Driving efficiency and innovationin legacy modernization
Discover and plan
Quickly identify all legacy components and dependencies to create a clear migration roadmap. This enables accurate effort estimation and resource allocation from day one.
Interact withanalysis data
Access detailed insights from legacy application analysis. Teams can drill down into dependencies, integrations, and batch processes to make informed decisions and reduce migration risks.
Identify issues, apply solutions
Detect potential blockers such as unsupported utilities or complex integrations early in the process. Apply recommended solutions or leverage automated code adjustments to ensure compatibility with the target cloud environment.
Migrate data quickly and securely
Use integrated tools to transfer files and data from mainframe to cloud with encoding transformation capabilities and integrity checks.
Automate code transformation
Convert legacy COBOL and JCL code into cloud-ready code automatically, reducing manual effort and accelerating delivery timelines.
Test safely and thoroughly
Execute automated testing workflows, based on real data, to certify migration accuracy without requiring extended testing teams. Ensure consistent reporting for UAT and management.
Monitor project progression
Track migration status across multiple workstreams through centralized dashboards. Gain real-time visibility into execution logs, KPIs, and risk indicators for proactive management.
Train your teams
Provide access to videos, documentation, and AI-driven chat support trained with the expertise generated from previous migration projects. Avoid repeating mistakes and replicate proven strategies.
Apply structured methodology
Follow a standardized, hyperscaler-agnostic approach that ensures consistency, scalability, and cost optimization across all migration phases.