AI Legacy Modernization

Modernize your legacy without stopping the business

The system that runs your business has no window to go down. We migrate in phases, with the new running alongside the old, after mapping every critical rule nobody ever documented.
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Phased migration,
with the operation never going down
AI-generated specs of the legacy
system in eight weeks
A map of the critical rules
before a single line of code moves

The problem

Where legacy sends the bill

The old system isn't only a technical matter. It sets what every new release costs, how much time the team loses, and the risk the operation carries every day.

Nobody knows what the system does

The business rules live in the code and whoever wrote them has left. Touching it is risky, and documenting it from scratch feels impossible.

Technical debt is throttling delivery

Every new feature costs more than the last. The team spends more time working around the system than building on it.

Stopping the operation isn't an option

The system runs the business. There's no window to shut it down and migrate, so modernization has to happen with everything live.

Maintenance costs keep climbing

Licenses for aging technology, on-premise infrastructure, and the handful of people who still know how to keep it alive. The bill rises every year.

How we think

Rewriting everything is the most expensive and riskiest path

A full rewrite erases years of business rules nobody documented, and only pays out at the very end — if it gets there. We'd rather map what the system actually does first, choose the strategy per component, and migrate in phases with the new running alongside the old. Every phase delivers value on its own.

What we modernize

From discontinued languages to legacy databases, discovery starts by understanding the current stack before proposing any path.

Legacy Languages

AI-assisted code analysis and migration from COBOL, Visual Basic, Delphi, or discontinued frameworks to stacks that are still supported.

Monolith to Microservices

AI-powered dependency mapping and decomposition of the monolith into independent services, via the strangler fig pattern — no big-bang cutover.

Cloud Migration

Moving off your own datacenter to AWS, Azure, or Google Cloud, with the strategy chosen per component.

Database Modernization

Upgrading legacy databases, with the rules that live in procedures and triggers mapped first.

Our modernization approach

Incremental modernization that keeps the business running, from mapping the critical rules to safely decommissioning the old system.

01

Legacy discovery

We map critical business rules, integrations, and risks, with AI-generated system specs. Eight weeks, ending in the migration plan.

02

Strategy per component

Not everything migrates the same way. Each part gets the right approach — rehost, replatform, refactor, or rebuild — by risk and return.

03

Phased migration

The new system grows alongside the old one and takes over function by function. The operation never stops, and returns land before the end.

04

Safe decommissioning

The legacy system only goes dark once every function has a validated equivalent in production, with a rollback plan at each step.

Strategies

Modernization strategies

The choice is made per component, not for the whole system. Each part gets the approach that makes sense for its risk and its return.

Why Luby

Modernize without erasing what works

Legacy holds years of business rules nobody documented. Recovering that knowledge before moving code is what separates a migration from a blind rewrite.

AI-generated specifications

We recover the documentation that doesn't exist by reading the code itself. That's what makes mapping a system nobody understands viable.

The operation never stops

Incremental migration with the new running alongside the old. No downtime window, no risky big-bang cutover.

Returns before the finish line

Every phase delivers value on its own. You don't wait two years to see the first benefit of modernizing.

Strategy per component

Rewriting everything is the most expensive and riskiest path. Rehost, replatform, refactor, and rebuild are chosen part by part.

Benefits

What modernizing buys you

Improved Performance

Faster response times and a better user experience on a modern architecture.

Reduced Costs

Lower maintenance and infrastructure spend on cloud-native foundations.

Enhanced Security

Modern security practices and compliance with current standards.

Better Scalability

Scale resources up or down as demand moves.

Faster Time to Market

Ship new features faster on modern development practices.

Future-Proof Technology

Built on supported, actively developed technology stacks.

The metrics we chase

The number the modernization answers to

Modernizing isn't an end in itself. The metric is agreed at the start and measured throughout the migration, phase by phase.

  • Maintenance cost

  • Time to ship a new feature

  • Availability during migration

  • Coverage of mapped business rules

  • Deployment frequency

  • Production incidents

Common questions about modernization

Industries

Where this already runs

The sectors this work shows up in most. See how it plays out in each.

Get in touch

Ready to modernize your legacy systems?

Tell us which system is holding the operation back and get an assessment with a migration plan within 48 hours. No commitment, no boilerplate proposal.

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