Your legacy system modernisation partner, starting with an honest audit

Person holding a phone showing the KickTown app, built on a Laravel backend by Storm Digital

Most systems that need modernising didn't start out badly built. They picked up years of small decisions, departed developers and features bolted on under deadline, until nobody's quite sure what's safe to touch. The same audit-first approach we bring to a fresh build applies here too: understand what's actually there before changing any of it.

Pictured: KickTown, running on the Laravel backend we'd build a modernised system on. Whether that's where an old system ends up depends on what the audit finds, not a decision made in advance.

What's included

An old system's biggest cost is usually the unknowns: what breaks if you touch this, what's actually load-bearing, what's dead code nobody removed. We'd rather spend time answering that upfront than find out during a rebuild.

Codebase & architecture audits
Incremental modernisation, feature by feature
Full rebuilds where a system is genuinely past patching
Data migration with a tested rollback plan
Integrating legacy systems with modern APIs
Ongoing support & maintenance

Common questions

How do you decide between fixing a system incrementally and rebuilding it?

The audit tells us, not a default preference. A system with a sound structure but dated dependencies usually gets fixed in place. One where the architecture itself is the problem usually doesn't, however tempting a quick patch looks.

Does the system need to go offline while you work on it?

Rarely, and never without agreeing that with you first. Most modernisation work happens alongside the live system, with a phased cutover once the replacement's been tested against real data.

What if the existing system isn't built in Laravel or PHP?

We can still audit it and tell you honestly what state it's in. Where the actual rebuild work happens, that's where our own stack comes in, so the assessment is independent of what you're currently running.

How do you handle the risk of losing data during migration?

We migrate into a staging environment first and test it against real data before anything touches production, with a rollback plan agreed before we start, not improvised if something goes wrong.

What happens after the system's modernised?

The whole point is that it doesn't quietly turn back into the same problem in three years. Ongoing support means dependency updates and small fixes happen as they come up, instead of piling up until the next audit.