PIPELINEGuide
AI Training: Process, approach, and what's needed from you
The process for AI training from the first question to ongoing operation — including what you need to contribute for it to work.
An AI training project runs in 4 steps: from “clarify needs” to “follow up,” total 1 day plus follow-up session. Each step ends with a clear approval before the next begins.
01 — 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.
02 — 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.
03 — Scope
What's included
- Fundamentals without jargon: what these systems do and where their limits are
- Practical exercises on your real tasks — proposal texts, minutes, research
- Prompt techniques that actually work in daily practice
- Data protection: what belongs in, what doesn't, and why
- Written usage policy for your business as a deliverable
- Follow-up session after four weeks, when the first practical questions arise
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Won't that be outdated after three months?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.
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.
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.
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 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.
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.
Do we get materials?
Yes: the slides, a collection of proven prompts for your tasks, and the usage policy as an editable document.
05 — Decision
How to move forward
The most affordable next step is a conversation, not a quote. Twenty minutes is usually enough to clarify whether a project makes sense, what scope it involves, and whether we're the right fit.
If we're not, we'll say so. An honest no costs less than a project you abandon after three months — for both sides.
06 — Next
Related pages
- AI Training — Overview
- AI Training — Introduction
- AI Training — Provider Comparison
- AI Training — Value
- AI Training — How It Works
- AI Training — Measuring Success
- AI Training — Small Businesses
- AI Training — Duration
- AI Consulting
- AI automation
- AI knowledge base
- All guides
AI Training by Region
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