Use case
High-volume student queries
Context

Physics Wallah developed 'Gyan Guru', a hyperpersonalized conversational study companion to address the unique academic and support needs of its 2 million daily users. The system was implemented by indexing over one million Q&As and ten million solved doubts in a vector database, then leveraging a Retrieval-Augmented Generation (RAG) approach integrated with Azure OpenAI to deliver individualized, context-aware responses. This integration streamlined various student interactions including academic queries, product-related issues, and general support, reducing reliance on human subject matter experts.

Models/tools
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1
Use case
Streamlined executive operations
Context

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.

Models/tools
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2
Use case
Future-proof IT operations
Context

University of Oxford’s IT Services department deployed Microsoft 365 Copilot across its 400+ staff as part of a pilot program aimed at embedding generative AI into research, teaching, and administrative workflows. They implemented extensive onboarding sessions, community engagement via Microsoft Teams, and established an acceleration team to integrate Copilot with other business applications. This deployment streamlined routine tasks such as document generation, summarization, and meeting support, fostering innovation within the department.

Models/tools
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1
Use case
Streamlined workflow management
Context

Wipro integrated Microsoft 365 Copilot to enable natural language commands and real-time suggestions across Microsoft applications, automating document management and proposal creation. They also deployed GitHub Copilot for developers and utilized Azure OpenAI to drive generative AI transformation across the enterprise, integrating these tools into existing business workflows. This comprehensive implementation improved internal collaboration and expedited processes for presales, sales, marketing, and development teams.

Models/tools
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3
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.

Models/tools
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1
Use case
Faster document review
Context

Trilegal implemented an enterprise-grade AI-driven document management solution tailored for legal workflows. Powered by Azure OpenAI and Cognitive Services, the system automates sorting, auto-tagging, translations, summaries, and OCR functionalities to organize vast document repositories and reduce repetitive tasks. This integration streamlines document lifecycle management, enabling lawyers to focus on high-value strategic work.

Models/tools
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1
Use case
Secure chat workflows
Context

Synechron implemented an enterprise-grade AI chat platform, Synechron Nexus Chat, powered by Azure OpenAI to enable secure and scalable conversational AI. The platform was deployed within an Azure private landing zone and integrated various language models, customizable personas, file uploads, and plugin agents to support natural language interactions and specialized tasks like diagram generation and image analysis. This solution enhanced internal business processes across HR, marketing, legal, and compliance while safeguarding sensitive data.

Models/tools
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Use case
Faster coding workflows
Context

Tata Elxsi integrated Microsoft GitHub Copilot into its video distribution platform development and testing processes to provide intelligent code suggestions, optimize existing code, assist in both manual and automated testing, simplify documentation, and enable smoother code translation. The integration streamlined coding and debugging workflows across the development cycle, enhancing productivity and ensuring compliance with strict security standards.

Models/tools
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1
Use case
Faster response time
Context

PGP Glass integrated Microsoft 365 Copilot into its internal operations to automate routine tasks such as document summarization, email drafting, meeting minutes preparation, and file management. The implementation involved deploying the tool across diverse communication and administrative workflows, reducing manual tasks and enabling employees to focus on strategic priorities. This AI-driven transformation enhanced both internal and external stakeholder communication by minimizing response delays.

Models/tools
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1
Use case
Reskill workforce for AI
Context

Mphasis launched an early adoption program integrating Microsoft 365 Copilot across 300 power users spanning functions such as delivery, finance, HR, legal, marketing, and IT. They implemented the tool within their existing Microsoft 365 environment to provide real-time suggestions, feedback, and collaborative access, transforming writing and communication workflows. This strategic integration reskilled employees by reducing manual interventions and boosting overall operational efficiency.

Models/tools
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1
Use case
Accelerated code development
Context

Infosys piloted GitHub Copilot with a broad range of developers, integrating it into their GitHub code repository and code store that contains thousands of reusable assets. They scaled the tool across their workforce to assist in writing, debugging, and securing code, streamlining feature development and bug fixes while ensuring compliance with security standards.

Models/tools
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1
Use case
Faster cloud account security
Context

Using GitHub Copilot, Paytm launched 'Code Armor' to automate the secure provisioning of new cloud accounts. The solution integrated AI-driven software testing and continuous deployment enhancements powered by GitHub Copilot and Azure OpenAI, replacing slower third-party tools in their cloud infrastructure monitoring. This transformation streamlined security processes and reduced provisioning time from 2-3 man-days to just minutes.

Models/tools
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2
Use case
Faster code development
Context

LambdaTest strategically integrated GitHub Copilot into its software development process by leveraging GitHub Actions’ intelligent code autocompletion to deliver instant code suggestions and facilitate collaborative problem-solving through GitHub’s chat functionality. The integration, implemented within Visual Studio Code, streamlined context switching and enhanced the unit testing process by automatically generating best-practice code snippets. This transformation optimized the coding workflow and allowed developers to concentrate on strategic feature development.

