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Use case
Faster retail transformation
Context

TCS partnered with Google Cloud to integrate advanced AI and generative AI capabilities into retail service offerings. They launched the Google Cloud Gemini Experience Center at their Retail Innovation Lab in Chennai, enabling retail clients to ideate, prototype, and co-develop tailored AI solutions that optimize supply chain, warehouse receiving, customer insights, and content creation. This approach automated processes using tools like Vertex AI Vision for warehouse receiving and leveraged Vertex AI with Gemini 1.5 Pro and speech-to-text to transform service centers.

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Use case
Efficient data handling
Context

LY Corporation leveraged OpenAI’s API to integrate advanced generative AI into its flagship services, including a GPT‑4o-powered LINE AI Assistant and GPT‑4 enhancements in Yahoo! JAPAN Search for summarizing reviews and generating travel plans. They also deployed SeekAI, an in-house productivity tool using RAG to rapidly retrieve information from internal documentation, streamlining employee inquiries and operations.

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2
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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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2
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.

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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.

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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.

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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.

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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.

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3
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.

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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.

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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.

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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.

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1
Use case
AI integration on mobile
Context

OPPO integrated Google Cloud’s Vertex AI, AutoML, and Gemini large language model into its mobile devices to automate user feedback analysis, power AI Recording Summary features, and enable AI Toolbox functionalities such as AI Writer and AI Reply. They re-engineered their hardware platform, operating system, and third-party ecosystem to embed AI agents that optimize power consumption and reduce computing latency, streamlining mobile development workflows and enhancing user experience.

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4
Use case
Rapid, culturally-aware support
Context

SK Telecom integrated Anthropic's Claude on the Amazon Bedrock platform to power both in-call assist and post-call processing solutions. They implemented a custom in-house RAG model combined with real-time document search and automated summarization, classification, and sentiment analysis to augment call center operations and support culturally nuanced customer interactions.

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2
Use case
Simplified listing process
Context

Mercari integrated OpenAI’s API with a multi-model approach to optimize product listings. Initially, GPT‑4 analyzed top listings offline while GPT‑3.5 Turbo provided real-time suggestions for active listings. Later, they shifted to GPT‑4o mini to automatically generate complete titles, descriptions, and category suggestions from uploaded photos, streamlining the seller listing workflow.

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1
Use case
Faster manga translation
Context

Orange uses Anthropic's Claude to automate manga translation, combining translation agent models with inpainting technology and direct image input to handle visual elements, streamlining localization and allowing translators to focus on nuance.

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3
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.

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1
Use case
Faster legal research & document preparation
Context

Law&Company, a legal technology firm in South Korea, uses Anthropic's Claude and Claude 3.5 Sonnet to power SuperLawyer, the country's first AI legal assistant. SuperLawyer helps lawyers automate routine tasks such as legal research, document drafting, case law summarization, and compliance checking. By implementing a Retrieval Augmented Generation (RAG) system and leveraging Claude's function-calling capabilities, SuperLawyer provides accurate and efficient legal support, allowing lawyers to focus on high-value tasks.

Models/tools
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2
Use case
Scalable, compliant superapp
Context

Wrtn Technologies leveraged Microsoft's Azure OpenAI Service with its newest o1 models to power a localized AI superapp, integrating features such as intelligent search, conversational chat, and code generation into its platform. They implemented the solution by incorporating Azure AI Foundry and Azure AI Content Safety to ensure secure data residency and regulatory compliance, streamlining both consumer interactions and internal development workflows.

Models/tools
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3
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.

Models/tools
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2
Use case
Efficient customer onboarding
Context

Mystifly partnered with Google Cloud to develop Mystic, an AI-powered chatbot that leverages Vertex AI Agent Builder to understand complex airline industry queries. They implemented an internal system by indexing PDFs stored in Google Cloud Storage into an unstructured datastore for quick retrieval and integrated Dialogflow CX with Cloud Functions for seamless escalation. This solution automated customer onboarding and support workflows for their SSP Manager platform by enabling travel agents to resolve configuration questions independently.

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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

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