Use case
Increase employee productivity
Context

Canadian Tire Corporation uses Azure OpenAI Service to develop ChatCTC, an internal digital assistant that helps over 3,000 employees with tasks like training, building job descriptions, and generating product descriptions, saving them 30–60 minutes per day. They also developed CeeTee, an AI-powered shopping assistant that simplifies the tire buying process for customers, leading to increased revenue from online sales conversions.

Models/tools
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1
Use case
Faster powertrain innovation
Context

Toyota deployed a system named O-Beya integrating nine specialized AI agents powered by GPT-4o to capture and consolidate decades of engineering expertise. The solution leverages Microsoft Azure OpenAI Service with API integration via Azure Functions and a vector search–enabled Cosmos DB to process design reports, regulatory data, and handwritten documents, streamlining powertrain design workflows and preserving expert knowledge amid retirements.

Models/tools
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1
Use case
Inclusive tool usability
Context

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.

Models/tools
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1
Use case
Faster media insights
Context

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.

Models/tools
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4
Use case
Streamlined support operations
Context

Lenovo integrated AI-powered Copilot into its Dynamics 365 Contact Center and Customer Service platforms to automate inquiry response handling and routine tasks. They implemented a unified, multilingual chat service where customer inquiries are processed in natural language and historical service data is leveraged to provide real-time resolution suggestions and generate detailed post-call summaries. This integration streamlined support workflows and enabled agents to focus on more complex customer issues.

Models/tools
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1
Use case
Accurate shipping invoicing
Context

Dow implemented Microsoft 365 Copilot to empower teams with AI-driven insights and automate freight invoice analysis. They deployed two supply chain agents – a prompt-and-response agent for real-time invoice review and an autonomous agent via Copilot Studio to process PDF invoices automatically, integrating these into logistics operations to optimize billing and cost management. This solution streamlined workflows and improved process accuracy across departments.

Models/tools
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2
Use case
Efficient edge AI deployment
Context

Coles uses Azure Stack HCI and Azure Machine Learning to build an intelligent edge backbone, improving management of applications and AI/computer vision use cases across 500+ stores.

Models/tools
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2
Use case
Faster pet diagnosis
Context

Mars, a global petcare company, uses Microsoft's Azure AI model catalog, choosing Mistral for its model as a service offering, to accelerate the development and deployment of its AI-powered solution RapidRead. RapidRead interprets pet radiology scans quickly, assisting veterinarians in diagnosing medical conditions faster. By employing Azure Machine Learning, Mars can process millions of images and reports, supporting veterinarians with AI-enhanced tools.

Models/tools
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1
Use case
Automated agreement management
Context

Docusign developed the Intelligent Agreement Management (IAM) platform using Microsoft's Azure AI and Azure OpenAI Service to automate and enhance agreement management processes.

Models/tools
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2
Use case
Faster SOP creation
Context

Eaton, a global power management company, adopted Microsoft 365 Copilot to automate the creation of 1,000 standard operating procedures (SOPs) and improve data access across teams. Copilot helps teams work more efficiently, focus on strategic tasks, and facilitate smooth onboarding.

Models/tools
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1
Use case
Streamlined routine legal tasks
Context

Clifford Chance, a global law firm, adopted Microsoft 365 Copilot and Microsoft Viva to streamline tasks, automate processes, and enhance collaboration. Lawyers use Copilot to draft and manage emails, track new legislation, and ensure compliance, allowing them to focus on complex legal work. They are exploring Copilot Studio to create agents for compliance and other tasks.

Models/tools
...
3
Use case
Secure AI innovations
Context

Mia Labs built its conversational AI assistant, Mia, on Microsoft Azure using Azure OpenAI Service and secured its AI workloads with Microsoft Defender for Cloud. They implemented advanced threat intelligence through contextual security posture management and runtime alerts, enabling quick detection and mitigation of jailbreak attempts while protecting sensitive dealership interactions. This integration streamlined security processes and eliminated the need for costly IT audits.

Models/tools
...
2
Use case
Easier insight extraction
Context

Integrated generative AI into ABB Ability Genix to power Genix Copilot, enabling natural language queries for real‑time industrial data insights.

Models/tools
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1
Use case
Accessible cultural heritage
Context

Iconem captured over 400,000 high-resolution images using advanced photogrammetry techniques (drones, cameras, lasers) over a three-week period, which were processed by Microsoft’s AI for Good Lab on Azure to create an ultra-precise digital twin of St. Peter’s Basilica. The AI-driven model was refined with millimeter-level accuracy to detect structural vulnerabilities and enhance both interior and exterior visualizations, thereby supporting immersive, interactive exhibits and online cultural access.

Models/tools
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2
Use case
Faster processing of unstructured data
Context

Zurich Insurance Group uses Azure OpenAI Service to develop advanced AI applications in underwriting, improving risk assessments and accelerating the underwriting process. By leveraging Azure OpenAI Service's advanced language AI and text-to-speech models, Zurich can process unstructured data like reports, images, and emails in various languages across its global operations.

Models/tools
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1
Use case
Improving customer support efficiency
Context

Air India, India's flagship airline, uses Azure OpenAI Service and Azure AI tools to develop AI.g, a virtual assistant that enhances customer support with a multi-modal AI platform integrated with their back-end systems.

