Red Hat powers 3 source-linked AI deployments documented in AIUseCaseHub, across 3 industries and 3 countries. Documented deployments include AI agents.
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Use Cases
3
Industries
3
Countries
3
Agent Cases
2
Hyperscaler mix
Filter Red Hat's implementations by cloud provider evidence.
How Red Hat builds AIBuild, Buy & Compose — what they mean
Banco Bradesco, one of Brazil's largest private financial groups, built a scalable generative AI platform called BRIDGE on Microsoft Azure Red Hat OpenShift.The platform integrates multiple AI models, supports modular multi-agent creation for business teams, and connects to Azure OpenAI while embedding governance, security, and regulatory controls.BRIDGE serves internal support, development, operations, technology, and customer-service use cases across the bank.
Unipol Assicurazioni S.p.A. built NAMI as an AI-powered automation platform for IT operations and monitoring.The solution uses IBM watsonx Orchestrate, IBM Cloud Pak for Data and IBM Cloud Pak for AIOps with a hybrid cloud deployment.
The California Department of Health Care Services (DHCS) operates CA-MMIS, a complex Medi-Cal system that processes about 200 million claims annually for almost 15 million beneficiaries and also manages provider information and other administrative functions.To modernize the legacy platform, DHCS worked with IBM Consulting on a cloud-based Provider Portal proof of concept, using IBM Garage methods, Design Thinking, and Agile practices. The initiative replaced paper-based processes with fully electronic workflows, decommissioned low-value steps, and set a roadmap for a more secure, scalable multi-tenant environment on Red Hat OpenShift and AWS.