Banco Azteca cuts transaction response time from 13 days to 1 day and boosts productivity 50% with UiPath automation

Banco Azteca, one of Mexico's largest financial institutions, relied on labor-intensive, error-prone manual processes for high-volume tasks including batch processing, insurance claims management, and financial document review. Banking transaction clarifications averaged 13 days to resolve, creating significant operational bottlenecks. The manual approach also exposed the bank to potential regulatory penalties due to human error in document handling.

Banco Azteca deployed the UiPath Platform across a Center of Excellence, scaling from 15 initial automations to 190 production automations. The implementation used UiPath Document Understanding for intelligent extraction from structured and unstructured documents including ID validation for Mexican and international banking compliance, UiPath Insights for process performance visibility, Automation Hub for identifying high-impact opportunities, and the Action Center for streamlined validation workflows. AI and ML were layered on top to handle complex decision-making tasks.

Productivity increased by 50% and complex bot development time was cut in half. Transaction clarification response times dropped from 13 days to 1 day, with a substantial share of cases resolved within a single day. In life insurance claims management, 18,400 folios were processed and 237,000 documents validated in a single year, saving 7,300 working hours. The legal department generated over $200,000 in monthly savings, and the financial document review process now handles 1,300 documents daily with zero human error.

• Starting with a small pilot (15 automations) and scaling to 190+ based on demonstrated ROI is an effective strategy for large financial institutions adopting automation at enterprise scale.
• Document Understanding combined with RPA enables compliance-grade document processing for regulated banking requirements such as KYC identity validation.
• Layering AI/ML on top of RPA extends automation beyond repetitive structured tasks into complex judgment-based processes, multiplying business impact.