Solution partner
Capgemini powers 6 source-linked AI deployments documented in AIUseCaseHub, across 6 industries and 5 countries. Documented deployments include AI agents, copilots, RAG.
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Hyperscaler mix
Filter Capgemini's implementations by cloud provider evidence.
Build / Buy / Compose across this partner's documented cases
5 of 6 cases classified (83%) · Compare all use-case types
Reported outcomes
1 case reports measurable results
−25%
Automation & deflection
median · 1 metric
Medians of results published in Capgemini cases, normalized for comparability. See all benchmarks →
Evidence persistence
2 of 2 judgeable cases are still publicly referenced · 1 show the organization expanding AI use.
Durability of public evidence, not whether systems remain in production. How this is measured →
IKEA Sweden collaborated with Microsoft and Capgemini to deploy a solution combining Dynamics 365 and Microsoft Power Platform. The IKEA Sales Tool streamlined their sales processes, enhancing customer engagement and operational workflows in the kitchen sales department. Multiple Power Apps-enabled systems centralized data and optimized scheduling for smoother resource allocation.
Fresenius Digital Technology GmbH (FDT) in Germany worked with Capgemini, ServiceNow, and Microsoft to build FreDi, a virtual assistant for IT support.FreDi is integrated with Microsoft Teams and the ServiceNow user portal to let employees report issues, check ticket status, approve requests, and connect to live agents without adding an external technology stack.
Unilever, a global consumer goods company, faced the challenge of complicated website navigation and low conversion rates due to customers struggling to find products and information efficiently. In partnership with Capgemini and Microsoft, Unilever implemented a multi-agent AI system built on Microsoft Azure, orchestrating a suite of specialized AI agents to deliver seamless, contextual, and multi-language customer experiences on their e-commerce platform.The multi-agent system leverages Azure AI, Azure OpenAI (GPT-4), Azure AI Search, Cosmos DB, and PromptFlow to power natural language interactions, personalized product recommendations, and adaptive global language support. An orchestrator agent intelligently routes queries to the right agent, while retrieval-augmented generation (RAG) enables the system to combine internal product and recipe data with external generative models for accurate, real-time responses.Key safety guardrails were implemented, including robust content moderation and prompt restrictions, ensuring secure interactions across use cases. The solution not only enhanced discovery and recommendation features but also improved order fulfillment by integrating with back-end shopping cart workflows.Notable business outcomes include faster and more accurate query responses, increased user engagement, improved conversion rates, and a frictionless global user experience, setting a new e-commerce standard for digital customer care.
National Gas, the operator of Great Britain's gas transmission network, faced urgent cloud migration and user provisioning challenges after divesting from National Grid. Without traditional laptops and working to tight deadlines, the company needed scalable, secure, and efficient remote access for in-house developers and other users spread across the UK.To address this, National Gas partnered with Capgemini to design and implement a greenfield Microsoft Azure environment, deploying Azure Virtual Desktop (AVD) as the core platform for secure access. Automation using Terraform Infrastructure as Code and Intune enabled rapid, policy-driven virtual desktop deployment for varied user groups.The project prioritized ease of onboarding, automation, enhanced security, and cost efficiency, establishing single-session virtual desktops and integrating Azure security practices like location awareness, conditional access, and Privileged Identity Management. Most provisioning activities, updates, and application deployments were automated, reducing manual intervention and third-party tool reliance.Self-service features and robust automation simplified support and enabled swift updates and onboarding. Options like OneDrive for local profiles addressed high storage costs, while automated machine deallocation further optimized overhead.The solution quickly supported hundreds, then thousands, of diverse internal users—from developers to scientists and vendors—delivering scalability and enabling secure, flexible work environments.Streamlined processes ensured AVD could adapt to a range of business cases and requirements, facilitating future projects and innovations.Overall, the migration achieved fast delivery, reduced complexity and costs, and paved the way for ongoing transformation and digital modernization at National Gas.
Capgemini, in collaboration with social enterprise Agrics East Africa, developed the Financial and Agricultural Recommendation Models (FARM) platform to address inefficiencies and low productivity among smallholder farmers in Kenya.The FARM platform integrates AI and machine learning, leveraging Microsoft Azure to collect big data on farming patterns and deliver data-driven recommendations for optimizing crop production, commercial decision-making, and farm automation.Embedded digital tools connect to mobile devices, expanding accessibility and practical use amongst farmers, buyers, processors, and value chain actors.The ecosystem built by Capgemini and Agrics provides commercial and agronomic insights, supports value chain collaboration, and promotes sustainable development in the agricultural sector.This initiative directly improves the income and food security of rural populations by optimizing value chain effectiveness and providing time- and location-specific farming products and services.
A US-based manufacturing company partnered with Capgemini to address inefficiencies and disparate data systems in their analytics infrastructure. To modernize operations, Capgemini designed and implemented a consolidated data-as-a-product architecture using Microsoft Fabric, integrating Azure, Microsoft 365 Copilot, and Azure AI Studio. The new platform centralized data sources, automated ingestion, and empowered business users with self-service analytics. As a result, the manufacturer reported significantly reduced infrastructure costs and improved performance, with a more agile and responsive business culture. The project allowed internal departments to focus on innovation instead of manual data management.Capgemini also leveraged workshops and consulting based on Microsoft Fabric best practices, building scalable, future-ready analytics tailored to the customer’s needs. Capgemini’s deep partnership with Microsoft and expertise in Fabric consulting enabled a seamless deployment, highlighting the benefits of end-to-end data platform modernization for manufacturing industries. The solution transforms how business leaders generate, access, and act on insights, setting a new standard for agile manufacturing analytics.