AI that earns its place in your processes
We put AI where the work actually happens — in your ERP, your documents and your data, under your control. Not a pilot that impresses once, but a step that keeps saving time every week.
Most AI stops at the demo. This starts at the bottleneck.
We do not look for a place to use AI. We look at where your people lose hours — and reach for AI only where it is the right tool.
It starts from a real process
Every project begins with work someone does by hand today. If a rule or a report solves it better than a model, we say so.
Your data stays yours
We define exactly which data a model may see and where it is processed. Nothing leaves the company without your explicit decision.
The effect is measured
Every automation records what it did and how well. If the saving is not there, you hear it from us first.
What we put AI to work on
Four places where it pays off in a company that already runs an ERP.
Document capture
Invoices, delivery notes and orders read and posted into the ERP. Clean documents pass through on their own; anything unusual goes to a person, with the reason attached.
Sales forecasting
Forecasts built from the order history you already have, refreshed without anyone preparing them — and compared against what actually sold, so you know how far to trust them.
Lead qualification
Enquiries enriched and sorted before anyone opens them, so your sales team starts the day with the ones worth their time.
Assistants for your team
Answers drawn from your own procedures and ERP records — prices, stock, order status — instead of interrupting a colleague who knows.
Small enough to ship, big enough to notice
AI goes into production the same way every other automation does — in steps, with a person in the loop for as long as it takes to earn trust.
- 1
We pick one process
Narrow enough to deliver in weeks, costly enough that the saving is visible on the first invoice cycle.
- 2
We set the boundaries
Which data the model sees, where it runs, what it may decide on its own and what a person confirms. Written down before we build.
- 3
It runs beside your team first
At the start it proposes and your people confirm. It takes over only once the numbers justify it.
- 4
We keep measuring
Accuracy, exceptions and time saved stay visible after go-live. That is what shows us where to extend it next.
Have a process in mind?
Tell us where the time goes. We will say honestly whether AI is the right tool for it — and where it would pay off first.