The pilot worked. None of it reached production.
Almost every organisation has tried something with AI by now. There was a demo, someone had a module generated, and it looked surprisingly good. Then it stalled, usually on the same three points. We set up the part that does reach the work floor: learning material, work instructions and documentation, made by your own people, with a process around it that survives an audit.
Discuss this situationResults
- › Your existing documentation as the source, not a new system
- › Your own people at the controls, we set it up and test it
- › A review step that is fixed, because without it nothing reaches the floor
The bottleneck is rarely the model.
A language model writes a learning module about gas-free working in twenty seconds. That module reads well. It is also not based on your installation, your zoning or your procedure, and nothing about it gives that away. Precisely that makes the first demonstration so convincing and the second phase so hard.
In industrial organisations it then stalls on three points almost every time. The source material is not in order, so whatever gets built on top inherits the fault. There is no agreed moment at which a subject matter expert approves it, so nobody dares release it. And there is no owner, so it stays with the enthusiast who set it up in the first place.
None of the three is a technical problem. All three can be solved, and that is the work we come and stand alongside you for. What AI speeds up afterwards is considerable, but it is the second step and not the first.
Where this shows up
- › A successful pilot that never got a follow-up
- › Material nobody dares release without a review
- › Procedures that change faster than the material follows
- › Translation costs deciding how many languages you train in
- › Specialist knowledge sitting only in the heads of a few people
- › Uncertainty about what happens to company data
Four places where it pays off straight away.
We do not start with a strategy but with the question of which part of your existing material already lends itself to this. In practically every organisation those turn out to be the same four streams.
01
From documentation to learning material
Your SOP contains everything someone needs to know and was never written to learn from. Converting it into a module is laborious handwork, and that is where the largest time saving sits. The subject matter check stays human work.
02
Multilingual production
As soon as translation stops being the expensive factor, the availability of reviewers decides how many languages you train in. That is a factor you can organise, and it changes who you really reach on the work floor.
03
Keeping material current
Laying a changed procedure alongside the existing material and pulling out what no longer holds. When updating drops from an hour to ten minutes, the threshold below which a change is left alone shifts.
04
Opening up knowledge
An assistant that answers from your documentation, cites its source, and stays quiet when the answer is not in there. For safety-critical instruction it refers on to the procedure itself.
What we do not do
We do not write an AI strategy for your organisation and we stay out of your IT and security policy. Other parties handle that, and the question is broader than learning and documentation.
Nor do we let a model decide what is safe. Wherever something touches a safety-critical action, a subject matter expert keeps the last word, and we fix that in the process rather than leaving it to the good intentions of whoever happens to be using it.
The STARK 4D method
How we turn every challenge into a working solution, in four steps.
We start with your problem, not our solution.
What's really going on? What does success look like? We map what exists, what's missing, and what your people actually need. No assumptions, no templates. Just honest scoping and concrete examples of what's possible.
We translate your challenge into a clear plan.
Approach, format, timeline, all worked out with your team before we build anything. You know exactly what you're getting. No surprises halfway through.
We build it, and test it with your people.
Whether it's a VR simulation, an interactive module or a full blended programme: your subject matter experts are part of the build. That's how we make it accurate and relevant to the work floor.
Going live is the start, not the finish.
We support rollout, adoption and embedding. We track whether the training works and adjust where needed. Because training that's not used has no value.
From pilot to production
A working method with a fixed review step, so material actually gets released instead of stalling.
Updating is no longer a project
The cost per change drops far enough to keep material current instead of letting it age.
The work stays with you
Your own people run it and keep the source files. No dependence on a supplier for every comma.
This builds on what we use in production ourselves. The difference with our own development work is who sits at the controls: there we do the work, here we set it up so that your people do.
Where are you right now?
Not everyone reading this is ready for a conversation. Pick the step that matches where you are.
01 · Orient
Measure where you stand
Ten questions across five dimensions. You get a radar chart of your training maturity plus three things you can act on straight away.
Take the maturity scan
No form · 5 minutes
02 · Compare
See what it did for others
Cases at Gasunie, Enercon, TotalEnergies and Nel, with what actually changed in onboarding, retention and incidents.
View the cases
No form
03 · Decide
Put your situation to us
Tell us what you are dealing with. You get an assessment of approach, lead time and cost, not a sales pitch.
Ask for an assessment
Response within 24 hours
Want to know which part of your material lends itself to this?
Milan
Business development, STARK Learning