We don’t start by asking which AI you want to use. We start by seeing where your team copies, waits, confirms and repeats. Then we decide what to connect, what to build and what is better left alone.
The problem isn’t the ERP. It’s the path to it.
An order arrives by email. Someone opens the PDF, looks up the reference, copies it into Excel, retypes it into the ERP and confirms with the customer. None of this is hard. The problem is that it happens over and over and always depends on someone.
In our own products the pattern was the same, in a different field: the practice happened — a training, a class, a consultation — but the record scattered into loose notes. The technical answer is identical in both cases: structure what comes in, validate it, push it into the right system, and leave the hard decision to a person.
We only automate what pays off — and we show you the numbers before we start.
Three questions before building
Where do you lose time?
We follow one real process from start to finish and see where there is copying, waiting, repetition and dependence on one person.
What is worth changing?
Not everything deserves automation. We start with what repeats, costs time and has clear enough rules.
What do we get out of the way?
We connect systems, automate steps or build the missing tool. The team is left with less work by hand.
See · Choose · Take out of the way
From the work as it is today to work that moves
No giant projects. We start with a circuit your team recognises and make that circuit work better.
We follow the work as it happens today.
We decide where it is worth starting.
We automate, connect or build what is missing.
The new circuit goes into the systems the team already uses.
We check whether the work actually got simpler.
If there is more work to take out of the way, we move to the next one.
What we have written about this
Why material loss never shows up where you look for it
In any operation that transforms raw material there is always a gap between what should have come out and what did.
What happens to an email order when AI enters the loop
Almost every company we talk to has a version of this process: an email arrives with an order — sometimes a PDF, sometimes loose…
Frequently asked questions
01How long does an automation project take?
It depends on the process, but the first useful result usually lands in weeks, not months. We start with the most expensive, most repetitive process, put it in production, measure it, and only then move to the next one.
02Do we have to change systems?
No. The method is to integrate into what already exists — email, ERP, spreadsheets, internal tools. Replacing systems is expensive, slow, and rarely the thing that solves the problem.
03Does the AI decide on its own?
Not where that is risky. The AI prepares — extracts, classifies, proposes, drafts — and a person approves anything with consequences: a payment, a shipment, a reply to a customer. That is deliberate design.
04What if automating isn’t worth it?
We say so. Some processes cost more to automate than to keep doing by hand, or the volume doesn’t justify it. Saying where the answer is no is part of the check-up.
The same method in our own products
We applied this method to ourselves first. Each product covers one field — padel, team sports, education, therapy — with the same engineering underneath.
The XBoost family
One engine. Four platforms.
Each brand is deep in its field and shares the same engine: structured feedback, applied intelligence and measurable progress. Pick your field.
FeedxBoost
Racquet Sports
Padel clubs, coaches and players — player progress report and card.
Visit feedxboost.com
TeamxBoost
Team Sports
Football and futsal clubs and coaches — squad, stats and player reports (coming soon).
Visit teamxboost.com
LearnxBoost
Education
Teachers, tutoring centers and schools — session feedback and parent report.
Visit learnxboost.com
CarexBoost
Therapy & Health
Psychologists, therapists and clinics — clinical session report.
Visit carexboost.com
