Problem Statement
Context
A UK-based financial services provider focused on consumer lending needed to migrate decades of customer and transactional data from a fragmented onpremonly estate to a modern cloud platform. Because those systems underpin live lending operations, any downtime was unacceptable. The migration also had to meet stringent regulatory and audit requirements for end-to-end data lineage, accuracy, and completeness.
Challenges
- Uninterrupted Service Continuity - The migration had to occur with zero downtime, ensuring lending decisions and customer servicing remained available throughout the cutover.
- RegulatoryGrade Data Integrity - Every record needed auditable, end-to-end lineage and completeness to satisfy GDPR and industry oversight—leaving no margin for data loss or mismatch.
- Complex, LargeScale Data Landscape - Decades of information spread across heterogeneous legacy systems—with inconsistent schemas and quality issues—had to be migrated quickly within tight overnight windows while maintaining accuracy.
- Limited Automation & RealTime Visibility - Existing manual scripts and fragmented tools offered little observability or repeatability, making it hard to spot recordlevel failures, validate success automatically, and shorten overall timelines.
Solution
TerraAI – a cloud-native, AI-powered data migration platform engineered for speed, scale, and auditability. The core functionality is delivered through:
Kubernetes-based Microservices for Orchestration and Scale
TerraAI is built on a containerised microservices architecture using Python and FastAPI, deployed on Kubernetes. This setup allows the platform to scale horizontally and run multiple components in parallel, dramatically improving throughput during data migration events. Each part of the migration lifecycle—from ingestion to transformation and validation—is modular and independently deployable, making the platform resilient, fault-tolerant, and highly scalable.
Config-Driven Transformation for Rapid Iteration
The platform embraces a configuration-over-code approach. Transformation logic—including complex source-to-target mappings—is defined in configuration files, enabling users to adjust migration rules without modifying or redeploying code. This drastically reduces iteration cycles and testing overhead, making it easy to adapt to new schemas or evolving business rules in real time.
Real-Time Visibility Through Dashboards
To ensure transparency and operational control, all transformation outputs—such as migrated records, errors, and exceptions—are streamed to a ReactJS-based dashboard. This provides users with real-time insights into record-level progress, success rates, and failure diagnostics. The live view supports faster debugging and helps operational teams track every stage of the migration pipeline without delays.
Automated Reconciliation and Audit Reporting
Once data has been migrated, TerraAI automatically performs reconciliation checks between the source and target systems. This validation includes completeness, accuracy, and data lineage verification. The platform then generates downloadable audit reports, ensuring stakeholders can certify the migration’s integrity. These built-in controls and traceability mechanisms ensure regulatory compliance and build confidence in the overall process.
Technologies
Impact
- Cut-over reduced from days to hours. The client completed the migration over a single weekend, with all systems fully operational before Monday trading.
- First-pass success rate exceeded 99.9%. Proactive data profiling and automated validation virtually eliminated post-migration rework.
- Manual effort reduced by ~80%. Engineers monitored real-time dashboards instead of running manual scripts, while business teams received live updates instead of end-of-day reports.
- Stronger regulatory confidence. Automatically generated reconciliation packs provided immediate, audit-ready evidence—removing the need for additional post-migration analysis.
More Case Studies
EaaS Cloud Native Development Accelerator
Cloud Platform Build for Financial Products
Implementing an Effective Composable Architecture for a Retail Lender
Leverage our extensive Cloud Services
expertise to achieve strategic business outcomes