Guide

AI training: ongoing costs and operations

The project price is only part of the calculation. What actually arises in effort and costs after going live — and which item is most often forgotten.

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

After going live, AI training typically requires a few hours of maintenance per quarter, plus hosting, licenses and usage-based third-party fees. The most commonly forgotten item is not the money, but the responsibility: systems become outdated because no one is assigned, not because maintenance is complicated.

01 — Operation

What ongoing operation means

After the settling-in phase, the effort is low, but not zero. For AI training, this is typically a few hours per quarter: additions when something changes in the offering, a review of the logs, occasional corrections.

More important than the scope is the responsibility. Systems don't become outdated because maintenance is demanding, but because no one is assigned. One person with a recurring calendar appointment solves this problem completely.

What additionally arises on an ongoing basis depends on the setup — hosting, licenses and third-party usage-based fees belong in the same calculation as the implementation. We show this separately in the quote instead of hiding it in the project price.

02 — Factors

What drives the price

  • Scope and number of integrations. Every additional system that needs to participate costs effort — regardless of how simple the core is.
  • State of your starting point. Clean data, existing content and documented processes significantly reduce effort. Chaos is the most expensive cost factor.
  • How much new material needs to be created. What you can contribute doesn't need to be invented by anyone. This is the biggest lever you have in your own hands.
  • Requirements for design and customization. A solid standard system costs a fraction of a custom solution — and is sufficient more often than vendors admit.
  • Operating model. One-time project costs or ongoing support: calculated over three years, this often gives a different picture than the quote comparison.

03 — Contract

What needs to be clarified in writing

  • Ownership of data and access. They belong to the client. If a provider won't clearly confirm this, that's the most important information from the conversation.
  • Handover upon termination. In what format, within what timeframe, at what cost.
  • No minimum term without consideration. Lock-in is justifiable if something is delivered in return — otherwise not.
  • What a later change costs. The total cost isn't determined by the project price, but by the hourly rate in year three.
  • Documentation as a deliverable. Not as a promise, but as a line item in the proposal.

04 — Questions

Frequently asked questions

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.

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.

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.

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.

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.

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.