Move a business-critical legacy system off its aging stack without pausing the business or losing the logic that runs it.
Written scope and a fixed-scope proposal. No sales calls.
Business logic accumulated over years lives in code with no tests and no documentation. Every change carries the risk of breaking something that quietly matters, so changes stop happening.
The obvious answer — rebuild it — means running two systems, a long period with no new features, and a cutover that could take revenue offline. That business case rarely survives contact with a board.
End-of-life runtimes, unpatched dependencies, and a hosting setup that costs more each year. The deadline is external: a compliance review, a provider deprecation, or a failed penetration test.
Without an accurate technical baseline there is no scope, no sequence, and no credible estimate — so the decision gets deferred another quarter.
Read the codebase, infrastructure configuration, and data model to document what the system actually does — including the undocumented behaviour that the business depends on.
Business logic, data, and integrations are preserved. Framework coupling, dead code, and accumulated workarounds are not. This distinction is what makes modernization cheaper than a rewrite.
The plan is ordered so that the highest-risk, highest-value change lands first while the old system is still running. Each stage is independently deployable and independently reversible.
Build and test validation runs on every change, so the safety net exists before the first migration step — not after the last one.
Traffic moves when the new path is proven, with data integrity verified against the legacy source and a documented way back at every point.
Every claim below is drawn from a recorded engagement. Each links to its full case study, including the trade-offs that were accepted.
A monolithic PHP platform moved to an edge-native architecture inside a fixed 14-day window — the reference execution for this solution.
A public-sector document platform where the constraint was a 20-year archive that could not be disturbed and an accessibility mandate that could not be missed.
A healthcare platform modernized under compliance constraints, where the decisive choice was what NOT to rebuild.
Wider evidence: Legacy Modernization draws on 104 recorded engagements, from a corpus of 106 documented projects.
Whichever the baseline supports. Business logic, data, and integrations are preserved; framework coupling and accumulated workarounds are replaced. On the reference engagement a monolithic PHP platform moved to an edge-native architecture in 14 days precisely because the logic was carried across rather than reinvented.
Yes, and it is planned for from the start. The reference engagement completed a zero downtime cutover with 100% data integrity. Each stage of the plan is independently deployable and separately reversible.
That is the normal starting point. The first stage is a written technical baseline: what the system does, what the risks are, and what the sequence should be. It stands on its own — you can act on it with anyone.
You describe the system and the constraint in writing. You receive a written scope, an approach, and a fixed-scope proposal. There are no sales calls.
Describe the current stack, what makes it hard to change, the deadline forcing the decision, and the outcome you need without disrupting the business.
Describe your legacy systemYou describe the problem in writing. You receive a written scope, an approach, and a fixed-scope proposal.