Services · Application Modernization
Make your existing software easier, safer and cheaper to change
Not every old system needs a rewrite. We look at what you have, then improve it in small steps (the design, the technical debt, the integrations, the hosting and the release process) so the business keeps running while the software gets better.
The problem
Legacy software makes every change slower and riskier
Over the years, applications collect technical debt, undocumented behavior, fragile integrations and manual releases. New features take longer, outages are harder to predict, and the few people who understand the system become a risk.
AI can help us read and move a codebase faster. It can't decide what must stay the same, what can change, or how to switch over safely. That takes a proper assessment and experienced engineers.
Who this is for
- Companies whose key software has become expensive or risky to change
- Software vendors with on-premise products that now need to run as SaaS
- Teams that need to move to the cloud, upgrade frameworks or sort out messy integrations
Common use cases
- Review of the design, code quality and risks
- Moving from on-premise to cloud-based SaaS
- Step-by-step cleanup and reducing technical debt
- Replacing fragile integrations with APIs that are easy to maintain
- Adding automated tests around old behavior before changing it
- Performance optimization
Scope
What you can expect
An assessment and a prioritized roadmap
The target design and how we will get there
Step-by-step delivery with regular releases
Tests around the behavior that matters most
Documentation of the system as it is now and as it will be
A switch-over plan, with a way back if needed
Our approach
We use AI to work faster. People are responsible for the result.
- 01
Assess
Learn the system, its risks, its users and what must not break.
- 02
Plan
Pick the smallest change that works: clean up, move, replace parts, or, if it is really needed, rewrite.
- 03
Change it step by step
Deliver in steps that keep the product in use. AI helps with analysis and migration, and engineers review the work.
- 04
Test and hand over
Regression tests, performance checks and documentation.
Evidence
Related case studies
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Engagement models
Start small, then grow with confidence
We do not force every project into the same package. Scope and commercial terms are agreed with you after we understand the problem.
Fixed-scope discovery
A short, paid piece of work to clarify the problem, review your current system, and agree the scope, risks and plan before you commit to a bigger build.
Paid pilot
A small project with a fixed end date that tests the approach on one real workflow or module, with clear criteria for success.
Milestone-based delivery
Set deliverables with agreed acceptance criteria, for work that can be scoped with confidence.
Monthly engineering
A dedicated team working in your process on an ongoing roadmap, with a shared backlog, regular reports and clear responsibilities.
FAQ
Common questions
Do we have to rewrite our application?
Often not. We look first and recommend the least disruptive way to reach your goal. A rewrite is sometimes right, but we only recommend it after we have looked.
Can AI modernize our legacy code automatically?
AI can speed up code analysis, documentation, writing tests and parts of a migration. It can't safely modernize a system on its own. That still needs assessment, tests and review by people, and we don't promise otherwise.
Will our users be disrupted?
That is what we plan to avoid. We change things in small steps and switch over carefully. Each project plan says how and when users will see changes.
Is your software getting harder to change?
Tell us what you are trying to achieve. We will give you an honest view of the right way forward.