<NESway/>
Skipping the slide deck0%

Retire the system everyone is afraid to touch.

AI-accelerated code analysis and incremental migration that moves legacy logic to modern platforms without a big-bang cutover.

Let's Build Together

One call with a senior engineer. A straight answer on what it would take.

Illustration: Legacy system modernization

Where you are. Where you’ll be.

You need this if

  • A core system runs on technology nobody hires for anymore
  • Small changes to it take months
  • A rewrite has been attempted and abandoned before

What changes for your business

  • Budget moved from maintenance to new capability
  • Business rules documented before the experts leave
  • No high-risk cutover weekend

What we hand over

  1. AI-assisted code analysis and business-rule extraction
  2. Modernization roadmap with slice-by-slice sequencing
  3. Strangler-pattern migration with parallel-run verification
  4. Decommissioning of retired components

What it is

Legacy modernization replaces or rebuilds old business systems that are expensive to maintain and hard to change, often written in COBOL, early Java or .NET, or stored procedures. The hard part is usually knowledge, not code: few people still know everything the old system does.

Legacy maintenance can consume up to 80% of IT budgets, and the people who understand the code are retiring. Big-bang rewrites fail because nobody knows everything the old system does. We use AI to read and document legacy code (COBOL, old Java, .NET, stored procedures), extract business rules, then replace the system slice by slice behind a strangler pattern, verifying behavior at every step.

Why now
90% of technology professionals now use AI at work, yet AI adoption still correlates with less stable delivery. DORA State of AI-assisted Software Development, 2025 (opens in a new tab)
Last reviewed

How it runs

  1. 01

    Diagnose

    Typically 2–4 weeks

    We map the problem, your data and your systems, and agree the one number that defines success.

  2. 02

    Prove

    Typically 4–8 weeks

    A working pilot on your real data, measured against that number. Not a slide demo.

  3. 03

    Ship

    Scoped to the outcome

    Production build with security, monitoring, cost controls and documentation included, not upsold.

  4. 04

    Run

    Ongoing, optional

    We operate what we built against clear service levels, or train your team to. Your call. No lock-in.

Questions you’ll ask

What is the strangler pattern?
A way to replace a system gradually: new components take over one function at a time while the old system keeps running the rest, until nothing is left of it. There's no single cutover weekend to go wrong.
How does AI help with legacy code?
AI tools can read large legacy codebases, explain what they do, document business rules and draft translations. Engineers verify every rule against real behavior, but the discovery that used to take months shrinks dramatically.
Our previous rewrite was abandoned. Why would this one work?
Rewrites usually fail because nobody knows everything the old system does. Extracting and testing the business rules first, then replacing in slices with side-by-side verification, removes the guesswork that sinks big-bang projects.

Sound familiar? Let’s fix it.

One call with a senior engineer. You’ll leave with a straight answer on what it would take.

Let's Build Together