Measurableresults,simulatedscenarios

A European bank with 2.3 million lines of COBOL running on z/OS mainframes needs to migrate to Java/Spring Boot on Kubernetes. The codebase includes batch processing, CICS transactions, and complex business rules accumulated over 30 years.

Scriba AI's multi-agent pipeline parses COBOL copybooks, maps CICS transaction flows, converts batch JCL to Spring Batch, and generates idiomatic Java with full test coverage. Business logic is preserved line-by-line with semantic validation.

Projected delivery in 4 months instead of 18+ with manual rewrite. 87% cost reduction, zero business-logic regressions in validation.

An insurance group operates an 890K-line RPG/400 claims processing system on AS/400. The system handles policy lifecycle, automated claims adjudication, and regulatory reporting. Finding RPG developers has become nearly impossible.

Scriba AI converts RPG/400 to C#/.NET, preserving fixed-format data structures, screen flows (5250), and DB2/400 queries. The platform generates equivalent Entity Framework models and Razor Pages for the UI layer.

Full migration projected in 6 months. Modern tech stack enables 3× faster feature development. 84% total cost reduction vs hiring specialist RPG contractors.

A manufacturing company runs 420K lines of Python services handling real-time sensor data, predictive maintenance alerts, and supply chain optimization. Latency and throughput requirements have outgrown the Python runtime.

Scriba AI converts Python to Go, preserving concurrency patterns, gRPC interfaces, and time-series database integrations. The platform maps asyncio coroutines to goroutines and generates idiomatic Go error handling.

Projected 73% latency reduction, 4× throughput improvement. Infrastructure costs cut by 45% thanks to Go's lower resource footprint. Delivered in 3 months.