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Use case
Reduce report writing burden
Context

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.

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2
Use case
Secure on-premises AI
Context

NVIDIA partnered with Google Cloud to enable on-premises agentic AI by integrating Google Gemini models with NVIDIA Blackwell platforms and Confidential Computing, ensuring data sovereignty and regulatory compliance for sensitive enterprise operations. The solution further optimizes AI inference and observability by deploying a GKE Inference Gateway alongside NVIDIA Triton Inference Server, NVIDIA NeMo Guardrails, and NVIDIA Dynamo to enhance secure routing and load balancing for enterprise workloads.

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Use case
Faster internal workflows
Context

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.

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1
Use case
Faster finance/legal research
Context

Hebbia built Matrix, a multi-agent AI platform that orchestrates OpenAI models including o3‑mini, o1, and GPT‑4o to automate complex financial and legal research tasks. The platform decomposes intricate queries into structured analytical steps and integrates modules like OCR, hallucination validation, and artifact generation to process complete documents, creating an infinite effective context window. This solution streamlines due diligence, contract review, and market research workflows, drastically reducing manual processing time.

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3
Use case
Unlocking travel discovery
Context

Booking.com integrated OpenAI’s GPT models with its extensive proprietary data on properties, pricing, and availability to develop an AI Trip Planner that converts natural language queries into personalized itineraries. The team rapidly built the solution in 10 weeks by leveraging existing ML infrastructure and fine-tuning the model on both structured and unstructured data, which also powered additional tools like Smart Filters, Property Q&A, and AI Review Summaries. This innovation transformed travel discovery, search, and customer support processes.

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Use case
Real-time code support
Context

Bito implemented AI-powered developer agents by integrating Anthropic's Claude and leveraging Claude 3.7 Sonnet for advanced reasoning into its code review and coding workflows. They utilized Anthropic’s robust API and developer-friendly infrastructure to embed an AI Code Review Agent and Bito Wingman directly within developers’ Git workflows and popular IDEs, enabling automated analysis of pull request diffs and code architecture. This integration streamlined code review, error detection, and code generation processes while upholding security standards.

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2
Use case
Complex code navigation
Context

Augment code integrated Anthropic's Claude within Google Cloud's Vertex AI to develop an AI-powered code assistant that provides expert-level contextual understanding of complex software systems. By automating code comprehension, debugging, documentation, and change propagation within development workflows, the solution dramatically reduced project timelines and sped up developer onboarding while ensuring SOC 2 Level 2 compliant security protocols.

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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.

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2
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.

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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.

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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.

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2
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.

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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.

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Use case
Unified dev workflows
Context

Factory built a command center for software development by embedding OpenAI’s reasoning models directly into its platform’s workflows. They integrated specific models—using o1 for complex architectural planning, o3‑mini for rapid exploration and bug triage, and GPT‑4o for real-time code generation—across various stages of the development lifecycle. This implementation streamlined coding, design, review, and knowledge retrieval processes by reducing manual research and minimizing context switching, enabling developers to focus on high-leverage tasks.

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3
Use case
Automated job title classification
Context

Aura Intelligence integrated Anthropic's Claude via Amazon Bedrock into its data pipeline to automatically classify over 200 million job titles and industry pairings from multi-language data, replacing manual lookups and fuzzy matching. They fine-tuned foundation models on proprietary datasets and leveraged AWS infrastructure, including SageMaker and prompt management, to automate QA, report generation, anomaly detection, and real-time hiring trend analysis.

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2
Use case
Faster AI upskilling
Context

Section partnered with Anthropic to utilize Claude for comprehensive AI upskilling and strategic workforce transformation. They implemented Claude by uploading board materials to generate strategic feedback and deployed it across marketing, education, and leadership teams to enhance content creation, training frameworks, and decision-making processes. This integration streamlined internal operations and redefined workforce development workflows.

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1
Use case
Automated financial analysis
Context

Endex built an AI Analyst platform that leverages OpenAI's reasoning models (GPT‑4o, o1‑mini, o1‑preview, o3‑mini, and o1 vision) to retrieve, analyze, and synthesize complex financial data. The solution integrates internal data, public disclosures, and financial reports to automate processes such as due diligence, earnings analysis, and investment committee memo preparation using reinforcement learning fine-tuning and performance tracking, transforming traditional manual workflows into streamlined AI-driven processes.

