AI case studies using {model/tool}






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Brandix adopted the Microsoft 365 Copilot suite via the Early Access Program to integrate AI into key executive workflows, automating meeting transcript-based action tracking in Teams, accelerating pitch deck creation in PowerPoint, and streamlining document generation in Word while leveraging AI-enhanced querying in Power BI and efficient information retrieval via Copilot Chat. This implementation transformed internal communications, reporting, and presentation preparation processes by significantly reducing manual effort.
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DEWA uses Azure AI Services, Azure OpenAI Service, and Copilot for Microsoft 365 to enhance internal operations. The AI-powered Business Requirement Document Generator reduces document creation time, while Copilot helps employees increase productivity.
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Uniper, a German energy company, uses Microsoft's Copilot for Microsoft 365 and Copilot for Security to enhance employee productivity. Copilot assists in transcribing and summarizing meetings in Teams, extracting action points from Outlook emails, suggesting structures for PowerPoint presentations, and preparing targeted information. Auditors use Copilot to create audit plans and checklists. Copilot for Security helps identify risks faster and manage threats more effectively.
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PKSHA Technology uses Microsoft 365 Copilot to enhance team efficiency by speeding up meeting preparations, data analytics, and ideation. This helps them release products faster, create better sales presentations, and improve customer management.
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Migrated to a cloud-native microservices architecture on Azure by leveraging Service Fabric, App Service Environment, API Management, Service Bus, AKS, and centralized databases, combined with robust security and automation tools to support frequent releases and real-time payment processing.
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Hitachi embedded Microsoft’s generative AI tools—including Azure Open AI Service, Copilot for Microsoft 365, and GitHub Copilot—into its Lumada Solutions and JP1 Cloud Services to automate mission-critical system development, enhance customer service with faster alert response times, and improve predictive maintenance for rail infrastructure. They implemented these integrations across multiple business workflows and launched a comprehensive training program for over 50,000 GenAI Professionals to upskill 270,000 employees, driving measurable improvements in productivity and operational efficiency.
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