USE CASE: DATA MODERNIZATION
Sanciti AI migrates legacy ETL workflows to cloud-native data pipelines, preserving every transformation rule and proving the outputs match. A financial services company completed its ETL migration with zero data loss at 50% lower cost than the manual rewrite estimate.
Proprietary ETL platforms get more expensive each year, and the transformation logic inside them cannot be moved easily. Years of business rules live in jobs that nobody has documented in their current state.
Testing is the other gap. Many teams still check transformations manually on a sample of records, so most data paths are never tested. In regulated industries, one missed transformation error can end up in a regulatory report.
| Measure | Result for a financial services company |
|---|---|
|
Data loss |
Zero, with all transformation logic preserved |
|
Modernization cost |
50% lower than the manual rewrite estimate |
|
Parity validation |
90%+ automated across all transformation paths |
|
New data products |
25 to 35% faster time to market |
|
Licensing |
Legacy ETL license costs removed |
FAQS
Yes. RGEN extracts the transformation logic and lineage from legacy ETL workflows, and CodeGen rebuilds them as cloud-native pipelines.
TestAI compares legacy and new pipeline outputs across every transformation path. The financial services migration reached 90%+ automated parity coverage with zero data loss.
In the financial services project, the legacy license costs and vendor dependency were removed after the move to open, cloud-native processing.
Share a set of ETL jobs. We will show you the lineage and logic RGEN extracts before any code is rewritten.
Full-service framework including:
Generates Requirements, Use cases, from code base.
Generates Automation and Performance scripts.
Code vulnerability assessment & Mitigation.
Production support & maintenance, Ticket analysis & reporting, Log monitoring analysis & reporting.
AI-Powered Legacy Modernization That
Accelerates, Secures, and Scales
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