Artificial Intelligence

Mainframe Modernization for a Top-10 U.S. Bank

A top-10 U.S. bank was running critical payment processing on 40-year-old COBOL mainframes. AidenAI deployed AiDAP's AI-powered discovery and code translation agents to analyze, translate, and validate the codebase — delivering a modern cloud-native platform at 50% the cost of a manual rewrite.

Mainframe Modernization for a Top-10 U.S. Bank

Customer Challenges

A top-10 U.S. bank was running critical payment and settlement processing on 40-year-old COBOL mainframes. Aging infrastructure, a shrinking COBOL talent pool, and the need to support real-time payment rails made modernization urgent.

Problem

  • 400,000+ lines of undocumented COBOL with no surviving original developers.
  • Manual code analysis estimated at 3–4 years for a full rewrite.
  • Real-time payment requirements (FedNow, RTP) impossible to implement on the legacy stack.
  • Integration with 23 downstream systems required parallel operation during transition.

Solution Highlights

AidenAI deployed AiDAP's AI-powered modernization agents to autonomously analyze, document, translate, and validate the COBOL codebase into Java microservices — running in parallel with the live mainframe during the transition.

  • AiDAP Discovery Agent mapped all 400,000+ lines of COBOL, generating full business logic documentation.
  • Technology Displacement Agent translated COBOL to idiomatic Java Spring Boot microservices with 97% confidence scoring.
  • Parallel Testing Agent ran 1.2M automated regression tests, validating output parity with the mainframe.
  • Canary deployment enabled gradual traffic migration with instant rollback capability.
  • New real-time payment capabilities (FedNow, RTP) added post-migration in 6 additional weeks.

Key Success Metrics

50%
Reduction in total migration cost vs. manual rewrite
6 mo.
Time to full production cutover
97%
Automated test coverage with confidence scoring