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Every week, the same figures typed from one system into the other.
Orders from the inbox into the ERP, prices from Excel into the quote, stock into the webshop. At a wholesaler, nobody retypes over 3,300 of 5,017 order emails anymore. The team only sees the exceptions, it runs alongside the current systems, and the team stays in control.
- 2 out of 3Order emails at a wholesaler nobody retypes anymore
- 70-80%Straight through at the start
- 2-4 wksTo go live
- 0Systems to replace
Talk to the solution architect.
No sales team. In 30 minutes we map the process and I tell you honestly whether automating it pays off at your volumes. If it does not, you hear exactly that.
Sound familiar?
The same steps, every single week
Retyping order emails, updating a spreadsheet next to the ERP, copying data from one system into another. Work that never gets finished because it comes back next week.
The team fills the gaps between the systems
Orders from the inbox into the ERP, a price from Excel into the quote, a stock level into the webshop. The team does it carefully, and still a wrong figure slips in on a busy afternoon. That is down to the handover, not the people.
Growth means hiring, not scaling
Twice the volume means twice the manual hours. The process does not scale, so headcount has to.
How it works, without risk on your side
- 01
A 30-minute call with the builder
You speak to the person who builds the model. We map the process and the volume, and say honestly whether automating it pays off. If it does not, you hear that too.
- 02
Free feasibility study on your own process
We test on your real cases and report what share can run automatically and what that saves in hours and errors. Before you invest anything.
- 03
Built in 2-4 weeks, fixed price, in your systems
Model, review screen and the integration with your systems, at an agreed fixed price. We handle the build, the integration and the go-live; you do not have to run a project for it. Your team keeps working in the screens it knows.
Why not RPA or a standard tool?
| RPA robot | Standard tool | Stratalytic | |
|---|---|---|---|
| When a screen changes | Breaks, needs rebuilding | Wait for the vendor | Keeps working, reads content |
| Exceptions | Falls back to manual | Outside the template | Review screen, learns from every correction |
| Cost model | Licence per robot | Subscription per seat | Fixed build price upfront |
| For your team | Someone keeps fixing the robot | Working the package's way | Only the exceptions left |
Before the call
What does it cost?
The price follows from the free feasibility study and depends on how many steps the process has and which systems we integrate with. The price is fixed upfront, with no surprises afterwards. A proposal only comes when the saving in hours and errors clearly outweighs the price. Otherwise there is no proposal.
How much of our time does this take?
The call takes 30 minutes. After that we ask for two years of history of the process, for example the orders or the emails as they arrive now; we handle the rest. The team does not have to run a project alongside its work.
Our data is spread out and not tidy. Is that a problem?
Usually not. The feasibility study shows what is usable and what needs cleaning first, and it is put on paper upfront. If the data is not ready, we say so before anything is spent.
Do we have to replace our ERP or CRM?
No. The AI layer sits next to your existing systems and works through the interfaces that already exist. Nothing gets migrated and your team keeps working in familiar screens.
Our process is full of exceptions. Does this still work?
Exceptions are exactly why off-the-shelf tools fall over. We build the model on your own cases and route uncertainty to a review screen, where someone approves it in seconds. You start around 70-80% straight-through and grow from there.
How is this different from an RPA tool?
RPA is a robot that mimics screens and breaks the moment a screen, format or step changes. Here the system reads the content and talks to the ERP directly, instead of repeating mouse movements. No per-robot licences and no maintenance on every program update.
We already built something ourselves and it works. What do you add?
Good sign. Then the question is no longer whether it can be done, but whether you are getting everything out of it. That is where most of it stalls: Gartner expects 30% of AI projects to be dropped after the trial, and MIT found that 95% of trial projects deliver no result that shows up in the numbers. Rarely because the system does not work, usually because nobody owns the number. On top of that, what is possible shifts quickly, and keeping up with that does not fit alongside running an operation. We calculate up front on the company's own data what there is to gain, free, and then make sure it actually runs. At a wholesaler, nobody retypes over 3,300 of 5,017 order emails anymore.
Can we carry on without you afterwards?
Yes. Code, model and documentation go to the company, and the team can carry on without us. There is no mandatory subscription; ongoing maintenance is available, but never required.