CASE STUDY • FINANCIAL SERVICES

Global Bank Achieves 65% Faster Core Banking Migration with AI Agents

How a Fortune 500 financial institution migrated 15TB of mission-critical banking data from mainframe to cloud in 4 months instead of 11, saving $2.4M while maintaining 100% data accuracy and regulatory compliance.

Timeline
4 months
vs 11 months traditional
Accuracy
100%
data accuracy achieved
Savings
$2.4M
total cost savings

Company Background

A Fortune 500 global financial services institution with operations in 45 countries, serving over 50 million customers. The bank processes billions of transactions annually across retail banking, commercial banking, and wealth management divisions.

Their core banking system ran on legacy mainframe infrastructure for over 30 years, creating challenges with scalability, innovation velocity, and operational costs.

The Challenge

Migrate 15TB of mission-critical core banking data from mainframe to cloud while maintaining zero downtime and full regulatory compliance.

Complex Data Structures

Over 2,500 tables with intricate relationships, stored procedures, and business logic embedded in the mainframe system.

Regulatory Requirements

Must maintain SOX, PCI-DSS, and Basel III compliance throughout migration with full audit trails.

Zero Downtime Requirement

24/7 banking operations across global time zones meant no maintenance windows for migration.

Timeline Pressure

Mainframe support contract ending in 12 months, creating hard deadline for migration completion.

The Solution

DataMigration.AI deployed a comprehensive AI-powered migration strategy using specialized agents for profiling, mapping, validation, and reconciliation.

Phase 1: Automated Discovery & Profiling

Profile AI analyzed all 2,500 tables, identifying data types, relationships, dependencies, and data quality issues in 2 weeks vs 3 months manually.

Completed in 2 weeks

Phase 2: Intelligent Mapping

Map AI automatically generated transformation rules for 95% of tables, with human review only for complex business logic.

95% automation rate

Phase 3: Continuous Validation

Quality AI performed real-time validation during migration, catching and correcting issues automatically before they reached production.

100% data accuracy maintained

Phase 4: Automated Reconciliation

Reconcile AI verified every record post-migration, generating compliance reports automatically for regulatory audits.

Full audit trail generated

Results & Impact

65%
Faster Migration
4 months vs 11 months traditional approach
$2.4M
Cost Savings
Reduced consulting and infrastructure costs
100%
Data Accuracy
Zero data loss or corruption incidents
Zero
Downtime
Seamless cutover with no service interruption

Additional Benefits

  • Maintained full SOX, PCI-DSS, and Basel III compliance throughout migration
  • Reduced ongoing operational costs by 40% with cloud-native architecture
  • Improved query performance by 5x with modern data warehouse
  • Enabled real-time analytics capabilities previously impossible on mainframe
"

DataMigration.AI's AI agents transformed what we thought would be an 18-month nightmare into a 4-month success story. The automated profiling and mapping saved us months of manual work, and the continuous validation gave us confidence we'd never had in previous migrations. We achieved 100% accuracy with zero downtime—something our previous vendor said was impossible.

👤
Robert Chen
Chief Technology Officer

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