Models/tools
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1
Use case
Automated mundane workflows
Context

InMobi integrated a suite of Microsoft-powered AI solutions to automate repetitive internal processes including onboarding, access approvals, document management, legal reviews, and meeting follow-ups. They implemented Azure AI as a bespoke legal bot, GitHub Copilot for engineering, and Microsoft 365 Copilot (with Teams, Word, and Outlook Copilot) for real-time meeting summaries, document automation, and email efficiency, while planning to integrate Dynamics 365 Copilot for finance and deploying a Teams Bot for developers. This holistic approach improved workflows across legal, engineering, compliance, finance, and other functions, freeing up employees to focus on strategic and creative initiatives.

Models/tools
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3
Use case
Faster code releases
Context

Nykaa partnered with Microsoft by integrating GitHub Copilot into their coding workflows to automate repetitive tasks such as code completion and unit test case generation. The solution was implemented by embedding Copilot Chat into their development environment to assist with documentation, code refactoring, and quality assurance, thereby streamlining the entire coding process.

Models/tools
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1
Use case
Streamlined internal workflows
Context

Noventiq integrated Microsoft 365 Copilot into its daily operations to automate routine administrative tasks and enhance communication between teams. They implemented the tool across internal systems to generate intelligent recaps, meeting summaries, email drafts, and thread summaries, effectively replacing manual workflows and streamlining document collaboration. This transformation enabled employees to shift focus onto strategic initiatives and agile decision-making.

Models/tools
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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.

Models/tools
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2
Use case
Streamlined engineering processes
Context

HCLTech developed an AI-based TeamSight platform using GitHub Copilot and Microsoft 365 Copilot. They fine-tuned role definitions, KPIs, and measurement metrics through targeted prompts and generated scripts to integrate multiple tools for automated data collection and bottleneck identification. This enhanced engineering workflows by providing comprehensive dashboards for engineers and managers to track progress and identify corrective actions.

Models/tools
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2
Use case
Faster internal task handling
Context

Embee leveraged Azure OpenAI and Microsoft Copilot to automate and enhance operations across multiple departments including sales, marketing, HR, IT support, and software development. They integrated custom SAP Copilot plugins for instant access to financial and sales data, built ITSM plugins to automate support ticket management, and enabled developers with GitHub Copilot for code validation and testing automation. These steps streamlined workflows, reduced manual tasks, and provided real-time insights.

Models/tools
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3
Use case
Faster scientific content creation
Context

Cactus Life Sciences implemented Microsoft 365 Copilot to automate routine tasks and augment the generation of scientific content under human oversight. They integrated the tool into their Microsoft 365 workflows to assist with drafting, editing, and approving complex scientific communications, streamlining content creation and dissemination processes. This approach improved the efficiency of internal content workflows enabling faster communication of critical scientific data to stakeholders.

Models/tools
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1
Use case
Time-intensive admin tasks
Context

Indegene integrated Microsoft 365 Copilot into its suite of productivity tools, including Word, Excel, PowerPoint, Outlook, and Teams, to automate routine email responses, document summarization, data analysis, and RFP development. The solution was implemented across departments such as content, pre-sales, finance, and project management, ensuring stringent data security and privacy standards while streamlining critical business workflows.

Models/tools
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1
Use case
Rapid code prototyping
Context

Aurigo integrated GitHub Copilot into their development environment to automate code snippet generation from natural language comments. They implemented the tool within their prototyping workflows to generate unit tests, streamline documentation of legacy code, and reduce boilerplate coding, thereby accelerating early-stage development. This approach streamlined the prototyping process and improved team onboarding.

Models/tools
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1
Use case
Manage high project volume
Context

C3IT built custom Microsoft 365 Copilot extensions to automate key project lifecycle tasks for Business Analysts and Project Managers. Biz Analyst Copilot automates the drafting of Business Requirements Documents by summarizing client requirements, while Copilot PM Assist delivers real-time project updates from Azure Boards to streamline project tracking and kick-off preparations. These implementations enhanced requirement gathering, documentation, and overall project management workflows.

Models/tools
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1
Use case
Streamlined internal operations
Context

Birlasoft integrated M365 Copilot into core business operations—including HR, Legal, Pre-sales, IT Support, Sales Operations, and delivery functions—to drive enterprise productivity. They also developed innovative in-house GenAI applications, such as a conversational bot for policy queries and a ServiceNow-integrated solution to automate IT ticket responses, streamlining support workflows.

Models/tools
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Use case
Automate repetitive tasks
Context

BCCL deployed Microsoft 365 Copilot across key departments including HR, sales, finance, and M&A to automate routine tasks and streamline workflows. They integrated the AI solution within their existing Microsoft ecosystem and implemented specialized agents like the Copilot HR Bot to handle repetitive processes, notably in HR, shifting manual operations to more strategic activities.

Models/tools
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1
Use case
Multilingual reading difficulties
Context

The school deployed Microsoft Reading Progress and Microsoft Immersive Reader, two AI-powered apps integrated within Microsoft Teams, to support individualized learning. The tools record reading sessions, provide real-time feedback on pronunciation and errors, and translate texts to enable comprehension across multiple languages. This setup streamlines classroom instruction, personalizes student learning, and reduces teacher workload.

Models/tools
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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.

Models/tools
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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.

Models/tools
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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.

Models/tools
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2
Use case
Simplified security operations
Context

Integrated Microsoft 365 E5 platform with Microsoft Security Copilot to automate and centralize incident response, authentication, and security monitoring across multiple digital tools.

Models/tools
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1

What's brewing in AI

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