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.

Capgemini partnered with Google Cloud to develop industry-specific agentic AI solutions that automate customer request handling across multiple channels such as web, social, and phone. The implementation integrates Google Agentspace, Customer Engagement Suite, and Agent2Agent interoperability protocol into existing customer service infrastructures to enhance personalized support, call routing, and workflow automation. This advanced solution transforms customer experience by streamlining communications and enabling proactive engagement.

wealthAPI implemented a next‐gen contract detection solution by integrating DataStax Astra DB on Google Cloud and leveraging Google Gemini models for AI‐powered analysis. They deployed DataStax’s vector search and real‐time insights capabilities to scale contract detection across millions of users in less than three months, streamlining wealth management workflows by dramatically reducing response times and efficiently handling massive data volumes.

Tidio integrated Anthropic’s Claude model to develop their Lyro AI agent, automating customer support interactions across both live chat and email channels. They implemented a network of specialized AI agents for conversation rating, summarization, and a dynamic routing system that selects the optimal API between native Anthropic API and Google Cloud Vertex AI based on performance metrics, streamlining support workflows and enabling personalized product recommendations.

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.

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.

Dataïads built an AI-powered “Post-Click Experience” system that automatically generates personalized landing pages by analyzing user context such as ad origin, product type, and behavior. The solution is implemented by integrating API access from Google Ads with Google Cloud managed services (Cloud Run and BigQuery) for automated scaling and controlled cost management, while planning to incorporate Vertex AI for further optimization. This implementation directly enhances ad campaign management and improves ecommerce conversion processes.

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.

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.

BMW Group implemented a cloud-based mobile data recorder (MDR) system by installing IoT devices in development cars to automatically capture and transmit extensive vehicular telemetry to Microsoft Azure. They built a comprehensive platform using Azure IoT Hub, Azure App Service, and Azure Kubernetes Service, and integrated Azure OpenAI Service with GPT-4o via Azure AI Foundry to create an MDR copilot that converts natural language queries into Kusto Query Language (KQL). This solution streamlined real-time data capture, analysis, and troubleshooting, accelerating vehicle prototyping and enhancing development quality.

Developed a GenAI solution leveraging Azure OpenAI Service to analyze, classify and structure unstructured medical records into interactive patient histories and a case DNA for improved decision support.

Dynamic Health Systems built its VitruCare365® platform on Microsoft Cloud for Healthcare by integrating Microsoft Azure, FHIR, Dynamics 365, and Azure OpenAI Service to deliver personalized patient apps and AI-powered chatbots. They deployed a retrieval augmented generation technique with custom RAG Flag technology and integrated the solution within Microsoft 365 for telemedicine consultations, appointment scheduling, and motivational care planning. This comprehensive integration automated patient engagement and care plan management, streamlining clinical workflows.

Gojob developed Aglae, a virtual assistant powered by Azure OpenAI Service to automate candidate engagement and prequalification via text messaging. They implemented a system that leverages large language models and customized prompts to search a database of 2 million profiles and conduct natural language conversations, while personalizing the assistant for each recruiter. This integration streamlined the recruitment workflow by reducing screening time and allowing recruiters to focus on high-value interactions.

Mercedes-Benz expanded its strategic partnership with Google Cloud to integrate an AI-driven conversational search capability into its MBUX Virtual Assistant. They implemented Google Cloud’s Automotive AI Agent built on Gemini on Vertex AI to access real-time navigation data from Google Maps Platform, enabling multi-turn, natural language dialogue and personalized recommendations that transform in-car navigation and user interaction.

Built an AI-powered knowledge base on Azure leveraging AI search and the generative AI tool Ask Eddy to streamline online documentation and service delivery.

Pets at Home built an AI agent using Microsoft Copilot Studio integrated into its unified Azure data platform that consolidates disparate systems from its retail stores, online channel, veterinary clinics, and grooming services. This agent empowers the retail fraud detection team by rapidly scanning extensive transaction data to identify anomalies such as duplicate images in fraudulent claims, thereby streamlining fraud investigations. The implementation required minimal coding and seamlessly connected existing systems while ensuring strict data privacy within the company ecosystem.

