Legacy Modernization
Your legacy systems work — they're just slow, expensive to maintain, and impossible to extend. We modernize them into modern, AI-ready platforms without the big-bang risk.
The Problem
Every year you wait, maintenance costs rise, talent gets harder to find, and the gap between your tech and your competitors widens.
Legacy systems consume 60–80% of IT budgets just to maintain. That's money that could fund innovation.
Finding developers who know COBOL, Classic ASP, or legacy frameworks gets harder and more expensive every year.
Modern tools, AI capabilities, and new business requirements can't connect to systems built 15+ years ago.
Outdated frameworks and unsupported languages are prime targets for security breaches. Compliance gets harder every audit.
The Solution
We modernize module by module — no risky big-bang rewrites. Your business runs uninterrupted.
Modern stack designed to leverage AI, automation, and real-time data from day one.
Modern tech stacks cost 50–70% less to maintain and attract better talent.
Clean, modular architecture that evolves with your business for years to come.
Process
Comprehensive audit of your current systems — architecture, data, dependencies, and business logic that must be preserved.
Prioritized plan for incremental modernization — which modules to modernize first based on risk, ROI, and dependencies.
Module-by-module modernization with thorough testing. Each phase delivers working software before we move to the next.
Migrate historical data with complete validation. Every record verified, every relationship preserved.
Full documentation, team training, and knowledge transfer. Your team owns and maintains the modern system.
Best Fit
FAQ
No. We assess which components can be modernized incrementally and which need replacement. Most projects preserve 40–60% of existing business logic while modernizing the architecture around it.
Depending on complexity, $100K–$500K+. But compare that to rising maintenance costs ($50K–$200K/year and growing), plus the opportunity cost of being unable to adopt AI, automation, or modern integrations.
Every record is migrated and validated. We build data migration pipelines that handle format changes, data cleaning, and relationship mapping. Nothing gets lost.
Phased approach with parallel running. New modules go live alongside old ones until validated. We never turn off a working system until its replacement is proven.