A map of what it really does
The workflows, data and business rules recovered from the running system and its code, including the ones nobody documented. AI helps us read large codebases faster, and engineers check what it finds.
Services / Strengthen
Keep what works.
Rebuild what holds you back.
We re-architect legacy applications for cloud-native scale, a modern interface and new AI capabilities, preserving the business rules that took years to get right.
- Best when
- A critical system is expensive to change and risky to leave alone.
- You bring
- The system, the people who know it and whatever documentation exists.
- You leave with
- A modernized application, migrated in stages so the business keeps running.
- Shape
- An assessment first, then delivery in phases.
You might be here if
Does any of this
sound familiar?
- Only one or two people really understand how the system works.
- Every change takes months and breaks something somewhere else.
- The platform or language the system depends on is no longer supported.
- You want AI features, but the system cannot connect to anything.
- Users have built workarounds around the workarounds.
The real asset
The code is not the asset.
The rules inside it are.
A system that has run for years carries years of decisions: pricing exceptions, regulatory handling, edge cases that appeared once and were never forgotten. A rewrite that loses them fails quietly. A system left alone becomes a risk that grows every year.
We recover what the system really does, capture it in tests, and move it step by step to an architecture that can change safely. The old system keeps running until the new one has shown it behaves the same way, or differs only where you chose.
What we deliver
A path from the system you have to the one you need.
Modernization works best as a sequence of small steps, each designed to keep the business running.
A target architecture
A design built for the cloud and for connecting to other systems, split into parts that can be migrated in a sensible order.
Tests that capture today’s behavior
So the new system can be shown to match the old one, and any intentional difference is a decision rather than an accident.
Modernized services, built in slices
Rebuilt one part at a time, with old and new running side by side until each slice is proven.
A modern interface
A redesigned experience informed by how people really use the system today.
AI where it helps
Search, document handling and assisted workflows added on the new foundation, with the controls they need.
How it works
One clear step at a time.
Understand the system
Interview the people who use and maintain it. Read the code and data. Find the rules and the risks.
Recover and test
Write tests that describe current behavior, so every later change can be checked against it.
Modernize in slices
Migrate one capability at a time behind clear interfaces. Keep the old system as the safety net.
Cut over safely
Move users and data in stages, with a way back at each step.
Operate and improve
Support the new system and keep improving it. Optionally, our managed SRE service can take on operations.
What changes
From where you are to where you want to be.
From: A system few people understand
To: Documented behavior and tests
From: Changes that take months
To: Smaller, safer releases
From: A closed platform
To: APIs that other systems and AI can use
From: The risk of a big-bang rewrite
To: Incremental migration with the old system as a safety net
In practice
Modernizing bond operations.
For Bond Services, we built an application that connects each bond’s records to its documents, renewals, billing and ledger. The case study walks through the design and the engineering decisions.
Before you start
What to expect.
Not every system should be rewritten.
Sometimes wrapping a system, replacing a part or retiring it is the right answer. We will tell you which.
Timelines come after the assessment.
The effort depends on what is inside the system, and the assessment turns a guess into an estimate.
Data migration needs your experts.
Moving data correctly depends on people who know what it means. We plan their time into the work.
Questions
Common questions.
Should we rewrite or modernize incrementally?
Usually incrementally. A full rewrite concentrates risk into one cutover. Migrating slices lets you prove each part and stop or change course. The assessment tells us which suits your system.
What if there is no documentation?
That is common. We recover behavior from the running system, the code, the data and the people who use it, then capture it in tests.
Can the business keep running throughout?
That is the design goal. Old and new run side by side, and each cutover has a way back.
What platforms can you work with?
We work with a range of older stacks, including older Java and PHP applications and systems built mainly around a database. We assess your specific platform before we commit to an approach.
Where does AI fit?
In two places: helping us understand and document large codebases faster, and adding capabilities such as search and document handling to the modernized system. Engineers review both.
How do we start?
With a bounded assessment of one system. It produces the map, the risks and a realistic estimate.
Start with the system that worries you most.
Tell us what it does and why it is hard to change. We will suggest a first step that keeps the business running.