A staged route, not a rip and replace
A modernization sequence that keeps orders shipping and month-end closing while the platform underneath changes.
Turn the system that runs your business into the foundation for what comes next.
Legacy ERP architecture can make AI expensive, unreliable or impossible to deploy effectively. We modernize ERP platforms, integrations and processes so AI can work with trusted operational data.
This is for businesses running Dynamics NAV or an ageing Business Central estate, where the ERP still works but has started to hold everything else back.
An ERP that has been in service for a decade has usually accumulated a layer of customisations, integrations and workarounds that nobody fully holds in their head any more. It works. It also quietly sets the ceiling on everything you try to build next.
Modernization here does not mean replacing the system for the sake of it. It means finding out what the customisations are actually doing, which ones standard functionality now covers, where integrations duplicate or contradict each other, and what has to be true before an AI system can be trusted to read from it — or act in it.
The result is an ERP that is cheaper to change, safer to connect to, and no longer the reason a good idea takes nine months.
Every customisation, extension, integration and interface, with what it does and who depends on it. Most organisations have never seen this on one page.
Which of your customisations the platform now does natively — the cheapest modernization available, because it is deletion rather than development.
Each item rated on business risk and cost to carry, so the argument for fixing something is a number rather than an opinion.
How the ERP should expose data and operations to everything else, including AI, with read and write treated as separate decisions.
What to fix first, what can wait, and what must move together, arranged so each phase leaves you in a working state.
Written for the people who will maintain it after we leave, because undocumented architecture is how you end up here again.
Understand your business, systems, processes and AI readiness.
Strengthen ERP platforms, integrations and data foundations.
Unify trusted data and make it securely accessible to people, apps and AI.
Deploy AI agents where they deliver measurable value.
No. The assessment work is worth doing wherever you are — in fact the further behind you are, the more valuable it is to know exactly what a move would involve before committing to one.
The point of inventorying them first is to avoid exactly that. Some customisations are load-bearing and stay. Some have been superseded by standard functionality and can go. The difference is knowable, and guessing at it is what makes upgrades painful.
That is the platform we work in most. The underlying work — understanding customisations, integrations, data quality and what AI can safely reach — is not platform specific.
Everybody knows there is something buried under the snow. Almost nobody can say where it is, how deep it goes, or what it costs to leave it there.
Connecting an AI model to Business Central takes an afternoon. Connecting it correctly takes an architect — and you find out which one you did in the incident report.
Business Central already logs every turn you made. The interesting question is what it takes to make it tell you why you keep catching an edge in the same spot.
The Trailhead Assessment is a short set of questions about your systems, data and processes. It ends with a practical map of what to modernize, what to automate, and what to leave alone.
A modernization sequence that keeps orders shipping and month-end closing while the platform underneath changes.
APIs and integration architecture built so reporting and AI read trusted operational data instead of a stale export.
What your ERP can genuinely support today, and what has to change before it will do anything useful.
Twelve questions, about five to seven minutes, and an instant read across business readiness, ERP and systems, data readiness and AI governance.