Application Modernisation
Old systems retired in steps, while the business keeps trading.
Why It Matters
The systems that carry core work are often the hardest to change. The people who built them have moved on, the code is poorly documented, and each change takes longer than the last.
A full replacement is one of the riskiest projects a business can run. It must match years of behaviour before it can replace anything, while the business keeps changing. Many such projects run long and launch with gaps.
What We Do
Assessment and Roadmap
A plain view of what the old system costs and the order to replace it.
AI-Assisted Refactoring
We restructure old code in steps, with tests that prove it still behaves.
Step-by-Step Replacement
Parts move to the new system one at a time, with no big cutover.
Database Migration
Data moves with its history intact and the old system still available.
Mainframe Retirement
We move the last workloads off the mainframe and close it down.
What Changes for You
The Business Keeps Running
Old and new run side by side, and we compare their results before work moves in steps that can be tested and reversed.
Risk Is Visible and Shared
Each part has a known owner, a test and a way back, so you see the risk before a change.
Old Costs End
Each replaced part is switched off, its data archived and its licences and infrastructure ended, so the saving is real.
How the Work Runs
The old system stays in service while each part is proved. You choose the path and the pace at every stage.
Assess
We read the code, trace the data and interview the people who run the system. You give us access to the code, data and staff, and you tell us what cannot change.
Choose the Path
We set out the options for each part: keep, wrap, replace or retire. You choose the path and the pace.
Replace in Steps
We rebuild one capability at a time behind a stable interface. You provide test data and business rules, and you approve each release.
Retire the Old Part
We switch off what has been replaced, archive its data and remove its licences. You decide when the old system can close.
Team and Engagement Options
The team can stay for the whole move or stop after the assessment. You approve the shape before work starts.
A Modernisation Team
A team that stays through the move. It holds the analysis, build and cutover work.
An Assessment Team
A short assessment team that finds the options and risks. The result is a written plan you can act on.
Team Extension
Our engineers join your team and work in your codebase. They follow your reviews and release process.
Platforms and Technologies
We modernise between the platforms your estate already uses. The estate may run on AWS or Azure, the cloud platforms we move toward. Red Hat Enterprise Linux is an operating system, and OpenShift runs containers on it. Oracle Database and SQL Server are databases, Java and C# are programming languages, PostgreSQL is an open-source database, and Kubernetes runs the new services.
- Languages
- Java
- C#
- Databases
- Oracle Database
- Microsoft SQL Server
- PostgreSQL
- Cloud
- Amazon Web Services
- Microsoft Azure
- Red Hat Enterprise Linux
- DevOps and observability
- Red Hat OpenShift
- Kubernetes
Naming a product does not mean a partnership with its vendor.
AWS
We set up AWS accounts and guardrails, move workloads with its migration tools and keep cost and access visible.
Red Hat
We build OpenShift platforms on Red Hat, move applications into containers and keep operations planned.
Microsoft
We join Azure, Microsoft 365 and Dynamics 365 on one identity model, so teams share one set of records.
Oracle
We move Oracle databases and Fusion applications together, with performance tested before each cutover.
Industries
Banking and Financial Services
Banking, payments, lending, wealth, insurance and digital wallets: the platforms they run on and the connections between them.
Software and Technology Companies
Software companies and technology teams: multi-tenant products, platforms and the AI features and billing that keep them growing.
Questions
What leaders ask before they touch a core system.
Where do we start?
With an assessment of the code, data and people who run the system. You give us access to all three, and we record what the system really does. The result is a set of options with risks and a recommended order.
Why not rewrite the whole system at once?
A full rewrite must match years of behaviour before it can replace anything. The business keeps changing while it is built. Replacing one capability at a time delivers value early and keeps the old system as a safety net.
Will the business have to stop?
The work is designed so it does not. The old system keeps running while each new part is built and compared. Where a data move needs a switch, we rehearse it first and agree the window with you.
What shapes the effort?
The size and state of the old code, the data to move and the number of interfaces. Parallel running and reconciliation add effort, but reduce risk. We agree each stage before it starts.
What does AI do in the work?
It reads large amounts of old code quickly and drafts explanations and tests. Engineers decide what changes and review every line. AI speeds up understanding; it does not replace proof.
Tell Us What You Need to Run, Build or Secure.
Describe the service, the systems and the pressure you are under. The right team takes it from there.