Legacy modernization — AI-powered, zero disruption
We use the latest AI tools to analyze, plan, and execute legacy modernization faster than ever — code analysis, migration planning, test generation. Old and new run in parallel, users migrate gradually, and there’s no go-dark period.
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The people you meet are the people who build it
Senior engineers lead every project. No bait-and-switch, no offshore handoff.
We don’t just automate what you have — we CREATE what you need
Most AI projects fail at step 2. Here’s how we avoid that.
Chart
Map your value stream before touching any technology. We find where time and money actually go — not where people think they go.
Reinvent
Redesign the process before automating it. Automating a broken process just makes the mess faster. This is where 90% of AI projects fail.
Enable
Train your team and build the change management in. AI adoption that sticks because it’s built in from day one, not bolted on at launch.
Automate
Build the AI. Custom automation, integrations, and production software engineered by senior US engineers — not offshore contractors.
Test
Rigorous testing and real production deployment. Not a pilot left in a sandbox — software your team actually uses, monitored from day one.
Evolve
Monitor results, measure ROI, and improve continuously. This is where AI investments pay for themselves — and compound over time.
Questions about legacy modernization
Will we have to freeze the roadmap or go offline?
No — that’s the whole point. We run old and new systems in parallel and migrate users gradually. No go-dark period, no frozen roadmap, no rewrite-purgatory.
How long does it take?
Phase 1 (the highest-impact module) takes 2-4 months. Full modernization ranges from 6-18 months. You get value every phase, not just at the end.
What legacy stacks do you work with?
.NET, Java/J2EE, PHP, ColdFusion, mainframe COBOL, classic ASP, Oracle Forms, MS Access, and dozens of custom frameworks. If it’s old, we’ve seen it.
What results can we expect?
A modernized stack that cuts engineering maintenance burden by 30-50% and accelerates feature delivery 3-4x within 12-18 months — while keeping your team functional throughout.