Models/tools
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5
Use case
Simplified Earth data discovery
Context

NASA collaborated with Microsoft to develop Earth Copilot by integrating Azure OpenAI Service into its existing EARTHDATA VEDA platform. This AI-powered solution allows users to query complex geospatial datasets using plain language, simplifying data search and analysis for scientists and policymakers. The implementation leverages robust cloud infrastructure, machine learning, and natural language processing to transform traditionally complex data retrieval processes.

Models/tools
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1
Use case
Accelerated data processing
Context

Operation Smile implemented Azure OpenAI Service to digitize patient registration with multi-language support and automate spreadsheet data analysis. They integrated this AI solution with Microsoft Fabric, OneLake, and Power Apps in collaboration with partner Squadra to enable real-time analysis for patient triage and report generation, streamlining operational workflows.

Models/tools
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4
Use case
Real-time game insights
Context

The NBA uses Azure OpenAI Service and GPT models to power "NBA Insights", an AI-driven feature in the NBA App that provides fans with real-time game insights and deeper understanding of key moments during games.

Models/tools
...
1
Use case
Automated marketing content
Context

JATO Dynamics used Azure OpenAI Service to develop Sales Link, an AI-driven content generator that helps car dealerships quickly produce tailored marketing content by combining market data and vehicle information.

Models/tools
...
2
Use case
Efficient document creation
Context

DLA Piper, a global law firm, implemented Microsoft 365 Copilot to streamline document creation, optimize workflows, enhance productivity, and automate routine tasks. By integrating Copilot with Microsoft 365 applications, they improved productivity and reduced time spent on lower-value tasks while maintaining robust data security.

Models/tools
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1
Use case
Timely tourist information
Context

The City of Madrid created VisitMadridGPT, an AI virtual assistant using Azure OpenAI Service, to provide tourists with accurate, real-time information and personalized responses in over 95 languages.

Models/tools
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1
Use case
Faster admin tasks
Context

Institut Curie implemented Microsoft 365 Copilot in partnership with Witivio to develop a dedicated "Copilot for Researcher" agent that automates time-consuming administrative tasks, including retrieving and summarizing scientific literature and streamlining supply order management via cross-referencing internal directories. The solution was integrated into existing Microsoft 365 workflows to enable natural language queries for literature searches, order processing, and internal communications, thereby freeing researchers to focus on core cancer research while ensuring expert validation of AI outputs. By offloading routine tasks and safeguarding data integrity, the system optimizes research processes and enhances operational efficiency.

Models/tools
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1
Use case
Bridging skill gaps
Context

Siemens Industrial Copilot assists engineers in programming and troubleshooting industrial machines by translating natural language into automation code and offering real-time guidance, easing the learning curve for less experienced workers.

Models/tools
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2
Use case
Streamline automation engineering
Context

Siemens AG leveraged Microsoft's Azure OpenAI Service to enhance their Siemens Industrial Copilot, an AI assistant for industrial automation engineering. The Copilot uses generative AI to automate repetitive tasks such as data management, sensor configuration, and reporting, helping engineers focus on complex, value-added work. Over 100 companies are using the Copilot to streamline processes, address labor shortages, and drive innovation. thyssenkrupp Automation Engineering plans to roll out the Copilot globally starting in 2025.

Models/tools
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1
Use case
Early detection of dental issues
Context

Virtual Dental Care (VDC), a teledentistry provider, developed an AI application called Smart Scan using Azure Machine Learning. Smart Scan analyzes dental photos and x-rays to detect common dental issues, such as decay and gum inflammation. Built in the Azure ecosystem, it easily scales for large group screenings, reducing administrative paperwork by 75% in a school study and allowing dentists to focus more on patient care.

Models/tools
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1
Use case
Accelerate clinical research
Context

Ospedale San Raffaele developed a cloud-based platform powered by AI and Machine Learning to transform clinical research and precision medicine. Predictive models and generative AI tools help analyze complex data, improve decision-making, automate low-value activities, focusing on research, diagnosis, and treatment.

Models/tools
...
1
Use case
AI decision intelligence for regulated sectors
Context

iGenius collaborated with Microsoft to enhance Crystal, their decision intelligence platform, integrating advanced language models for conversational AI. The collaboration includes adding Crystal to Microsoft Marketplace and joint go-to-market initiatives, increasing visibility and market positioning.

Models/tools
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1
Use case
Personalized storytelling for families
Context

Ferrero Group's Kinder brand is leveraging Microsoft Azure OpenAI to create Let's Story, an e-book platform allowing families to personalize stories via the Applaydu app. It generates over 40,000 different stories combining text, audio, and illustrations in 15 languages, enhancing children's learning and storytelling skills.

Models/tools
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1
Use case
Increase employee productivity
Context

CDW Corporation, a technology solutions provider, rolled out Microsoft 365 Copilot to 10,000 employees to enhance productivity and gain firsthand experience with generative AI to better serve its clients. The company provided robust training resources via Microsoft Viva Learning and established a collaboration venue on Microsoft Viva Engage to support adoption.

Models/tools
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2

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