian agribusiness group Agricover revolutionized access to credit by developing MyAgricover. Built with help from partner Avaelgo, the scalable digital platform utilizes Microsoft Azure, Azure API Management and Microsoft Fabric to automate the loan process and enable faster approvals and disbursements. This has empowered small farmers to grow their businesses and receive faster access to financing by reducing loan approval time by 90 percent — from 10 working days to a maximum of 24 hours. Building on its status as a world-class airline with a strong Indian identity, Air India sought ways to enhance customer support while managing costs. By developing AI.g, one of the industry’s first generative AI virtual assistants built on Azure OpenAI Service, the airline upgraded the customer experience. Today, 97% of customer queries are handled with full automation, resulting in millions of dollars of support costs saved and improved customer satisfaction — further positioning the airline for continued growth. BMW Group aimed to enhance data delivery efficiency and improve vehicle development and prototyping cycles by implementing a Mobile Data Recorder (MDR) solution with Azure App Service, Azure AI and Azure Kubernetes Service (AKS). The solution achieved 10 times more efficient data delivery, significantly improved data accessibility and elevated overall development quality. The MDR monitors and records more than 10,000 signals twice per second in every vehicle of BMW’s fleet of 3,500 development cars and transmits data within seconds to a centralized cloud back end. Using Azure AI Foundry and Azure OpenAI Service, BMW Group created an MDR copilot fueled by GPT-4o. Engineers can now chat with the interface using natural language, and the MDR copilot converts the conversations into KQL queries, simplifying access to technical insights. Moving from on-premises tools to a cloud-based system with faster data management also helps engineers troubleshoot in real time. The vehicle data covered by the system has doubled, and data delivery and analysis happen 10 times faster. Coles Group modernized its logistics and administrative applications using Microsoft Azure Stack HCI to scale its edge AI capabilities and improve efficiency and customer experience across its 1,800 stores. By expanding its Azure Stack HCI footprint from two stores to over 500, Coles achieved a six-fold increase in the pace of application deployment, significantly enhancing operational efficiency and enabling rapid innovation without disrupting workloads. The retailer is also using Azure Machine Learning to train and develop edge AI models, speeding up data annotation time for training models by 50%. Multinational advertising and media company Dentsu wanted to speed time to insights for its team of data scientists and media analysts to support its media planning and budget optimization. Using Microsoft Azure AI Foundry and Azure OpenAI Service, Dentsu developers built a predictive analytics copilot that uses conversational chat and draws on deep expertise in media forecasting, budgeting and optimization. This AI-driven tool has reduced time to media insights for employees and clients by 90% and cut analysis costs. To overcome the limitations of its current systems, scale operations and automate processes across millions of workflows, Docusign created the Intelligent Agreement Management (IAM) platform on Azure. Using Azure AI, Azure Cosmos DB, Azure Logic Apps and AKS, the platform transforms agreement data into actionable insights to enhance productivity and accelerate contract review cycles. IAM also ensures better collaboration and unification across business systems to