Medigold Health, a UK occupational health provider, used Microsoft Azure OpenAI Service to automate medical report generation, reducing the time clinicians spend on paperwork. By integrating Azure OpenAI Service with Azure App Service, Azure Cosmos DB, and Azure SQL Database, they developed an AI application that generates reports from clinicians' consultation notes in about 15 seconds, allowing clinicians to focus more on patient care.

Zalando worked with OpenAI to develop the Zalando Assistant, an AI-powered tool powered by GPT-4o mini that provides personalized content recommendations and streamlines product discovery across 25 markets in over 20 languages. They enhanced their evaluation framework with component-specific evaluations and improved few-shot prompting, and migrated from GPT-3.5 to GPT-4o mini for better multilingual and instruction-following capabilities.

Properstar integrated Microsoft Azure OpenAI Service to analyze unstructured property descriptions and extract important property features, enabling enriched data for listings. They combined this with Azure AI Search to build a dynamic filtering system that differentiates between mandatory and optional criteria, streamlining the property search process across global markets. The solution further supports robust market analysis and scalability.

Built an AI-powered system using Azure OpenAI Service to automatically read and categorize property contracts, apply legal rules, and generate automated assessments; integrated a digital assistant to answer citizen inquiries and support staff upskilling.

Doctolib leverages Microsoft Azure OpenAI Service and Mistral Large on Azure to develop an AI-powered virtual assistant that transcribes medical consultations in real-time and generates summaries within 15 seconds, allowing practitioners to focus more on patient care.

LALIGA, one of the largest football leagues in the world, deployed Microsoft Azure Arc to manage its hybrid infrastructure and ensure low latency at its 42 stadiums. It uses AI in Azure to optimize match scheduling and other key operations, providing an engaging fan experience.

SACE, an Italian finance and insurance firm, uses Microsoft Copilot and Viva to streamline workflows and empower employees. Copilot reduces routine tasks like document sifting and email management, halving time spent on emails and speeding up loan application reviews. Viva supports Copilot adoption, helping reveal collaboration patterns and enabling initiatives like a flexible workweek.

Commerzbank partnered with Google Cloud to automate its financial advisory documentation process by integrating a multi-step generative AI pipeline. They implemented a user-friendly frontend and Java Spring backend to import and chunk client call recordings stored on GCP, which were processed using Gemini 1.5 Pro for diarized transcription, fact extraction, and summary generation, with quality assurance provided by Vertex AI Gen AI Evaluation Service. This automation streamlined the regulatory documentation workflow, enabling sales advisors to focus on high-value client engagements.

Parloa built an AI-powered customer service automation platform using Azure Cognitive Services and Azure OpenAI Service to provide human-like interactions across phone, chat, and messaging apps.

Dentsu built a predictive analytics copilot leveraging Azure AI Foundry and Azure OpenAI Service to enable conversational access to media insights for campaign planning and budget optimization. They implemented the solution using loosely coupled microservices on Azure Kubernetes Service with API-based integration and GitHub GenAIOps Prompt Flow templates, embedding it within their existing business applications. The system was governed through shared modules to ensure responsible AI deployment and streamline media analytics workflows.

Integrated generative AI into ABB Ability Genix to power Genix Copilot, enabling natural language queries for real‑time industrial data insights.

Iconem captured over 400,000 high-resolution images using advanced photogrammetry techniques (drones, cameras, lasers) over a three-week period, which were processed by Microsoft’s AI for Good Lab on Azure to create an ultra-precise digital twin of St. Peter’s Basilica. The AI-driven model was refined with millimeter-level accuracy to detect structural vulnerabilities and enhance both interior and exterior visualizations, thereby supporting immersive, interactive exhibits and online cultural access.

Zurich Insurance Group uses Azure OpenAI Service to develop advanced AI applications in underwriting, improving risk assessments and accelerating the underwriting process. By leveraging Azure OpenAI Service's advanced language AI and text-to-speech models, Zurich can process unstructured data like reports, images, and emails in various languages across its global operations.

Legrand, a global leader in electrical and digital building infrastructures, co-developed AI-powered tools Gaia and Elia using Azure OpenAI Service to streamline product data management and improve customer support. Gaia helps generate accurate, localized product descriptions, while Elia is an AI-powered chatbot that provides quick, accurate access to product information.