Case Study: a top-tier Latin American bank saves $30M annually with Devsu’s AI-native modernization engine

Top-Tier Latin American Bank saves $30M annually with Devsu

A top-tier Latin American bank faced significant challenges due to a fragmented legacy IT architecture comprising over 300 undocumented applications, primarily built in COBOL. This complexity consumed a massive portion of its IT budget, created high operational risk, and caused an estimated $80M in annual losses from inefficiencies and downtime. The bank engaged Devsu to eliminate this systemic technical debt and regain control over its digital ecosystem.

Devsu deployed its AI-native modernization engine, VelX, to address the challenge. The solution provided full system intelligence for faster discovery, created AI-driven blueprints for structured architecture, and enabled governed execution to modernize key systems safely. As a result, the bank achieved $30M in annual savings from system decommissioning and reduced rework, improved system uptime to 99%, and accelerated its discovery and design cycles by 90% and 60% respectively.