With your data and your cases
You practise on your own operation, not on the vendor's example. What you learn that way gets used the next day.
Training on the system you have and on the AI tools you can start using tomorrow — with your own data and your own cases, not with the vendor's examples.
What it solves
The training budget is the first thing cut and the one that costs most. The system gets implemented, a two-hour talk is given, and six months later the company uses 20 % of what it paid for — while the other 80 % is still being done by hand alongside it.
What is included
You practise on your own operation, not on the vendor's example. What you learn that way gets used the next day.
Whoever invoices does not need the same as whoever does the accounts. One course for everybody bores half the room and loses the other half.
Specific tools applied to the real work of each area, with their limits spelled out: what they do well and where you should not trust them.
Having only one person who can use the system is an operational risk. The training covers the stand-in from the start.
For whoever joins later. Without it, every new hire repeats the whole training or learns by copying whoever sits nearby.
If basic queries drop after the training, it worked. It is the least arguable measure there is.
How it works
The syllabus gets defined by role, not one for everybody.
With your data, your cases and real work between sessions.
The material stays, and we check whether basic queries drop.
In detail
Whatever gets taught without a real problem in front of you is forgotten within days. It is better to train when there is already something to solve.
A team that over-trusts a tool which is sometimes wrong produces errors that look like certainties.
Training whoever already masters the system so they can train the rest is what keeps the knowledge inside the company.
Knowing that every screen explains what it does saves half the queries: plenty of people have no idea that panel is there.
A whole day saturates. Several short sessions with real work in between stick far better.
Resistance is nearly always fear of looking bad in front of the team. A small group with no audience sorts it out.
Who it is for
And the team uses only a small part of it.
And you do not know where to start or within what limits.
And every departure takes the knowledge with it.
Common questions
No: it runs on your data, your processes and your cases. Whatever is learned on the vendor's example is forgotten within days.
Yes, whether it is ours, Softland, Profit or ODOO.
Tools you can apply to the real work of each area, and above all their limits: where they help and where you should not trust them.
We prefer short repeated sessions, with real work in between: a whole day saturates and little sticks.
Yes, for whoever joins later. Without it, every new hire repeats the training or learns by copying.
Through support: if basic queries drop after the training, it worked. It is the least arguable measure.
And also
We will show you IT and AI Training running on a case much like yours, with no obligation.