Make decades of legacy applications, business logic and data accessible to modern systems and AI — without rewriting them first.
First, preserve what already works. SHIFT moves the existing workload into a modern environment without rewriting the application — creating the foundation for everything that comes next.
The whole idea, in five steps.
Your programs work — they've worked for decades. But the machine is expensive, closed, and fewer people can manage it with every passing year.
SHIFT takes your existing source and data structures as they are. Nothing rewritten, nothing translated — the application and its business logic are preserved.
Same results, with hardware, software and upkeep priced like the rest of your IT — and finally open to modern languages, APIs, and AI.
Code and data stay intact, but the platform is open. No big-bang rewrite, no culture shock — modernize in your normal development cycle, at your pace.
The mainframe keeps running until you've seen the new side work in production. Then — and only then — you switch it off.
Once the workload is running in SHIFT, the possibilities change.
Decades of enterprise knowledge are embedded in legacy applications — in their data, business rules, processes and source code.
SHIFT makes that knowledge accessible to modern applications and AI without requiring you to replace the systems that contain it first.
Give modern applications and AI controlled access to legacy data, business logic and functionality — while existing applications continue to operate.
Once workloads are running within SHIFT, AI tools can work with source code, data, APIs and development environments to help understand, document, test, refactor and progressively modernize applications.
Legacy systems hold decades of knowledge not only in applications and data, but in the people who understand the business rules, processes and decisions behind them.
Because SHIFT lets existing workloads and modern environments operate side by side, teams have time to understand, test and adopt what comes next without an overnight break with the past.
That creates room to combine legacy expertise with modern engineering and AI — carrying critical knowledge forward as the technology evolves.
Preserve the application. Preserve the knowledge. Modernize progressively.
Write to us and let us know what you would like to achieve. Together, we can start with a focused workload and build a practical path forward — incrementally and with controlled risk.