AI case studies in {region}





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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.
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Zendesk integrated OpenAI's models to create adaptive AI service agents that autonomously manage customer conversations and execute resolution tasks. They implemented a multi-agent architecture featuring task identification, conversational RAG, procedure compilation, and procedure execution agents integrated with existing support workflows through API calls and natural language procedure definitions, while providing real-time chain-of-thought visibility. This solution transitions from traditional intent-based bots to a hybrid model of scripted and generative reasoning, streamlining customer service processes.
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Chatbase integrated Anthropic's Claude into its multi-channel customer support platform to automate routine inquiries and deliver instant, personalized support across web chat, WhatsApp, Slack, and Instagram. They implemented the solution by embedding AI agents through APIs that integrate with business systems such as Stripe for order status checks and refund processing, while enabling customizable brand voice and multilingual communication with optional human oversight. This approach streamlined customer service workflows and provided advanced analytics to help teams quickly identify trends and optimize interactions.
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Pensieve integrated Anthropic's Claude models (Claude 3.5 Sonnet and Claude 3.7 Sonnet) to build AI teaching assistants that automate grading and provide 24/7 personalized tutoring. The system clusters student submissions to calibrate grading rubrics and transforms static PDFs into interactive worksheets while enforcing instructor-controlled policies. This integration streamlines course management workflows and enhances real‐time classroom analytics.
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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.
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Praxis AI integrated Anthropic's Claude 3.5 Sonnet via Amazon Bedrock to create AI-powered digital twins of professors that serve as virtual teaching assistants. They implemented this by switching from GPT-4 to Claude using an LLM switcher and deploying the solution on a secure, scalable AWS infrastructure that supports multi-agent workflows and real-time conversational features. This approach enhanced round-the-clock personalized student engagement and alleviated faculty workload.
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Amazon integrated Anthropic’s Claude models in Alexa+ to power its digital assistant, enhancing conversational reliability and advanced jailbreaking resistance. The integration was implemented via Amazon Bedrock with a close collaboration between Amazon and Anthropic teams. This deployment improved the core business process of delivering secure and trustworthy AI-driven interactions to consumers and businesses.
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LaunchNotes leverages Claude in Amazon Bedrock in their product 'Graph' to transform engineering data into actionable insights. Graph functions as an ETL platform with Claude managing data pipelines, helping engineering managers understand development metrics, reduce incident identification time, automate updates, and generate customized release notes and technical documentation.
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Snowflake integrated Anthropic's Claude into their platform to enable natural language queries on complex databases, allowing customers to extract insights without SQL expertise while maintaining security and governance.
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Rogo, an AI finance platform, uses OpenAI's GPT-4 to provide real-time financial intelligence to investment professionals, automating tasks like meeting prep, company profiling, and market research. By fine-tuning OpenAI's models and integrating financial datasets like S&P Global, Crunchbase, and FactSet, Rogo helps shift focus from manual work to high-value decision making.
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Fanatics Betting and Gaming uses ChatGPT and custom GPTs across its finance department to automate vendor identification, contract summarization, and data analysis, freeing up time for strategy and higher-impact work.
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Wayfair, a U.S. ecommerce retailer, uses ChatGPT and OpenAI APIs across the organization, including legal, research, marketing, and customer service. They leverage AI to enhance personalization, enrich product data, optimize supply chains, and modernize legacy systems, improving both customer experience and operational efficiency.
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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.
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Thomson Reuters uses Claude in Amazon Bedrock as part of its AI platform CoCounsel, helping legal and tax professionals synthesize expert knowledge and deliver comprehensive advice to clients.
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Deployed Dynamics 365 Supply Chain Management to centralize warehouse data and integrated Microsoft 365 Copilot for Finance (with an Excel-based finance agent) to automate monthly reconciliations and financial workflows.
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Kodif, a customer support automation platform, uses Anthropic's Claude via Amazon Bedrock to automate up to 90% of support tickets for clients. By integrating Claude 3.5 Sonnet, Kodif powers AI agents that handle complex workflows like refunds and cancellations, enhancing support efficiency and transforming customer support into a revenue source.
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AppFolio uses Anthropic's Claude 3 Haiku and Claude 3.5 Sonnet via Amazon Bedrock to power AI-assisted responses and task automation in their Realm-X platform. This helps property managers save time on routine communications with residents, owners, and vendors by providing AI-suggested responses and automating tasks.
