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Agentic AI powered Legacy code migration

Case Study
Agentic AI

Impact

Transformed legacy systems with automated, low-risk code migration—cutting costs, accelerating timelines, and enabling scalable, modern architectures with enterprise-grade security.

Background

Modernizing IT infrastructure is essential for today’s enterprises—but legacy code migration is often costly, risky, and slow. Blackstraw’s Agentic AI platform revolutionizes this process, delivering automated, accurate, and scalable migrations from outdated systems to modern architectures while minimizing downtime and cost

Solution Highlights

Automated Code Ingestion: AI analyzes legacy program structures, inputs, and outputs with minimal manual effort.

Requirement & Flow Generation: Identifies dependencies and optimizes workflows for the target architecture using intelligent mapping.

Pseudo Code & Modern Code Generation: Translates legacy systems into modern languages like Python or OpenJDK while preserving full functionality.

Automated Testing & Execution: Generates and runs test cases to ensure functional parity and performance consistency.

Seamless Code Closure: Delivers production-ready, compliant code with full operational readiness.

Parallel Migration Scalability: Supports large-scale, multi-program migrations simultaneously to accelerate timelines.

Cost-Optimized Approach: Reduces scope creep and manual labor costs through intelligent AI automation.

Enterprise-Grade Security: Deployable behind client firewalls for maximum data privacy and compliance.

Key Benefits

Faster Migration: Accelerated migration timelines with AI-driven automation.

Lower Costs: Up to 50% reduction in manual effort and associated expenses.

Minimal Downtime: Reduced operational risks and business disruption.

Enterprise-Ready Security: On-premise deployment ensures full data privacy and compliance.

Future-Ready Systems: Delivers scalable, modern architecture to support long-term growth.

Agentic AI
Case Study