Most organisations do not decide to modernise a system because it stopped working. They decide because the vendor stopped supporting it, the one engineer who understood it left, or every new feature now takes three times as long as it should. The system still runs; the risk is that it keeps running exactly until the day it cannot be fixed.
This work sits underneath our broader enterprise software practice, specifically for organisations replacing or re-platforming something that already exists rather than building from a blank page.
What We Offer
System and data audit
Mapping what the current system actually does, including the undocumented business logic and workarounds that accumulate over a decade, before deciding what to keep.
Incremental migration paths
Running the old and new systems side by side where the business cannot tolerate downtime, with a defined cutover rather than a single high-risk switch.
Data migration and reconciliation
Moving historical data with validation that the new system’s records reconcile against the old, not just that the migration script completed.
Integration continuity
Keeping every system that depends on the one being replaced working throughout the migration, not just on the day it goes live.
How We Help
The risk in legacy modernisation is rarely the new system. It is everything built around the old one over the years: reports that read a database directly, a batch job nobody remembers the purpose of, an integration held together by a script on someone’s laptop. We spend real time finding those before writing new code.
A second recurring problem is that "modernise" gets treated as "rebuild everything." Often the better answer is replacing the parts that are genuinely failing and leaving what still works alone, which is cheaper and lower risk than a full rewrite.
Our Approach
We audit before we propose. A modernisation plan written before anyone has read the existing system’s actual behaviour is a guess, and the client usually already has one of those from a previous vendor.
Where possible, we run new and old in parallel against the same data, so the comparison is a fact rather than an assumption at cutover.
Technologies We Use
Industries We Support
Related case studies
- Manufacturing ERP Where Scheduling Was the Competitive Edge: Packaged software for the commodity back office, custom engineering for the scheduling logic that differentiated the business, connected by a deliberate API layer.