Legacy Systems Hold More Than Code.
Legacy applications carry years of embedded business rules, dependencies, and exceptions. Much of that operational knowledge may not exist in formal documentation.
AI can accelerate legacy system analysis and code transformation. But modernisation requires more than moving code to a new technology.
You need to know what must be preserved, what can safely change, and how the modernised system will be validated before production.
GFT Technologies combines AI-assisted capabilities from its Wynxx ecosystem with engineering expertise. This turns legacy complexity into evidence for better modernisation decisions.
AI accelerates the analysis. GFT Technologies experts govern the decisions.
Make Better Modernisation Decisions With Evidence
Use a clearer understanding of your systems to set priorities, apply AI effectively and establish the evidence needed for production readiness.
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Know What Your Business Depends On
Identify the processes, rules and dependencies that are critical to operations, so you can prioritise what needs attention.
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Decide What Stays and What Changes
Choose what to preserve, redesign, replatform or retire based on business priorities, system behaviour and technical dependencies.
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Put AI to Work Where It Matters
Target time-consuming tasks such as code analysis, documentation and test preparation. Let engineers focus on interpretation and exceptions.
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Keep Critical Decisions Under Your Control
Establish human review, clear accountability and traceable decisions at important stages of transformation.
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Validate Before You Go Live
Define what successful cutover requires. Use specifications, testing and validation evidence to establish functional equivalence where required and assess operational readiness.
