Use case
Addressing workforce shortages
Context

BaptistCare, an Australian nonprofit supporting aging and vulnerable Australians, adopted Microsoft 365 Copilot to maximize efficiencies and empower staff. By integrating Copilot into their workflow, employees delegate manual tasks to the AI assistant, such as composing emails, summarizing information, and developing solutions in Power Apps.

Models/tools
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2
Use case
Increase staff productivity
Context

RTI International, an independent research institute, adopted Microsoft 365 Copilot to empower staff to gain productivity. Staff use Copilot to search across Teams, Outlook, and meetings, quickly catching up on missed information, adjusting tone in emails and documents, and summarizing complex reports. This allows staff to focus more on their expertise, delivering better science-backed solutions for clients.

Models/tools
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1
Use case
Faster software development
Context

Capita, a consulting and outsourcing company, uses GitHub Copilot to automate repetitive coding tasks. By adopting GitHub Copilot across its development teams, Capita has improved developer productivity, satisfaction, and retention, enabling faster delivery for its customers.

Models/tools
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1
Use case
Faster data analysis and software development
Context

Access Holdings Plc, a leading multinational financial services group in Nigeria, adopted Microsoft Copilot for Microsoft 365 to enhance operations across the organization. Developers use Copilot to accelerate coding tasks, reducing development time from eight hours to two. Staff use Copilot in Teams to get meeting summaries and focus on discussions. The data science team uses Copilot to analyze data faster, and executives prepare reports and presentations more efficiently with Copilot.

Models/tools
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1
Use case
Building a customer support assistant
Context

Virgin Money uses Microsoft Copilot Studio and Azure OpenAI to build "Redi," an award-winning virtual assistant that delivers exceptional customer experiences. Redi handles customer inquiries, triages questions, and directs customers to live agents when appropriate. By involving contact center staff in designing Redi's interactions, they ensure on-brand and natural conversations, including understanding colloquialisms.

Models/tools
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2
Use case
Public charging trust
Context

Georgia Tech partnered with Microsoft using Azure OpenAI Service to analyze global EV charging behavior data in 72 languages, automating the classification and predictive modeling of public charging experiences. They fine-tuned their AI with context prompts and reinforcement learning from human feedback, integrating it into research workflows to support policy development and infrastructure enhancement.

Models/tools
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1
Use case
Efficient video analysis
Context

The NFLPA, which represents professional football players, partnered with Microsoft and Xoriant to develop an AI solution using Azure AI Services to analyze practice video footage from all 32 teams. The AI tool automatically identifies potential rule violations in offseason practices, significantly reducing the time staff spend reviewing footage and enhancing player safety.

Models/tools
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1
Use case
Accessible clinical records
Context

Oncoclinicas implemented a comprehensive digital portal and mobile app to automatically scan, extract, and digitize clinical exam data using Azure Cognitive Services’ Computer Vision for OCR and Text Analytics for Health. They integrated backend services including Azure Storage, Functions App, Service Bus, Cosmos DB, and Azure Machine Learning to centralize and structure medical records, deploying the solution over three months with onsite training at 129 care units to streamline clinical workflows.

Models/tools
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2
Use case
Accelerate AI adoption
Context

ANZ, a leading bank in Australia and New Zealand, is partnering with Microsoft to launch an AI Immersion Centre at its Melbourne headquarters. The Centre will help 3,000 leaders understand and adopt generative AI through hands-on learning experiences over the next 12 months. ANZ has invested in Microsoft's generative AI technologies, including purchasing 3,000 Copilot for Microsoft 365 licenses, deploying GitHub Copilot to 3,000 developers, and utilizing Copilot in Microsoft Edge. They have also developed a private chatbot, Z-GPT, to assist employees in generating and integrating internal information.

Models/tools
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3
Use case
Fragmented data consolidation
Context

Parexel implemented Microsoft Azure solutions by leveraging AI-powered capabilities within Azure Databricks and Power BI to consolidate and analyze data from over 100 disparate sources into a centralized data lake, eliminating labor-intensive manual reporting. The solution automated data aggregation and standardized data governance, optimizing clinical trial management and accelerating the delivery of actionable insights.

