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Use case

Replace the system nobody dares touch

Legacy systems are rarely replaced because of technology. They are replaced when the last person who understands them is close to leaving, or when the business cannot change fast enough.

Outcomes

  • No business freeze during migration
  • Behaviour documented before it is replaced
  • History migrated with audit intact
  • Technology you can hire for

Use case

Where it is used

Key-person risk

One person understands it, and they are retiring.

Change paralysis

Every small request takes months or is refused.

Unsupported platform

Runtime, database or hardware out of support.

What we deliver

  • Behaviour reconstruction
  • Phased migration architecture
  • Dual-run reconciliation
  • Data migration with validation
  • Cutover rehearsal and rollback

Who this is for

  • Teams considering a full software rebuild of a system they still depend on daily
  • Companies where the current platform cannot be extended but cannot be switched off

When this is the wrong choice

  • Systems that only need performance tuning or a new interface layer

Problems this solves

Nobody dares change it

Business rules are recovered from code and users, documented, and covered by tests before anything moves.

A full rewrite is too risky

Slice-by-slice replacement keeps the old system running while each piece proves itself in production.

Everything reads the old database

Downstream consumers are inventoried and given a stable interface during the transition.

How delivery runs

  1. 01

    Observe the current process

    We watch the work as it is actually done, including the workarounds, before proposing anything.

  2. 02

    Scope the first slice

    One workflow, one team, one measurable target — chosen because it carries the most manual effort.

  3. 03

    Build and pilot

    Working software in a pilot group within weeks, running alongside the current process until the numbers agree.

  4. 04

    Roll out and switch off

    Migration, training and a dated switch-off of the old route, so two processes do not run forever.

Realistic timeline

Weeks 1–4

Assessment, rule recovery and slice plan.

Months 2–5

First slice live in parallel with the legacy system.

Months 6–12

Remaining slices, migration and decommissioning.

What moves the price

Undocumented rules

Recovery work is investigative and is the main unknown in modernisation budgets.

Data model age

Decades of schema workarounds make migration the dominant cost.

Integration surface

Each downstream consumer must be handled during transition.

Where projects go wrong

Automating the workaround

Rules are agreed with the people who handle today's exceptions, so we encode the correct process rather than the historic patch.

Adoption stalls

Rollout has named owners and measured usage per team; software nobody uses moves cost instead of removing it.

FAQ

Questions buyers ask

Can we do it without downtime?+

In most cases yes, with phasing and dual-run. Full cutovers are planned for a quiet window with rehearsal.

What if the source code is lost?+

It happens. We reconstruct behaviour from the database, logs and daily users.

You already have the idea. Let's define what comes next.

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legacy system replacement