Bradesco increases audit efficiency by 65% with Azure OpenAI-powered document analysis

Banco Bradesco, one of Brazil's largest banks, faced a massive volume of audit documents requiring manual review and analysis. The traditional audit process was time-intensive and resource-heavy, limiting the bank's ability to scale its compliance operations efficiently.

Bradesco deployed Microsoft Azure OpenAI to automate the analysis and processing of audit documents. The system uses large language models to extract key information, identify anomalies, and generate audit summaries, transforming what was previously a manual multi-day process into an AI-assisted workflow.

Audit efficiency improved by 65%, significantly reducing the time required for document review and analysis. The AI-powered system enabled Bradesco's audit teams to handle higher volumes while maintaining accuracy and compliance standards.

• Audit document processing is an ideal use case for LLMs in banking, combining high volume with structured extraction needs.
• A 65% efficiency improvement in audit translates directly to cost savings and faster compliance cycles.
• Azure OpenAI provides the enterprise-grade security and compliance features required for sensitive banking audit data.