Consulting that sees the process on the floor and builds it in the system.
Most ERP projects fail because of process, not software. The system gets installed, training is delivered, and yet nobody does their daily work in it. The process that was configured is not the process that actually runs on the floor. We start with the process, not the software.
On the costing side the most common problem is this: the report produces a number, and nobody trusts it. The cause is rarely a single error. It is accumulated small configuration mistakes: the wrong cost centre, missing allocations, scrap and waste left out, exceptions added later that nobody remembers.
We treat production, procurement and sales as linked rings of one chain. If procurement does not raise the order on time, the production plan slips; if production slips, the delivery commitment sales made slips too. Consulting that looks module by module cannot see this chain.
In finance, budgeting and HR we make the data the system produces decision-ready: budget versus actual that is genuinely comparable, cash flow visibility, and personnel cost reflected correctly into production cost.
We tell you upfront what a standard module solves and what truly needs development. Unnecessary customisation is the most expensive line item in an ERP project, and once it exists it bills you again at every version upgrade.
We have provided on-site consulting across more than 20 ERP projects, including IFS 10 and IFS Cloud. We have hands-on experience in every one of the costing, finance, CRM, procurement, production, sales, budgeting and HR modules.
At Verhex, this experience was earned directly in the field.
We work independently of sector. Process names and regulations differ by industry, but the logic of cost flow, planning discipline and the approval chain does not.
We learn the process from the person doing the work, not from a document. The written process and what actually happens are almost never the same, and you cannot configure anything before seeing that gap.
We compare the current configuration against how the work really runs. The output is a table listing every gap with its cause and its cost to the business. Evidence, not opinion.
We design the target process and build its counterpart on the ERP. What a standard module can solve is separated from what needs development, and every item in the second group comes with its justification.
The process goes live and is handed over to the team that will use it. The goal is not dependence on us; it is a team that can run the process on its own.
No. We have on-site consulting experience across IFS 10 and IFS Cloud projects, but we are not an IFS partner and we do not sell licences. That independence works in your favour: we can tell you what a standard module will cover and what needs development, with no pressure to sell a product.
Costing, finance, CRM, procurement, production, sales, budgeting and HR. We treat them as one connected flow rather than separate headings, because a configuration error in one module almost always surfaces as a report problem in another.
The weight of our experience is on IFS. But the subject of the consulting is the process, not the product: the logic of cost flow, planning discipline and the approval chain does not change with the ERP product. If you run a different system, we scope it together in the first conversation.
Yes. Once the process is designed, the same team can carry out the required development, integrations and AI work. Having the people who designed the process sit at the same table as the people building the system removes the handover loss in between.
It depends on scope: reviewing one module's process is not the same as designing configuration across the organisation. Once the analysis has made the scope clear, we share the project schedule and its duration.
Our notes related to this service.
AI projects that handle personal data have three architectural options: mask the data before it reaches the model, use an enterprise cloud hosted in a European region, or run an open model on your own infrastructure. The choice is a trade-off between cost and risk, and which data goes where should be put in writing at the start of the project.
AI that runs on your ERP data and survives production.
We fix the place where your systems stop talking to each other.
A short intro call is enough. We'll scope it together from there.