Models/tools
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3
Use case
Efficient task management
Context

Planted integrated Microsoft Azure OpenAI to create a customized generative AI Copilot that automates routine tasks and supports creative process development for its brand, marketing, and manufacturing teams. The solution was implemented by embedding AI-driven analytics and automated data search functionalities into existing workflows using Dynamics 365 Business Central and Power BI, replacing outdated manual processes. This integration streamlined critical operations and enhanced data-driven decision-making across multiple departments.

Models/tools
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1
Use case
Faster content creation
Context

Softchoice, a leading IT solutions provider, is using Microsoft Copilot for Microsoft 365 to enhance employee productivity across departments like marketing, sales, and finance. By integrating Copilot into daily workflows, employees leverage generative AI to reduce time spent on content creation by up to 70%, streamline operations, and focus on more meaningful work.

Models/tools
...
1
Use case
Faster internal workflows
Context

Insight Enterprises integrated Microsoft 365 Copilot into core business processes such as sales, finance, and HR, using generative AI to automate meeting summaries, content creation, and document standardization. They implemented the solution through Microsoft’s Early Access Program, supplemented by internal training sessions, weekly office hours, and developing an in-house AI service (Insight GPT) leveraging Microsoft Azure OpenAI Service, achieving rapid adoption across teams. This strategic integration streamlined key operations, accelerating RFP response times and boosting overall productivity.

Models/tools
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2
Use case
Enhanced team collaboration
Context

EPAM Systems, a global software engineering and consulting firm, integrated Microsoft Copilot for Microsoft 365 to enhance productivity and collaboration among its 50,000+ employees across 55 countries. Copilot assists in generating content, summarizing meetings, and managing emails, enabling teams to focus on core tasks. EPAM supported adoption through training workshops, a dedicated SharePoint site, and a Microsoft Teams channel, while ensuring data security with Microsoft Purview.

Models/tools
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1
Use case
Reduced administrative workload
Context

Barnsley Council, a local government authority in the UK, implemented Microsoft Copilot for Microsoft 365 to reduce administrative workload across departments including finance, HR, legal, business support, and children's services. By leveraging Copilot's AI capabilities, staff can automate mundane tasks, allowing them to focus on more impactful work and improve productivity.

Models/tools
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1
Use case
Unified asset analytics
Context

Network Rail implemented an AI-driven analytics platform called "insight" leveraging Azure Databricks and Azure Machine Learning to process vast amounts of data from its extensive railway infrastructure. The solution integrated diverse data streams—including track geometry, ultrasonic testing, and weather data—using Azure Data Factory and delivered visual insights through Power BI to enable predictive maintenance and efficient asset management. Agile collaboration with Microsoft architects streamlined maintenance scheduling and transformed labor-intensive processes into near real-time, cost-effective decision-making workflows.

Models/tools
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2
Use case
Optimize employee efficiency
Context

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.

Models/tools
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1
Use case
Efficient internal info retrieval
Context

Nagel-Group uses Azure OpenAI Service to create NagelGPT, an AI chatbot integrated into Microsoft Teams, allowing employees to ask questions about topics like works agreements and sales contracts and receive automated responses with references to relevant documents, improving efficiency and transparency.

Models/tools
...
4
Use case
Instant product proposals
Context

ITOCHU transformed its FOODATA dashboard by integrating Azure OpenAI Service and Azure AI Studio, powered by Microsoft Fabric for data aggregation and cleansing, to automatically generate evidence-based product proposals. They implemented a dedicated proof-of-concept through a cross-company task force and a partnership with Headwaters, assembling SQL-driven data and leveraging retrieval-augmented generation for comprehensive analysis. This integration streamlines product planning by reducing manual data analysis and drafting, enabling managers to quickly evaluate multiple proposal drafts.

Models/tools
...
3
Use case
Enhanced employee productivity
Context

Asahi Europe & International (AEI), a global brewer, adopted Microsoft Copilot to enhance productivity and foster innovation across its teams. They distributed 300 Copilot licenses across various departments, forming "flight crews" to drive adoption. Employees use Copilot to automate tasks like summarizing documents, drafting content, and translating communications into 14 languages, allowing them to focus on strategic initiatives and creative thinking.