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Esri integrated its ArcGIS platform with Microsoft Azure’s AI capabilities and NVIDIA GPU-accelerated computing to rapidly convert a massive dataset of geospatial images into a high-resolution 3D digital twin. The solution leveraged 200 GPU cloud nodes to perform reality mapping and flood simulation, drastically streamlining urban planning and emergency response workflows.
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AES deployed generative AI agents built on Vertex AI and Anthropic’s Claude models to overhaul its health and safety audit processes. They connected Claude via API calls within the Vertex AI environment, addressing security through configured service accounts and leveraging Vertex AI Model Garden for simplified deployment. This automation streamlined document reviews for large, multilingual audit files, significantly reducing manual labor.
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Assembled, a support operations platform, uses Anthropic's Claude models to power Assist, their AI agent and copilot, enhancing customer support by integrating AI and human efforts. They employ Claude for dynamic ticket categorization, intelligent routing between AI and human agents, real-time response generation, and analyzing issues to automatically route cases to the optimal handler—whether AI agent or human with specific expertise.
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Brand.ai, a platform transforming how global brands manage brand consistency, uses Claude to create an AI-powered system that maintains brand consistency across millions of touchpoints. By leveraging Claude's large context window to process entire brand guidelines at once, they built two retrieval systems around Claude—one for surfacing relevant brand insights, another for maintaining context in conversations. This automates routine brand management tasks, freeing creative teams to focus on strategic work.
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Stairwell uses Anthropic's Claude to analyze and summarize complex security data, helping protect companies from sophisticated cybersecurity threats. Claude's large context window allows Stairwell to process security data with over 40,000 characters and its ability to understand technical data without extensive prompt engineering enables Stairwell to convert technical security findings into clear, actionable insights for security teams of all experience levels.
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Skillfully, a public benefit corporation dedicated to creating a more meritocratic job market, uses Anthropic's Claude to power AI-driven job simulations that let candidates demonstrate their actual skills in realistic workplace scenarios. By leveraging Claude without complex fine-tuning, Skillfully generates a large volume of AI-powered job simulations weekly, transforming traditional hiring practices.
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Newfront, a modern insurance platform serving 20% of US startups with unicorn status, uses Claude from Anthropic to automate tedious insurance tasks. They have deployed Claude across their workflows to create a benefits assistant that provides employees with instant answers about coverage limits and eligible expenses, a contract review tool for legal teams, and automated processing of complex insurance documents, allowing brokers to focus on strategic guidance and problem-solving for clients.
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The Warriors overhauled their IT and data infrastructure with Google Cloud, integrating 30+ fan-facing data sources and analyzing over 100M data points to build a custom mobile app using App Engine and Firebase for a personalized digital fan experience. They implemented Gemini for Google Workspace to automate repetitive administrative tasks, streamlining internal processes and saving 41 hours per employee annually. Additionally, they are exploring Vertex AI to integrate natural language search with BigQuery, enhancing data-driven decision-making for both team performance and fan engagement.
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CodeRabbit, an AI-powered code review platform, uses Anthropic's Claude to automate and enhance code review processes for development teams. By integrating Claude's advanced language capabilities, CodeRabbit provides real-time code reviews with contextual feedback, instant understanding of complex code changes, early error detection, and unified quality assurance, enabling teams to ship higher quality code faster while maintaining rigorous standards.
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Codeium, an AI coding platform, uses Anthropic's Claude to power their AI-native IDE, Windsurf, and their intelligent coding assistant, Cascade. By integrating Claude, they enhanced the reasoning and planning abilities of Cascade, allowing it to understand long sequences of development activity, maintain full context of coding sessions, and provide better assistance to developers. This resulted in a transformative AI coding experience with faster interactions and improved code understanding.
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Otter, an AI Meeting Assistant, uses Claude from Anthropic to enhance its ability to summarize meetings, identify action items, and extract meaningful insights automatically. By leveraging Claude's 200k context window, Otter can process long meeting transcripts without constraints, transforming conversations into lasting organizational knowledge.
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Morgan Stanley integrated GPT-4 and Whisper from OpenAI into their workflows, including an internal chatbot and meeting summary tool, enabling financial advisors to quickly retrieve firm knowledge, generate summaries, and provide timely, tailored client insights.
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Graphite, a modern end-to-end developer platform, uses Anthropic's Claude and Claude 3.5 Sonnet to power their AI code reviewer that catches bugs and suggests fixes, transforming how engineering teams approach software development. Their implementation combines Claude's reasoning capabilities with deep code review expertise, breaking complex code analysis into discrete steps and employing multiple validation layers to ensure high-quality comments.
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