Western Union and Unum Use AWS Transform Agentic AI to Modernize Mainframe Systems
A baker's-dozen of insight crammed into one ring.
Summary
Western Union and Unum partnered with AWS and Accenture/Pega to modernize their legacy mainframe systems using AWS Transform, an agentic AI service for large-scale migration. Western Union modernized its 35-year-old money order platform, converting 2.5 million lines of COBOL code in ~1.5 hours and reducing project timelines from 3+ months to 6 weeks. Unum achieved a complete COBOL-to-cloud migration with testable applications in 3 months (compared to previous 7-year, $25 million estimates), eliminating 7,000 annual manual hours in claims management. The solution used composable agentic AI frameworks with multiple specialized agents working through orchestration layers.
Key quotes
· 5 pulledWestern Union aimed to modernize its 35-year-old money order platform to support growth targets and improve back-office operations
The solution leveraged composable agentic AI frameworks where multiple specialized agents worked together through orchestration layers
Results included converting 2.5 million lines of COBOL code in approximately 1.5 hours
Reducing project timelines from 3+ months to 6 weeks for Western Union
Achieving a complete COBOL-to-cloud migration with testable applications in 3 months (compared to previous 7-year, $25 million estimates), while eliminating 7,000 annual manual hours in claims management
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