Case Study: Banking and Financial Services

Core Banking, Modernized in 12 Weeks

AI-accelerated migration with 99.99% uptime, 68% cost reduction, and full compliance.
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Industry

Banking and Financial Services

Tech Stack

AWS , Docker , Kubernetes , Terraform , Jenkins , MongoDB , Redis , Kafka

Solution

Cloud Migration

Industry

Banking and Financial Services

Tech Stack

AWS , Docker , Kubernetes , Terraform , Jenkins , MongoDB , Redis , Kafka

About the Client

Our client, a U.S. community bank, was still running 1990s-era mainframes. They faced escalating maintenance costs and limited disaster recovery. Processing was nightly and batch-only. Regulatory pressure was growing. They couldn’t deliver real-time digital banking.

The Challenges

  • $2.3M annual mainframe maintenance
  • 3-hour daily batch windows; no real-time services
  • FDIC examination findings on outdated systems
  • Limited disaster recovery and operational visibility

Our AI-Powered Solution

  • AI-driven dependency mapping and risk assessment Machine learning mapped applications, data flows, dependencies, flagged blockers, and prioritized cutover with quantified risk scores.
  • Automated COBOL-to-Java conversion Automated COBOL-to-Java transpilation preserved business logic, generated unit tests, and enabled cloud-native CI/CD deployment practices.
  • Zero-downtime migration strategy Blue-green environments with progressive traffic shifting, health checks, and rollback guards ensured uninterrupted customer services during cutovers.
  • Real-time data synchronization Change Data Capture streamed updates with exactly-once semantics, keeping ledgers, payments, and customer profiles synchronized until cutover.
  • Comprehensive security hardening Implemented least-privilege IAM, HSM-based key management, segmentation, secrets vaulting, and policy-as-code with continuous scanning and patching SLAs.
  • 24×7 monitoring and support Follow-the-sun SRE and NOC coverage provided observability, alerting, on-call response, runbooks, and post-cutover stabilization SLAs.

Business Results

  • 68% reduction in IT costs; $1.8M annual savings
  • Batch processing down to 15 minutes
  • 99.99% system availability; faster customer transactions
  • 100% regulatory compliance maintained

Migration Timeline (12 weeks)

  • Weeks 1–2: AI-led assessment & plan
  • Weeks 3–6: Infra provisioning, identity & security setup
  • Weeks 7–10: App migration & data transformation
  • Weeks 11–12: Testing, optimization, go-live

Service

Cloud Migration

Industry

Banking and Financial Services

Technology

AWS , Docker , Kubernetes , Terraform , Jenkins , MongoDB , Redis , Kafka

What the Client Said

“Korcomptenz delivered exactly what they promised: a zero-drama migration, 68% lower IT costs, and 99.99% availability. We went from batch-only to real-time banking in weeks—while staying 100% compliant.”