Nubank, Latin America's largest digital bank with over 100 million customers, faced the challenge of delivering high-quality customer service at massive scale. Serving 61% of Brazilian adults required handling millions of customer inquiries monthly across multiple channels. Traditional banking relied on large call center operations, but Nubank's digital-first model demanded a more scalable, efficient approach that maintained the personal touch and quick resolution times customers expected.
Nubank deployed AI-powered customer service systems that autonomously resolved routine inquiries while seamlessly escalating complex issues to human agents. The AI analyzed customer account data, transaction history, and inquiry context to provide accurate, personalized responses. Machine learning models continuously improved by learning from agent resolutions and customer feedback, expanding the range of issues AI could handle independently.
“AI enables us to serve over 100 million customers with the same quality and care we delivered to our first thousand.”— David Vélez, CEO, Nubank
This case study is based on publicly available information about Nubank.
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