PIPELINEGuide
Implement AI training: step by step
The path from decision to live operation — in the order that has proven effective in small businesses, including the points where projects typically get stuck.
AI training is introduced by first identifying the bottleneck, then narrowing the scope, and only then implementing it. Implementation itself takes 1 day plus follow-up round; projects are almost never delayed by technology, but by missing content, access, and decisions.
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 Without this definition, every system becomes outdated.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 — Process
The steps in detail
Clarify needs
Which roles, which tasks, which prior knowledge. The content is based on that.
Training day
Half or full day, at your location or online. Maximum twelve people so practice is possible.
Document policy
The questions from the day produce a page that applies in the business.
Follow up
Four weeks later, one hour for the questions that only come up in daily practice.
03 — Participation
What we need from you
- A contact person who can make decisions — not just forward them.
- Access to the affected systems, in time and not on launch day.
- Real examples from daily business — the messier, the more useful for testing.
- Two to four hours for coordination, distributed over the project duration.
- An answer to the question of what success means. Without it, nothing can be assessed afterward.
04 — Bottlenecks
What typically causes delays
- Content and deliveries. By far the most common cause of delay. Text, images, price lists, access credentials — what's missing blocks progress.
- Decisions. When it's unclear who approves, the project waits. A named contact person with decision-making authority noticeably shortens the timeline.
- Access to third-party systems. Getting access to inventory management, phone systems, or CRM regularly takes longer than the integration itself.
- Endless review rounds. Two correction rounds are normal, five are a sign that the goal wasn't clear at the start.
05 — Questions
Frequently asked questions
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.
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.
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.
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.
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.
06 — Next
Related pages
- AI Training — Overview
- AI Training — Duration
- AI training — Where to start
- AI training — pros and cons
- AI Training — Contract and Ownership
- AI training — risks
- AI Training — Data Protection
- AI training — AI labeling
- 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.