Systems Integration
Connect AI and new software to the systems you already run.
Modernization of legacy systems, one module at a time
We modernize legacy systems step by step: document what they do, move the data and rebuild what holds you back. Each new part runs beside the old one until the results match.
Wrap, migrate, rebuild or replace
A legacy system usually still does important work. Depending on the system, we wrap it with modern APIs, move its data to a current platform, rebuild individual modules or replace it in stages. AI can be added at any of these steps.
Problems it solves
The trigger is the cost of each change, not the system’s age.
- Every change request takes months because the code is old and poorly documented.
- Only a few people understand how it works.
- The platform it runs on is out of vendor support.
- Valuable records sit in the system, but search and AI cannot use them.
How we work on modernization
Nothing is switched over until the new part matches the old one.
Discovery
We document the system’s data, rules, interfaces and users, then agree on the target, starting where risk or cost is highest.
Pilot on your data
We modernize one module, data set or interface and compare its results with the existing system on real data.
Production
We switch over the remaining parts one by one, each with a rollback plan, then retire what is no longer needed.
Rebuild one module and compare
We document what one module of the legacy system does, then rebuild or wrap it and run the old and the new side by side on the same data. Nothing is switched over until the results match. The pilot ends with a measured comparison and a plan for the remaining parts.
What we need from you
We need access to the system and its data, time with the people who use it and anyone who knows how it was built.
What you get
- An assessment of the current system and its risks
- A target architecture and a step-by-step plan
- Data migration with reconciliation reports
- Modern APIs for the parts that stay, rebuilt modules for the rest
- AI search over historical records, where agreed
- Rollback plans, documentation and support after each step
Related solutions
Custom Software Development
Portals and internal tools built around your process and your users.
Data Platforms
One clean data model, so dashboards, search and AI show the same figures.
Frequently asked questions
Do we have to rewrite the whole system?
Rarely. Many systems can keep their core for years once they have modern APIs and a current data platform. We recommend rewriting a part only where keeping it costs more, and we show the comparison in Discovery.
How do you keep operations running during the change?
One part at a time. Each switch-over has a rollback plan agreed with your team.
Can AI help before the modernization is finished?
Yes. An AI application can read the existing system’s data and documents without changing them, while the larger work continues.
Tell us which system is hardest to change
Share what it does, what it runs on and what it must do next. We will suggest a first step that lowers risk.