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4
Use case
Efficient customer support interactions
Context

Uber uses OpenAI's ChatGPT Enterprise to enhance customer support by providing AI assistants that offer empathetic and efficient responses, automate investigations, and augment human agent capabilities. The AI also helps personalize and optimize interactions across their multi-sided platform.

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Use case
Efficient customer service
Context

Amazon uses Claude to power their AI-driven customer service assistant, Amazon Q in Connect, which serves agents and end-customers. It provides real-time AI assistance to agents handling complex cases and offers end-customers instant, personalized self-service options.

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Use case
Efficient technical interviews
Context

micro1 uses Anthropic's Claude to conduct AI-powered technical interviews, automating over 3,000 interviews per day. Claude evaluates technical skills through dynamic conversations, providing consistent, unbiased assessments and creating anxiety-free interview experiences.

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1
Use case
Rapid geospatial processing
Context

Picterra integrated Google Kubernetes Engine (GKE) and Google Earth Engine into its geospatial AI platform to efficiently process and model ultra-high resolution terrain data. They implemented scalable infrastructure on GKE to dynamically handle massive geospatial workloads, enabling rapid analysis of satellite imagery and digital terrain modelling. This streamlined climate change data analysis workflows across entire countries.

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2
Use case
Support scaling
Context

Intercom, a leading customer service platform, integrated Claude from Anthropic into their AI agent Fin to automatically resolve up to 86% of customer support queries with human-quality, personalized responses in over 45 languages. This implementation reduces response times from 30 minutes to seconds and enables human agents to focus on more complex issues.

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2
Use case
Accessible study support
Context

StudyFetch built a comprehensive learning platform powered by Claude, providing personalized learning experiences through their AI tutor Spark.E. The platform analyzes lectures, generates study materials, and offers 24/7 tutoring support in over 20 languages, enabling students to master complex subjects with tailored, interactive assistance.

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2
Use case
Intuitive hotel search
Context

trivago integrated Google Cloud’s Vertex AI Search into its hotel discovery platform, enabling users to search using natural language with advanced LLMs. The AI was tailored to interpret free-text queries and integrated into existing search workflows to deliver personalized hotel recommendations. This reconfiguration improved search accuracy and user efficiency by transforming traditional, rigid search parameters into an intuitive discovery process.

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1
Use case
Democratizing AI access
Context

BBVA, a global financial institution, widely adopted ChatGPT Enterprise, creating over 2,900 custom GPTs within five months. By integrating ChatGPT into various departments, BBVA empowered its 125,000 employees to develop tailored AI solutions that enhance efficiency, spark creativity, and streamline workflows. This democratized AI access enabled rapid prototyping, reduced project timelines from weeks to hours, and facilitated the sharing of expert knowledge across the organization.

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2
Use case
Scaling renewable energy asset management
Context

AES uses Claude on Google Cloud’s Vertex AI to automate their safety audit process, employing a multi-agent system to analyze documents, break down tasks, and generate reports. This system processes hundreds of pages, evaluates compliance, and produces detailed audit reports in about an hour.

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2
Use case
Local search visibility
Context

Local Falcon, a platform that helps businesses improve their Google search rankings, utilizes Anthropic's Claude to analyze millions of customer reviews. This enables them to deliver clear, actionable recommendations, enhancing their clients' local search visibility.

Models/tools
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1
Use case
Streamlined routine legal tasks
Context

Clifford Chance, a global law firm, adopted Microsoft 365 Copilot and Microsoft Viva to streamline tasks, automate processes, and enhance collaboration. Lawyers use Copilot to draft and manage emails, track new legislation, and ensure compliance, allowing them to focus on complex legal work. They are exploring Copilot Studio to create agents for compliance and other tasks.

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3
Use case
Automate sales workflows
Context

Rox, a sales platform, integrated OpenAI’s GPT-4o, GPT-4o mini, and Realtime API into their system to create a three-tiered AI-powered assistance platform. This includes data unification, complex reasoning, and interaction layers, enabling the Rox Agent Swarm to automate repetitive tasks and provide actionable insights, increasing sales reps' productivity by 50%.

Models/tools
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3
Use case
Faster event planning
Context

Thoughtworks implemented an AI-powered enterprise event planning solution leveraging Google's Gemini Pro multimodal capabilities. The system analyzes historical data, regional event schedules, customer shopping insights, and enterprise strategic guidance to automatically generate a personalized event calendar complete with campaign details, promotion types, image assets, and recommended schedules. Marketing teams interact with an integrated AI assistant to review, adjust, and approve event proposals, significantly streamlining their planning process.

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1

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