Guide

How long does AI training take? Realistic timeline

An AI training project is not a weekend task, but not a six-month project either. What happens in what order, where bottlenecks typically occur, and how to shorten the timeline.

Quote on request1 day plus follow-up sessionAs of 2026
In short

AI training takes 1 day plus follow-up session in practice. The biggest time factor is almost never the implementation itself, but how quickly content, access, and decisions come from your side.

01 — Timeframe

How long it takes

Typical duration
1 day plus follow-up round
Price
Individual based on effort

The timeline starts after approval of the quote. Lead time for initial meeting and quote: typically one to two weeks. We provide a fixed price after this initial meeting.

02 — Process

The steps in detail

  1. Clarify needs

    Which roles, which tasks, which prior knowledge. The content is based on that.

  2. Training day

    Half or full day, at your location or online. Maximum twelve people so practice is possible.

  3. Document policy

    The questions from the day produce a page that applies in the business.

  4. Follow up

    Four weeks later, one hour for the questions that only come up in daily practice.

03 — 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.

04 — 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

05 — Questions

Frequently asked questions

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.

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.

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.

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.

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.

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.