Risk-managed transition, not a big bang

Legacy modernisation and support

Legacy systems, modern expectations - stabilisation, modernisation and ongoing support

Legacy modernisation and support

Python → Java/Angular

AngularJS migration

Java 8 containerisation

Selected clients

What most large organisations will recognise

Nobody dares to touch it

Every organisation has a system that everyone knows is a problem - yet nobody dares to touch it. The original developers left long ago. Documentation is patchy or non-existent. Change one thing and at least two others break. Sound familiar?

It works - but at a rising cost

The legacy system still does its job, but maintenance costs rise every year. Every small change takes a disproportionate amount of time and money. Technical debt accrues interest - and it keeps getting more expensive.

Integration is impossible

New digital solutions cannot be connected to the old system. There is no API, no documentation, and modern tools cannot read outdated formats. Digitalisation hits a wall at the legacy system.

NIS2, GDPR, central bank requirements - compliance keeps getting harder

Regulatory expectations in financial services keep tightening. A legacy system that has not had a security update in years is increasingly hard to defend in an audit - and an ever greater risk.

How we work

Three ways out of a legacy system - your risk profile decides which

There is no single right recipe. Sometimes stabilisation and documentation are enough, sometimes a gradual replacement is needed, and sometimes a full replacement carries the lowest risk. We assess first, then recommend - and we see the chosen path through to go-live and beyond.

If it still works

Stabilisation and support

If the system still works but is fragile, we stabilise it, document it and run it under an ongoing support arrangement - as a managed service or on an hourly basis, whichever suits you. For example, we containerised a Java 8 insurance application and continue to support it: it still runs today, securely and fully documented.

Incremental modernisation

Not a big bang, but a strangler fig approach: we gradually replace critical functions with modern components while the system keeps running. In financial services this is often the only safe route - you cannot switch off a core system for a week.

If it needs to evolve

If it can't be sustained

Full replacement and migration

Where an incremental approach is not enough, we plan and execute a full system migration - from data migration and integration architecture to testing and cutover.

System assessment and modernisation roadmap

Before we touch anything, we map the system: architecture, code quality, dependencies, data model and security risks. The result is a decision paper - stabilise, modernise incrementally or replace - with costs and risks attached.

Before deciding

Why financial institutions and large enterprises trust us with their legacy systems

We know financial services from the inside

Our team has backgrounds in insurance, banking and leasing. We know what an outage of a mission-critical system means for an insurer, and we know what a central bank audit will ask. You don't need to explain the context.

We don't just modernise - we stay on afterwards

Most IT firms deliver the project and leave. We also work under ongoing support models, as a managed service or on an hourly basis. If something breaks overnight, we are the ones who respond.

Senior-only team, low turnover

On legacy projects it is especially critical that the expert who has learned the system doesn't leave six months later. Turnover at FrontX is low, so system knowledge stays with the team.

Technology-agnostic approach

We are not tied to any single platform. Java, .NET, Python, containerisation, cloud migration - the business need and the risk profile decide the right direction.

Legacy modernisation in practice

Modernising a vehicle inspection and fleet yard management system

We rewrote a Python-based system supporting vehicle condition assessment and yard management on Java Spring Boot and Angular. We redesigned the entire database structure and developed and tested the data migration procedures. As the system serves around 25 companies with a large number of live users, cutover had to happen in a single step - so migration preparation and testing were critical.

Python
Python
Java
Java
Spring Boot
Spring Boot
Angular
Angular

Containerising a Java 8 application with ongoing support - insurance company

We containerised an insurer's Java 8 business application so it continues to run in a stable, reproducible environment, and we support it under an ongoing support arrangement. The system still runs today, securely and fully documented.

Java
Java
Spring Boot
Spring Boot
Docker
Docker
Git
Git
GitHub Copilot
GitHub Copilot

Front-end modernisation of a broker portal - insurance company

We migrated the front end of an insurer's broker portal from AngularJS (1.x) to the current version of Angular, using AI-assisted development. The constraint was that the back end could not change: the new front end builds on the existing interfaces, leaving business logic and integrations untouched.

Angular
Angular
Git
Git
GitHub Copilot
GitHub Copilot
All case studies →

Legacy modernisation FAQs

Related regulation and sources

Have a system nobody dares to touch?