PIPELINEGuide
AI training: where to start without getting scattered
The most common mistake when starting is not the wrong technology, but the wrong first step. A sequence that has proven itself in small businesses.
Getting started with AI training doesn't begin with the technology, but with a week of documentation: what repeats, what takes the most time. Then a single, clearly defined process with a measurable goal — only with clear scope can quotes even be compared.
01 — Getting started
Where to begin
Name the bottleneck
Not the most interesting thing, but what takes the most time. A week of tracking what repeats delivers a more realistic list than any workshop.
Define a small scope
One process, one measurable goal. What works gets expanded — what doesn't costs little.
Survey the starting situation
Which content, data and access are available. For AI training, this is the factor that most strongly influences effort and duration.
Decide who is responsible
For the implementation and for operations afterward. Without this definition, every system becomes outdated.
Only then request proposals
With a clear scope, proposals become comparable. Without it, you get numbers that have nothing to do with each other.
02 — Fit
When it's worth it
- The process in question occurs at least weekly.
- It follows rules you can write down — even if there are exceptions.
- Today it's manual work that no one enjoys doing.
- There's one person who decides, not three who need to coordinate.
- You can name what would tell you it worked.
03 — Checklist
Clarify before the first quote
- What should improve? In one sentence, no jargon.
- How will you know? One number that should change.
- Who decides? One person, not a committee.
- What budget is available? A range is enough — it makes quotes comparable instead of arbitrary.
- By when? And what the deadline depends on.
- Which systems are involved? And who has access to them.
- What do you already have? Content, data, preliminary work — this reduces the cost.
04 — Questions
Frequently asked questions
Won't that be outdated after three months?
The tools change, the mindset doesn't. The focus is on when such a system is appropriate and how you verify its output — that remains valid even if the interface looks different.
Do you also cover industry-specific applications?
Yes, as far as known in advance. Bring your typical tasks — quote texts, protocols, customer correspondence — and we'll practice on exactly those instead of generic examples.
Is this also useful for executives who don't do much typing themselves?
Yes, for a different reason: They need to be able to assess where these tools make sense in the team and where risks lie — that's independent of whether they work with them daily themselves.
Do our people need prior knowledge?
No. We start from zero and divide the exercises according to prior knowledge. Experience shows that every team has both extremes.
What if individual employees don't want to?
That happens and it's not a disaster. We train everyone equally, but no one is forced to use it — experience shows that changes on its own once colleagues see the benefits.
Does the EU AI Act require training?
For businesses that use AI systems, there is an obligation to ensure adequate AI competency among the people working with them. A documented training is the easiest way to demonstrate compliance.
Can we do this online as well?
Yes, then usually in two half-days instead of one full day — concentrated screen work over eight hours doesn't work well.
05 — Next
Related pages
- AI Training — Overview
- AI Training — Duration
- AI Training — Value
- AI training — integration
- AI training — funding
- AI Training — Contract and Ownership
- AI Training — How It Works
- AI training — team and acceptance
- AI Consulting
- AI automation
- AI knowledge base
- All guides
AI Training by Region
Next step
Initial assessment, no obligation.
Briefly describe what you need. You'll get an honest answer about what's realistic and what it will roughly cost.