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Data & Platform

Legacy Modernisation

Understand the system before you agree to replace it.

Weeks
To a documented behaviour map
Slice by slice
Migration with rollback
Equivalence
Tested against production traffic

The problem we solve

The risk in legacy modernisation is undocumented behaviour. We use AI-assisted analysis to recover the rules a system actually enforces, then migrate in slices with equivalence testing at every step.

What the work includes

Code and rule archaeology

Automated analysis of COBOL, PL/SQL, VB and legacy Java to surface business rules, dead code and hidden dependencies.

Behaviour documentation

Readable specifications and data-flow maps reviewed by the people who still know the system.

Test generation

Characterisation tests captured from production behaviour so the new system can be proven equivalent.

Incremental migration

Strangler-pattern delivery with routing, dual-run and rollback at every slice.

How the engagement runs

A sequence you can plan a quarter around.

  1. 01

    Understand

    Automated code analysis, dependency mapping and expert review sessions.

  2. 02

    Prove

    First slice migrated, dual-run and compared against the legacy output.

  3. 03

    Migrate

    Sequenced slices with equivalence gates and progressive decommissioning.

Common questions

Before you commit.

Does AI rewrite the code unsupervised?
No. It accelerates understanding and test generation; engineers own every change that ships.
Can we stop midway?
Yes — the slice approach means every increment is independently valuable and safely reversible.

Talk through legacy modernisation.

A 45-minute briefing with the people who would run the work — scope, timeline and a straight answer on whether it is the right next step.

Book a briefing