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Technology · Modernization

Modernisation of existing systems.

An existing system usually holds years of business knowledge. Modernising it is cheaper and less risky than replacing it.

You don't always have to start over.

Tell us about your system All projects

When clients usually bring us in

  • the existing system no longer keeps up
  • the work happens in spreadsheets
  • data is duplicated across systems
  • you need a new application
  • you want to modernise an old system
  • you're building a new digital product

You don't always have to build from scratch

If the existing system can be properly modernised or connected to others, that's usually faster and cheaper than a new application. We start by looking at what's worth keeping.

What this means for you

  • Fewer spreadsheets and manual status updates.
  • Less duplicated data across systems.
  • One view of the process for management and the team.
  • A system that grows with the company.
  • Less dependence on the one person who knows how it works.

Problem → solution

Typical symptoms

  • an outdated interface
  • an ageing backend and unsupported libraries
  • unclear data structures
  • slow applications
  • a system with no API
  • a system that's hard to maintain
  • dependence on a single vendor

What we can do

Audit

A review of code, architecture, data and risks with a maintenance cost estimate.

Redesign and new frontend

A new interface over existing logic - a fast improvement without touching the core.

Re-architecture and refactoring

Gradual decomposition into modules that can evolve separately.

Data migration

Moving and cleaning data while preserving history.

API layer

We open the system to integrations even without rewriting it.

Cloud migration

Environments, backups, monitoring and controlled releases.

Why an old system is not necessarily a bad system

A system that has run for ten years contains rules recorded nowhere else: exceptions, workarounds and agreements that came from real cases. Replace it wholesale and those rules are lost, then rediscovered one at a time, usually in production.

So we first look at what in the system is worth keeping, and only then at what has to be replaced.

  • business rules embedded in the code
  • data history that cannot be recreated
  • integrations that have quietly worked for years
  • reports somebody needs every month

Three routes and when each applies

Re-hosting

The system stays the same and moves to a new environment. Fastest and cheapest when the problem is only hardware or hosting.

Gradual replacement

Parts are replaced one at a time, with old and new running side by side for a while. The usual route for systems that cannot stop.

Full rebuild

Only sensible when the old system is so tangled that any change costs more than building new.

Which route is right becomes clear after a technical review - not from a description over the phone.

Running in parallel

In a gradual replacement two systems exist at once for a while. That is the delicate part and has to be planned in advance: which system is the source of truth, how data is kept in sync and when the old one is switched off.

  • a defined source of truth for each piece of data
  • synchronisation that does not create duplicates
  • a clear switch-off date for the old system
  • an archive of the old system after switch-off

What is worth keeping from the old system

Besides data, an old system holds rules that grew out of real cases and reports somebody needs every month. Recording those before the rebuild avoids discovering them later, once the new system is live.

How we build the system

Architecture

We define the data model, modules and system boundaries before development, so later growth doesn't require a rewrite.

UX/UI

You approve the user journeys and a prototype of the key screens before any feature is written.

Frontend and backend

The interface and the server side are built to one standard: readable code covered by automated tests.

Integrations

Connections to ERP, CRM, document systems and registries, with logging and retries.

Data

Migration, cleanup and data quality rules, so the new system doesn't inherit the old errors.

Security, quality, rollout

Security

Authentication and permissions, encryption in transit and at rest, an audit trail and a review before go-live.

Testing

Automated tests, regression and acceptance testing against your criteria, not ours.

Deployment

Separate environments, phased release and the ability to roll back within minutes.

Handover

Code, access, documentation and team training. The system stays yours.

Maintenance

An agreed response time, monitoring and a monthly allocation for enhancements.

Related work

FAQ

Can modernisation be done in phases?

Yes. We recommend a gradual approach where old and new run side by side for a period.

Related reading

Tell us what you need

A few sentences are enough: what you need, for which process or system and by when. We will reply by email.

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Sounds like your project?

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