Models/tools
...
1
Use case
Faster HR reporting
Context

Integrated Microsoft Fabric to consolidate siloed ERP/SaaS data into a unified lakehouse and streamline HR analytics workflows while leveraging Copilot in Power BI for code enhancements.

Models/tools
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1
Use case
Future-proof banking platform
Context

Commercial Bank of Dubai upgraded its application infrastructure using Microsoft Azure, leveraging GitHub Copilot and Azure OpenAI to modernize applications, improve transaction security and speed, and enable faster development.

Models/tools
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2
Use case
Improved student support efficiency
Context

Milpark Education, a South African higher education provider, implemented Microsoft Dynamics 365 Customer Service and Microsoft's Digital Contact Center, utilizing AI capabilities like Microsoft Copilot to transform its student support services. They integrated communication channels and provided agents with AI-powered tools for better visibility into student queries.

Models/tools
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3
Use case
Enhancing employee productivity
Context

Trace3 adopted Microsoft Copilot across their organization, empowering employees to streamline tasks such as summarizing client engagements, highlighting meetings and email chains, drafting documents, and simplifying recruiting processes. By integrating Copilot into their workflow, they enhance productivity and can focus more on delivering innovative solutions to clients.

Models/tools
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1
Use case
Streamlined sales data management
Context

Sandvik Coromant, a Swedish cutting-edge tooling solutions provider, implemented Microsoft Copilot for Sales to automate sales data entry, email summarization, and meeting recaps. By integrating Copilot into their sales processes, they reduced tedious tasks, allowing sales teams to focus more on customer interactions and develop business daily.

Models/tools
...
1
Use case
Streamline sales operations
Context

PA Consulting, a global consulting firm, uses Microsoft's Copilot for Microsoft 365 and Copilot for Sales to enhance employee productivity and sales processes. By leveraging AI-assisted note taking, meeting summarization, and agenda drafting, employees save an average of three hours per week. The integration with Dynamics 365 Sales helps sales teams quickly consolidate information, leading to more productive client interactions.

Models/tools
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2
Use case
Efficient data management
Context

E.ON, a leading energy provider in Germany, is utilizing Microsoft Copilot for Microsoft 365 to assist employees in efficiently managing and processing vast amounts of data. Copilot helps automate routine tasks, generate presentations, transcribe and minute Microsoft Teams meetings, and quickly locate files and information across Microsoft 365 applications. This enables employees to focus on value-adding tasks, increasing productivity and efficiency.

Models/tools
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1
Use case
Automated payment matching
Context

EY developed PowerMatch, a canvas app built on Power Apps integrated with SAP using pre-built connectors to sync payment and invoice data, replacing manual review by the Accounts Receivable team. They implemented Power Automate flows with custom AI Builder models to extract key payment attributes and applied a 14-step matching algorithm using Office Script, streamlining payment processing.

Models/tools
...
2
Use case
Improved AI literacy access
Context

Auburn University integrated Microsoft Copilot, Microsoft Purview, Microsoft Sentinel, Azure OpenAI Service, and Microsoft 365 Copilot into its academic and administrative workflows to boost AI literacy and secure access. They launched a course on "Teaching with Artificial Intelligence," hosted an AI Day event, and conducted chatbot build-a-bot workshops to enable faculty, staff, and students to use AI tools effectively. These initiatives streamlined curriculum delivery, research, and administrative processes while fostering innovation.

Models/tools
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5
Use case
Faster localization turnaround
Context

Lionbridge integrated GPT-4 via Microsoft Azure OpenAI Service to automate routine translation tasks and deliver hyper-personalized, multi-language content. They implemented new workflows—including scalable provisioned throughput units and AI-powered tools for creating project-specific glossaries and style guides—to reengineer its translation and localization processes. This integration streamlined operations and enabled employees to shift focus from manual efforts to quality assurance and innovative content solutions.

Models/tools
...
2

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