Cox Automotive integrated Claude via Amazon Bedrock into its portfolio by first creating a sandbox environment to evaluate performance metrics and then selecting Claude 3.5 Sonnet for complex tasks and Claude 3.5 Haiku for high-volume content generation. They automated personalized dealer-consumer communications, generated engaging vehicle listing descriptions, and produced SEO-optimized blog posts, while also streamlining internal data governance through automated metadata generation. This integration optimized operational efficiency across marketing and internal data processes.

Quillit integrated Anthropic’s Claude to automate qualitative research tasks by summarizing interview transcripts, generating contextual citations, and threading conversation data into comprehensive reports. They implemented the AI tool into their existing research workflow within three months, streamlining report writing, transcription, and analysis while ensuring data security and high precision.

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.

Deutsche Bank developed DB Lumina, an AI-powered research agent built on Gemini and Vertex AI through a partnership with Google Cloud. The solution automates the creation of financial research reports by rapidly condensing extensive market data—such as converting a 400-page report into a three-page summary—thereby streamlining analysis workflows while maintaining rigorous data privacy standards.

Block implemented Anthropic’s Claude models (Claude 3.5 Sonnet and Claude 3.7 Sonnet) on its Databricks platform to power its internal AI agent, codename goose. They integrated the LLM using secure OAuth-enabled connections and a custom MCP server to connect internal databases and tools, enabling employees across all roles to auto-generate SQL queries, analyze complex data, and automate workflows. This agentic integration streamlined software development, design prototyping, and data analysis by translating user intents into actionable insights.

Quantium deployed Anthropic's Claude across its organization to empower over 1200 employees in functions such as coding, proposal drafting, training development, and leadership coaching. They implemented the AI solution by launching an "ALL IN on AI" strategy with clear guidelines, practical guardrails, and comprehensive hands-on training programs integrated into daily workflows. This approach streamlined routine tasks and enabled teams to focus on strategic initiatives.

Notion reimagined its platform by deeply integrating OpenAI’s GPT‑4o, GPT‑4o mini, and embeddings across its core features. They prototyped an AI writing assistant during a hackathon and then built internal tools to rapidly evaluate and deploy new models, transforming workflows in search, note-taking, and knowledge management from static content to interactive, actionable insights.

Canva integrated Claude for Work into its design, engineering, and product development workflows to enable employees to rapidly prototype designs, generate code, and create polished content without specialized tools. They implemented a multi-vendor AI ecosystem supported by internal training programs, Slack channels for sharing AI successes, and guidance from their internal AI Solutions team, fundamentally transforming creative and collaborative processes across the organization.

Super Teacher integrated Anthropic's Claude to generate initial code for interactive educational tools and draft lesson plans for subjects ranging from pre-K to 5th grade. They embedded the AI into both software development and content creation workflows with mandatory human review to ensure safety and quality standards. This integration streamlined operational processes, enabling engineering and content teams to focus on higher-level development and creative enhancements.

704 Apps implemented an AI solution using Vertex AI and Gemini 1.5 Pro to automate and accelerate driver identity verification and safety monitoring. They integrated these AI models into their existing cloud infrastructure built on Firebase and Google Kubernetes Engine, centralizing real-time data for document validation and audio sentiment analysis. The system alerts the central monitoring team when risk-related language is detected, streamlining operational decision-making and enhancing security.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Nubank implemented a custom AI-driven enterprise search solution by integrating GPT‑4o and GPT‑4o mini with fine-tuned domain-specific models and Retrieval-Augmented Generation techniques, enabling employees to access FAQs, policies, and internal documents rapidly. They also developed a call center copilot using GPT‑4o that integrates the bank’s knowledge base and chat history to provide real-time conversation summaries, next-reply suggestions, and step-by-step guidance for agents, and launched an AI assistant to handle Tier 1 inquiries. Furthermore, Nubank piloted a fraud quality assurance system using GPT‑4o vision to analyze transactions and visual data, ensuring robust fraud detection according to regulatory requirements.