Organizational leaders across industries worldwide are actively exploring artificial intelligence (AI) as a catalyst for unlocking new opportunities, fostering pragmatic innovation, and delivering tangible business value. Microsoft remains committed to accelerating AI transformation by empowering human ambition through its suite of AI-driven Copilots and agents, pioneering differentiated AI solutions, and establishing scalable cybersecurity frameworks.
At Microsoft Ignite, the company announced over 100 groundbreaking innovations designed to bring cutting-edge AI advancements directly to customers and partners. Microsoft stands alone in offering three distinct AI platforms that enable organizations to develop robust AI solutions:
- Copilot: A user-friendly AI interface, with Copilot Studio facilitating low-code agent creation and seamless integration with proprietary data.
- Azure AI Foundry: The only AI application server designed for the development of real-world, AI-native applications.
- Microsoft Fabric: An AI data platform offering a unified approach to data management, regardless of its source.
These platforms operate cohesively, providing businesses with open, interoperable, and secure AI solutions that advance AI-first strategies with confidence.
AI Success Stories Across Industries
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 provide secure solutions tailored to diverse customer needs. For example, its customer KPC Private funds reported a 70% reduction in time and resources dedicated to agreement processes.
Emirates Global Aluminium (EGA) transformed its manufacturing operations by leveraging a hybrid environment with Azure Arc, Azure Stack HCI and Azure Kubernetes Service. This digital manufacturing platform resulted in 86% cost savings for AI image and video analytics and a 13-fold improvement in AI response times. The seamless hybrid cloud architecture has enhanced EGA’s operational efficiency and agility, supporting its Industry 4.0 transformation strategy.
EY collaborated with Microsoft to enhance the inclusivity of AI development using Azure AI Foundry. By involving neurodivergent technologists from EY’s Neuro-Diverse Centers of Excellence, they improved the accessibility and productivity of AI tools, resulting in more inclusive AI solutions, fostering innovation and ensuring that AI tools unlock the potential of all users. With an estimated 20% of the global workforce identifying as neurodivergent, inclusive AI solutions are crucial for maximizing creativity and productivity. Neurodivergent EY technologists also collaborated with Microsoft developers to make Azure AI Foundry more inclusive and help all users work productively to create innovative AI solutions.
Colombian household appliance manufacturer Haceb integrated AI to optimize processes, reduce costs and improve service quality. Using Microsoft Copilot Studio and Azure OpenAI Service, the company created a virtual technical support assistant, saving its 245 technicians 5 minutes per visit — a total of 5,000 minutes saved daily. This AI solution has enhanced efficiency and boosted customer satisfaction by allowing for faster issue resolution. Haceb’s AI adoption has also empowered employees, boosted productivity and positioned the company as a leader in AI innovation in Colombia.
To better serve its global patients, Operation Smile — in collaboration with partner Squadra — leveraged Azure AI, Machine Learning and Microsoft Fabric to develop an AI-powered solution to predict surgical outcomes and optimize resource allocation. This innovation resulted in a 30% increase in surgical efficiency, a 90% reduction in translation errors and improved patient outcomes. Additionally, report generation is now up to 95% quicker, and repeated medical events have decreased by 15%, enabling Operation Smile to provide better care to more children worldwide.
Ontada — a McKesson business dedicated to oncology data and evidence, clinical education and point-of-care technologies — needed a way to generate key insights across 150 million unstructured oncology documents. Using Microsoft Azure AI and Azure OpenAI Service, Ontada developed a data platform solution called ON.Genuity to provide AI-driven insights into the patient journey, enhance patient trial matching and identify care gaps. The company also implemented large language models to target nearly 100 critical oncology data elements across 39 cancer types, enabling the company to analyze an estimated 70% of previously inaccessible data, reduce processing time by 75% and accelerate product time-to-market from months to just one week.
As the UK’s largest pet care company, Pets at Home sought a way to combat fraud across its retail operations — particularly as its online business continued to grow. Working closely with its fraud team, it adopted Copilot Studio to develop an AI agent that quickly identifies suspicious transactions. The agent autonomously gathers relevant information, performs analysis and shares it with a fraud agent to enable a manual, data-intensive investigative process while ensuring a human remains in the loop. With this low-code agent extending and seamlessly integrating into existing systems, the company’s fraud department can act more quickly; what used to take 20 to 30 minutes is now handled by the AI agent within seconds. The company is identifying fraud 10 times faster and is processing 20 times more cases a day. Now, the company can operate at scale with speed, efficiency and accuracy — with savings expected to be in the seven figures as it continues to build more agents.
Revenue Grid, a technology company specializing in sales engagement and revenue optimization solutions, partnered with Cloud Services to modernize its data infrastructure and develop a unified data warehouse capable of handling unstructured, semi-structured and structured data. By migrating to Microsoft Fabric, Revenue Grid can now deliver data-powered revenue intelligence, driven by a unified platform, elastic scalability, enhanced analytics capabilities and streamlined operations. Revenue Grid has reduced infrastructure costs by 60% while enhancing its analytical capabilities to improve real-time data processing, empowering sales teams with accurate and diverse data.
To better manage and integrate employee data across diverse regions and systems, UST built a comprehensive Employee Data platform on Microsoft Fabric. In under a year, UST migrated 20 years of employee data with all security measures to enhance data accessibility and employee productivity. The Meta Data Driven Integration (MDDI) framework in Fabric also helped the company cut data ingestion time by 50% so employees can focus more on analysis than preparation. As a result of this implementation, the company has seen an increase in collaboration and innovation from employees, helping put its values into action.
The Microsoft Commercial Marketplace offers millions of customers worldwide a convenient place to find, try and buy software and services across 140 countries.
As a Marketplace partner, WeTransact is helping independent software vendors (ISVs) list and transact their software solutions — and find opportunities for co-selling and extending their reach to enterprise customers through development of the WeTransact platform.
Powered by Azure OpenAI Service, the platform is changing the way partnerships are being built by using AI pairing to facilitate a “plug and play” reseller network. More than 300 ISVs worldwide have joined the Microsoft Commercial Marketplace using the WeTransact platform, cutting their time to publish by 75%.
The Future of AI-First Strategies
The adoption of AI is no longer a vision for the future—it is driving real-world business transformation today. Organizational leaders are prioritizing AI-driven strategies to enhance operations, productivity, and customer experiences. Microsoft remains dedicated to ensuring AI enriches human potential and supports businesses in adopting AI responsibly and securely.
As organizations navigate their AI journeys, Microsoft stands as a trusted partner, providing the tools, platforms, and security frameworks necessary to accelerate AI transformation. The future of AI is now, and businesses worldwide are seizing the opportunity to innovate and thrive in an AI-first world.