Normalized claim
Quantified impact: 94%
Integration of 94% of customer transactions into digital channels.
Last evidence check: Jul 22, 2026
Banco do Brasil leverages AI and Azure to transform banking operations
Use case typeDigital bankingUpdated Jun 13, 2026
Banco do Brasil, a leading state-controlled Brazilian bank, is undergoing a comprehensive digital transformation, emphasizing AI and Generative AI. A key highlight is the deployment of Aladin, an AI-powered conversational agent supporting anti-money laundering analysts by synthesizing regulatory and public information for efficient case evaluations. Additionally, the bank utilizes generative AI to deliver personalized customer offers and insights. Over 300 systems operate on its hybrid cloud platform, leveraging Microsoft Azure for scalability and innovations. Since 2016, technology investments have exceeded 38.4bn reais. Strategic goals include improving customer experience, operational efficiencies, and compliance advancements.
- Organization
- Banco do Brasil
- Industry
- Finance
- Location
- Brazil
- Published
- May 2025
Reported outcomes
+82.5%
quantified impactRevenue & growth
94%quantified impact
Strategic outcomes
Risk & complianceImproved anti-money laundering case evaluationCustomer experience & trustDelivered personalized customer offers and insightsScale & capacityMoved core systems to hybrid cloud infrastructureSpeed & agilityStreamlined digital banking operations
Catalog median for revenue & growth deployments: +40% across 68 reported metrics. Compare benchmarks →
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Quantified impact: 82.5% increase
Enabled 82.5% growth in business accounts opened via the digital platform.
Last evidence check: Jul 22, 2026
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Banco do Brasil
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- BNamericas
Strategic goals include improving customer experience, operational efficiencies, and compliance advancements
Customer identity supportedSource describes one deploymentMaturity supported
Primary read
Use case focus
Showing 3 of 3
- 1anti-money laundering assistant
- 2personalized marketing
- 3digital transformation
- Efficiently analyze anti-money laundering cases amidst increasing workloads.
- Enhance customer personalization for diverse banking needs.
- Transition legacy infrastructure to scalable cloud platforms.
- Maintain operational excellence handling billions of transactions daily.
- Developed Aladin, a conversational AI agent for regulatory and document insights.
- Integrated generative AI tools for personalized customer offers and insights.
- Operated over 300 systems on a hybrid cloud infrastructure.
- Leveraged Microsoft Azure to power AI capabilities in operations.
- Reduction in manual workload for anti-money laundering investigations.
- Integration of 94% of customer transactions into digital channels.
- Enabled 82.5% growth in business accounts opened via the digital platform.
- Streamlined daily operations with over 3tn IT transactions in 2024.
Architecture
The bank operates over 300 systems on a scalable, hybrid cloud infrastructure using Microsoft Azure. Applications like the conversational agent Aladin leverage AI and provide regulatory insights, which are integrated into the bank's automated processes handling millions of daily operations.
Sources & evidence1
Evidence: Medium60/100Evidence strength
- Customer explicitly identified
- Deployment status explicitly supported
- Quantified outcome available
- Technical implementation details available
- Recent evidence check available
- Last evidence check: Jul 22, 2026.
Live sourceStill referenced
The case's original source is still reachable.
- Cited source last checked Jun 12, 2026 — ok (0/1 broken).
Measures whether this deployment's public evidence persists — not whether the system is still in production.
Published: May 11, 2025Publisher: BNamericas
AI-generated summary. Verify important details with the linked sources before relying on this case.
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