Room to change
A system nobody wants to touch becomes one your team can change again. The new architecture is sized for your next 10x, not just today's load, and releases are automated and repeatable, with rollback plans as standard.
Legacy modernization: change the system without stopping the business.
Legacy modernization is hard for one reason: the system you need to replace is the one running the business. We replatform it in stages rather than in a big-bang rewrite, so operations continue while the code underneath them changes. Work opens with an architecture review that leaves a documented baseline, every engagement follows a thirteen-phase lifecycle we publish in full, and you own all code and IP.
Why modernize
What modernizing a legacy system changes for the business.
An aging system rarely fails all at once. It gets harder to change and harder to connect, until it sets the limits of what the business can do. Modernization is worth the effort when it removes those limits. It can be engaged on its own or alongside our other service lines, and if the open question is whether to modernize at all, digital transformation consulting answers that first.
A path to AI
Modernization strategy connects legacy estates to AI-era capability. Once data and workflows sit on a modern platform, LLMs, retrieval pipelines and agent systems can be embedded into the products you already run.
Cloud, where it fits
Cloud-native architecture and migration on AWS or Azure sit in the same catalogue, so moving off aging infrastructure can be part of the same program as moving off aging code.
Support after launch
The new system gets observability, alerting and SLO tracking from day one in production, then patches and dependency updates on a defined cadence. A support retainer also covers systems already in production, ours or anyone else's.
How it runs
How a legacy modernization engagement runs.
Each step below sits inside the same published lifecycle, and none of them needs the old system to go dark. Our SDLC page explains what happens in every phase, what you review and what you approve.
01NDA, then a documented baseline
We sign an NDA before any technical discussion. Work on an existing system then opens with an architecture review and delivery audit, so every later phase runs against a documented baseline instead of assumptions.
02Choose the first piece
The right first piece is not always the most obviously broken one. It is whichever change delivers value fastest without destabilizing everything around it. You approve the scope, milestones and risk register before build begins.
03Build the safety net, then rebuild
Before code is replaced, AI-generated test suites, reviewed by engineers, cover the behavior that has to survive, and regression runs on every merge. The new piece is rebuilt to integrate with everything still running on the old system.
04Cut over, prove it, move on
Each piece is released through automated, repeatable deployments with a rollback plan. It proves itself in production before the next one starts, and you see a working demo at every milestone, with a written status you can forward.
In practice
The same method on three kinds of system.
Two of our industry pages apply the approach to a specific kind of business, and one anonymized engagement shows it on a larger platform.
Steel fabrication: an ERP alternative without a cutover
A big-bang ERP cutover throws away what still works: accounting integrations, purchasing history, reporting your team relies on. We start with the module that creates the most daily friction, often material tracking or job scheduling, and rebuild it to integrate with the rest. Read the steel fabrication ERP page.
Manufacturing: data out of systems that stay put
Shop-floor data integration reads from the PLCs and sensors a plant already runs instead of replacing them. It proceeds one PLC group at a time, and each phase is validated before the next starts. Read the manufacturing page.
Fintech: a core ledger platform rebuild
A legacy monolith replatformed to a cloud-native architecture, with AI-assisted test generation raising coverage while the release cycle shrank. Zero-downtime cutover, full IP transfer on completion. We name the sector, not the company. See our case studies.
What you can hold us to
What stays true on every modernization project.
The whole process is published
Every engagement runs the same thirteen phases, and the depth of each scales to the work. You approve requirements before design, architecture before development, and a working demo at every build milestone.
NDA first, and the code is yours
An NDA is signed before any technical discussion. Complete transfer of source code and IP is written into every engagement, so the modernized system belongs to you.
Your data stays under control
Client data stays in client-controlled environments wherever possible. When we must process it, scope and retention are agreed in writing first, and AI tools run under enterprise terms that exclude training on your data.
Start with a pilot
A fixed-scope pilot is the lowest-risk way to evaluate how we work: fixed price, fixed timeline, full IP transfer. The first piece of a modernization is a natural candidate. How we work sets out every engagement model.
Common questions
No. The system is replaced one piece at a time, and the rest of it keeps running while each piece is rebuilt to integrate with it. Each piece proves itself before the next one starts, so nothing goes dark during the transition.
A big-bang rewrite has to work perfectly on day one to justify its cost. It also throws away what the current system already does well, such as integrations, history and reporting. Replatforming in stages avoids that risk.
Yes. Work on an existing system opens with an architecture review and delivery audit, so the remaining phases run against a documented baseline rather than assumptions. Support and maintenance also cover systems already in production, ours or anyone else's.
AI-generated test suites, reviewed by engineers, are in place before code is replaced, and regression runs on every merge. Releases are automated and repeatable, with rollback plans as standard.
There is no price list, because scope drives price and honest scoping needs a conversation. The first piece of work can run as a fixed-scope pilot with a fixed price, a fixed timeline and full IP transfer.
You do. An NDA is signed before any technical discussion, and complete transfer of source code and intellectual property is written into every engagement.