Use case
Improving employee productivity
Context

Virgin Atlantic, a UK-based airline, is an early adopter of Microsoft's Copilot for Microsoft 365 and GitHub Copilot to enhance productivity and enable new ways of working. They have rolled out the tools to the first 300 licenses and plan to expand across the wider business. The team is using Copilot to generate emails, assist in coding, and support their day-to-day roles, leading to time savings and fostering innovation in problem-solving.

Models/tools
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2
Use case
Rapid, secure scaling
Context

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.

Models/tools
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2
Use case
Streamlined documentation for staff
Context

Chi Mei Medical Center in Taiwan implemented AI copilots built with Microsoft's Azure OpenAI Service to assist doctors, nurses, pharmacists, and nutritionists in their daily tasks. The copilots summarize patient information from multiple databases into a single interface, automate report generation, and provide personalized patient education materials. This has reduced the time spent on documentation, allowing staff to see more patients and spend more quality time with them.

Models/tools
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1
Use case
Streamlined routine tasks
Context

MAIRE, a leading energy and engineering group, integrated Microsoft 365 Copilot to automate and streamline routine and repetitive tasks for their engineers. By deploying Copilot across various teams and encouraging its adoption through their 'Human in the Loop' portal, they have significantly reduced time spent on paperwork, allowing staff to focus on higher-value activities.

Models/tools
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1
Use case
Simplified infrastructure management
Context

Accenture transformed its infrastructure by migrating its core SAP applications to the cloud using RISE with SAP on Azure, integrating financial data, reporting, and transaction processing across multiple business lines. The implementation leveraged SAP S/4HANA, SAP Business Warehouse, and Azure services like Power BI, Fabric, and Synapse to secure a seamless and agile transition. Building on this robust foundation, the company launched an AI-driven financial advisor application powered by SAP AI core that automates financial planning and predictive analytics.

Models/tools
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1
Use case
Centralized endpoint management
Context

National Australia Bank (NAB) implemented Microsoft 365 Copilot and Microsoft Security Copilot to enhance endpoint management and security across its global workforce. By adopting Windows 11 Enterprise and Microsoft Intune, NAB centralized device management, improved security posture, and boosted employee productivity. Microsoft 365 Copilot assists employees with productivity tasks, while Security Copilot helps engineers analyze security data more efficiently.

Models/tools
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2
Use case
Accurate internal data retrieval
Context

MHI implemented TOMONI TALK with ChatGPT by leveraging Microsoft Azure OpenAI Service to automate tasks such as summarization, translation, and draft generation. They built a low-code prototype, conducted an in-house hackathon, and partnered with Zen Architects to integrate a tailored Retrieval Augmented Generation approach using Azure AI Search and robust data management. This solution streamlined internal communication, maintenance, and decision-making processes in power plant operations.

Models/tools
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2
Use case
Categorization products faster
Context

Cdiscount utilizes Azure OpenAI Service combined with its own AI models to recategorize product sheets, leading to improved product categorization and higher conversion rates.

Models/tools
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2
Use case
Unified legacy systems
Context

Wallenius Wilhelmsen transformed its outdated, fragmented IT infrastructure by integrating AI-powered Microsoft 365 Copilot and Microsoft Viva into daily operations. They implemented a phased rollout starting with senior leadership through an early access program, followed by an engaging internal campaign and comprehensive training sessions across global teams. This overhaul streamlined processes such as document collaboration, meeting summarization, and performance monitoring using tools like Viva Goals and Copilot Dashboard.

Models/tools
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2
Use case
Enhancing IT support efficiency
Context

Standard Bank of South Africa uses Microsoft Power Platform with a low-code approach to automate processes, analyze data, and create business solutions across its global network. Their Center of Excellence supports over 1,500 citizen developers. An IT help desk bot built in Copilot Studio resolves 99% of employee queries, enhancing productivity.

Models/tools
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2
Use case
Optimizing operational processes
Context

PG&E uses Copilot Studio and low-code AI tools to automate over 315 processes, saving 527,000 hours annually and nearly $75 million. AI-powered assistants also handle 25-40% of help desk requests, optimizing employee workloads and improving service levels.

Models/tools
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2
Use case
Automating customer service
Context

Nsure.com uses Copilot Studio to create custom AI copilots that automate up to 90% of incoming customer requests, such as handling insurance quotes, payments, renewals, and discounts.

Models/tools
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1
Use case
Personalized learning for students
Context

IU developed Syntea, an AI-powered study buddy using Azure OpenAI Service, providing students with personalized, interactive learning assistance through natural language interactions, available 24/7 in multiple languages, integrated into their learning platforms.

Models/tools
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1
Use case
Custom AI teaching assistants
Context

The University of Sydney developed Cogniti, an AI platform powered by Azure OpenAI Service, allowing professors to create custom AI teaching assistants to enhance learning and teaching practices.

Models/tools
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3
Use case
Time-intensive admin tasks
Context

Nest Bank modernized its infrastructure by migrating data sources to Microsoft Azure and adopting Azure Databricks, laying the foundation for AI-driven automation. Then, they embedded Microsoft 365 Copilot into daily Microsoft 365 applications to automate meeting preparation, follow-ups, and document creation, streamlining internal workflows.

