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Use case
Efficient service coordination
Context

Urban Company leveraged generative AI to revolutionize its home services by automating customer support and quality assurance processes. They implemented AI-powered empathetic chatbots, automated photo-based quality checks, and smart decisioning flows using Azure OpenAI services to streamline scheduling and support a distributed workforce. This integration improved operational workflows and enhanced customer interactions across its service platform.

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1
Use case
Faster data access & security
Context

LTIMindtree leveraged AI by deploying M365 Copilot Extensibility with declarative agents that enable senior leadership and pre-sales teams to perform real-time, efficient data queries for RFPs and RFIs, and implemented Azure Open AI to automatically gather and organize information on HR policies, SOPs, and IT applications. They further fortified security by integrating Security Copilot with Intune, XDR, MDTI, and Sentinel, and empowered 1,600 developers with GitHub Copilot to reduce development time and improve test coverage.

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2
Use case
Faster customer issue resolution
Context

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.

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4
Use case
Faster oncology data extraction
Context

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.

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4
Use case
Personalized product discovery
Context

ASOS integrated Azure OpenAI Service and Azure AI prompt flow to build an AI-powered natural language interface on its website and mobile app for personalized product recommendations. They implemented the solution by connecting their existing microservices with these AI tools, streamlining rapid prototyping and integrating external trend data along with internal expertise to curate tailored selections that enhance customer engagement. The solution seamlessly integrates into ASOS’s digital processes.

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2
Use case
Faster data delivery
Context

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.

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2
Use case
Faster unstructured data processing
Context

Developed a GenAI solution leveraging Azure OpenAI Service to analyze, classify and structure unstructured medical records into interactive patient histories and a case DNA for improved decision support.

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1
Use case
Lower clinical workload
Context

Dynamic Health Systems built its VitruCare365® platform on Microsoft Cloud for Healthcare by integrating Microsoft Azure, FHIR, Dynamics 365, and Azure OpenAI Service to deliver personalized patient apps and AI-powered chatbots. They deployed a retrieval augmented generation technique with custom RAG Flag technology and integrated the solution within Microsoft 365 for telemedicine consultations, appointment scheduling, and motivational care planning. This comprehensive integration automated patient engagement and care plan management, streamlining clinical workflows.

Models/tools
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2
Use case
Faster candidate prequalification
Context

Gojob developed Aglae, a virtual assistant powered by Azure OpenAI Service to automate candidate engagement and prequalification via text messaging. They implemented a system that leverages large language models and customized prompts to search a database of 2 million profiles and conduct natural language conversations, while personalizing the assistant for each recruiter. This integration streamlined the recruitment workflow by reducing screening time and allowing recruiters to focus on high-value interactions.

Models/tools
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1
Use case
Timely farm interventions
Context

The project integrated on-farm sensors, satellite imagery, and historical crop data using Microsoft’s Azure Data Manager for Agriculture platform to monitor weather, soil, and nutrient conditions. FarmVibes.ai processed these data inputs and Microsoft Azure OpenAI Service translated technical details into simple, daily actionable alerts delivered via the Agripilot.ai mobile app in local languages. This solution improved decision-making in irrigation, fertilization, and pesticide application to optimize harvest timing for peak sucrose levels.

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2
Use case
Accessible documentation management
Context

Built an AI-powered knowledge base on Azure leveraging AI search and the generative AI tool Ask Eddy to streamline online documentation and service delivery.

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2
Use case
Timely tutor support
Context

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.

Models/tools
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4
Use case
Faster medical report generation
Context

Medigold Health, a UK occupational health provider, used Microsoft Azure OpenAI Service to automate medical report generation, reducing the time clinicians spend on paperwork. By integrating Azure OpenAI Service with Azure App Service, Azure Cosmos DB, and Azure SQL Database, they developed an AI application that generates reports from clinicians' consultation notes in about 15 seconds, allowing clinicians to focus more on patient care.

Models/tools
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1
Use case
Dynamic property filtering
Context

Properstar integrated Microsoft Azure OpenAI Service to analyze unstructured property descriptions and extract important property features, enabling enriched data for listings. They combined this with Azure AI Search to build a dynamic filtering system that differentiates between mandatory and optional criteria, streamlining the property search process across global markets. The solution further supports robust market analysis and scalability.

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2
Use case
Faster property assessments
Context

Built an AI-powered system using Azure OpenAI Service to automatically read and categorize property contracts, apply legal rules, and generate automated assessments; integrated a digital assistant to answer citizen inquiries and support staff upskilling.

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1
Use case
Grading and admin automation
Context

SEDUC implemented Azure OpenAI Service to automatically analyze millions of student essays for personalized, multidimensional feedback, significantly reducing manual grading efforts. They integrated Microsoft Copilot into their administrative workflows to automate content creation, legal document generation, payroll processing, and student registration while upholding strict data security and responsible AI practices.

Models/tools
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2
Use case
Easier pet care management
Context

Petbarn developed and integrated PetAI, a generative AI-powered intelligent assistant using Azure OpenAI Service, Azure AI Search, and Azure App Service. They implemented the solution through virtual discovery sessions and design workshops, followed by iterative development of a multi-agent retrieval augmented generation model to deliver highly personalized pet care advice and product recommendations. The system was deployed on both their website and mobile app, streamlining customer interactions and enhancing pet care guidance.

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3
Use case
Faster writing of appeal letters
Context

Acentra Health developed MedScribe, a web app that uses Azure OpenAI Service to generate draft letters responding to healthcare service appeals.

Models/tools
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1
Use case
Unified access to startup resources
Context

Cradle Fund, a Malaysian government agency supporting startups, built an AI-driven chatbot powered by Azure OpenAI Service on their MYStartup Single Window platform. The chatbot provides instant answers to user queries, offers personalized assistance, and enhances user engagement by analyzing queries and providing accurate responses around the clock without human intervention.

Models/tools
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1
Use case
Faster content creation
Context

KMS Lighthouse, a global technology company specializing in organizational knowledge management solutions, integrated Azure OpenAI Service into their platform to assist companies with content creation. The AI helps content authors be more efficient by generating summaries, automatic responses, enhancing content in knowledge articles, and producing FAQs and answers.

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1
Use case
Faster data search
Context

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.

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4
Use case
Human-like customer interactions
Context

Parloa built an AI-powered customer service automation platform using Azure Cognitive Services and Azure OpenAI Service to provide human-like interactions across phone, chat, and messaging apps.

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4
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 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.

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4
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
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.

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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
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

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