Banco Bradesco builds BRIDGE generative AI platform on Azure Red Hat OpenShift connected to Azure OpenAI for multi-agent initiatives
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.
Reported outcomes
79%
internal support resolution rateOther quantified impact
Strategic outcomes
Primary read
Use case focus
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- 1Workflow automation
- The bank developed BRIDGE, a unified generative AI platform built on Microsoft Azure Red Hat OpenShift.
- The platform orchestrates containerized AI microservices with high availability and built-in security-focused features.
- BRIDGE supports simple text generation through multi-agent systems and integrates multiple LLMs, including Azure OpenAI.
- The modular architecture lets business teams create and manage AI agents with minimal technical complexity while maintaining governance and compliance.
- BRIDGE now supports more than 500 active generative AI initiatives.
- The bank achieved a 10-fold reduction in AI solution integration cycles.
- It achieved a 10-fold increase in agility in delivering informational agents.
- The platform supports a 79% resolution rate in internal support.
- It drove a 37% acceleration in development.
- It drove a 64% increase in user story creation efficiency.
- The bank performs more than 1,000 automated code reviews each month.
- More than 10 million customers have engaged across 25 million interactions using generative AI, achieving an 87% resolution rate.
Architecture
BRIDGE is a unified generative AI platform running on Microsoft Azure Red Hat OpenShift. It orchestrates containerized AI microservices, supports multiple large language models, and connects to Azure OpenAI and other external models (including OpenAI, Google, and Meta) under centralized governance and regulatory controls.
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