Models/tools
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2
Use case
Streamline admin tasks
Context

Absa, one of Africa's largest financial institutions, uses Microsoft 365 Copilot and GitHub Copilot to enhance operational efficiency and customer engagement across multiple business areas. Employees use Copilot to streamline business processes, saving hours on administrative tasks, summarizing financial documents, generating content, and enhancing client interactions.

Models/tools
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2
Use case
Accessible people analytics
Context

Visier, a company specializing in people analytics solutions, developed Vee, a generative AI assistant built using Microsoft's Azure OpenAI Service, leveraging GPT-3.5 Turbo and GPT-4.0 Turbo models. Vee allows managers and leaders to ask complex questions about their workforce and receive intelligent, actionable insights quickly and securely. By integrating Vee into platforms like Microsoft Teams, Visier makes it easier for organizations to access and utilize workforce data for informed decision-making.

Models/tools
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3
Use case
Faster internal processes
Context

Paysafe implemented Microsoft 365 Copilot to streamline its internal documentation, meeting note-taking, and translation tasks. The company joined the Copilot for Microsoft 365 Early Access program, distributed 200 licenses, and collaborated with Microsoft and Noventiq to deliver workshops and training sessions, automating previously manual administrative tasks. This integration enhanced workflows in meetings, technical documentation, and multilingual communications.

Models/tools
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1
Use case
Faster proposal generation
Context

GovDash integrated AI into its government contracting workflow by leveraging Azure OpenAI Service to automate data capture, compliance matrix development, and proposal generation. They implemented an OCR pipeline using Azure Document Intelligence to extract and transform information from PDFs, followed by chained prompts and a Retrieval-Augmented Generation flow to create detailed outlines and proposals in Microsoft Word. This solution automates critical business processes in the contract bidding lifecycle.

Models/tools
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2
Use case
Accessible investment education
Context

B3 developed a conversational AI assistant using Microsoft’s Azure OpenAI Service and Azure AI Search, integrating it into its free online investment education platform. The assistant was trained on curated in-house educational materials, regulatory documents from Brazil’s securities market regulator, and partner-sourced financial content. Daily retraining and ethical safeguards ensure that novice investors receive clear, compliant explanations of complex financial terms, streamlining digital customer education.

Models/tools
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2
Use case
Faster data analysis
Context

Boyner uses Azure OpenAI Service and Azure Machine Learning to analyze data faster and generate product descriptions automatically from product photos.

Models/tools
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2
Use case
Automated work processes
Context

Petrochemical Industries Company (PIC), a petrochemical subsidiary of Kuwait Petroleum Corporation, implemented Microsoft 365 Copilot to automate work processes, enhance productivity, and ensure data security. Employees use Copilot for drafting emails, generating documents, summarizing meetings, and creating social media content, streamlining operations and improving professional communication.

Models/tools
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1
Use case
Faster code development
Context

Visma integrated GitHub Copilot, powered by Azure OpenAI Service, into their development workflow to provide real-time code suggestions and autocomplete features within Visual Studio and Visual Studio Code. They implemented automated code generation for routine tasks and linked it with Azure DevOps pipelines to continuously test and deploy code, reducing context switching. This integration streamlined coding processes, significantly accelerating software development efficiency.

Models/tools
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2
Use case
Faster document processing
Context

National Bank of Greece built an AI-powered document processing solution using Azure AI Document Intelligence. They analyzed 50 million pages to create a comprehensive dataset and employed Azure Cognitive Services for Greek language recognition, integrating the solution into six customer-facing digital banking applications. This implementation automates document categorization and data extraction, streamlining both customer service and regulatory processes.

Models/tools
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3
Use case
Standardized online learning experience
Context

Torrens University used Microsoft Azure OpenAI to analyze and standardize over 1,200 courses and 60,000 web pages, improving and standardizing all course curriculums on one intuitive platform, MyLearn.

Models/tools
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1
Use case
Accelerated business transformation
Context

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.

Models/tools
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3
Use case
Efficient content creation
Context

Orange leverages Microsoft Azure OpenAI Service and GitHub Copilot to implement over 40 AI use cases across departments like customer service, marketing, communications, network operations, and software development. Applications include rewriting customer FAQs in a warmer tone, generating product sheets, a marketing research search engine, and assisting developers with code completion using GitHub Copilot.

Models/tools
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2
Use case
Providing 24/7 credit card assistance
Context

Virgin Money's AI-powered virtual assistant, Redi, supports credit card customers 24/7 through the Virgin Money Credit Card app. Built using Microsoft's Copilot suite in partnership with IBM, Redi provides conversational assistance with a mix of practical help and humor, enhancing customer experience and winning the "Best application of AI in Financial Services" award at the Card & Payments Awards.

Models/tools
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1
Use case
Automating routine project tasks
Context

Accenture uses Copilot Studio to create custom AI copilots that help employees automate routine tasks like checking project status. These AI-powered solutions make complex conversations easier by using relevant information, helping teams work more efficiently.

Models/tools
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1
Use case
Optimizing employee query management
Context

Copilot Studio is also being used inside Microsoft itself. Microsoft uses a custom Copilot within its HRWeb portal to manage employee queries. The AI deflects 60% of incoming questions, allowing employees to reclaim over 21,000 hours of productivity and reducing 27% of incoming service tickets.

Models/tools
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1

What's brewing in AI

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