PIPELINEGuide
AI training: contract, ownership, and exit
Who owns the data, access credentials, and outputs in the end? The answer to this question says more about a provider than any reference list — and belongs before the signature, not after.
Before commissioning AI training, the following should be clarified in writing: data and access belong to the client, in what format and timeframe they will be handed over upon termination, what future changes will cost, and that documentation is a quoted line item, not a verbal promise.
01 — 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.
02 — Questions
Questions you should ask
- What happens if the project becomes more expensive than estimated — who bears that?
- Who owns data, access, and, if developed, the source code?
- What does operation cost in the second and third year?
- What does the documentation we receive at the end look like?
- How would you measure whether the project was successful?
- Is there a case in which you would advise us against this?
03 — Warning signs
When to be skeptical
- Guaranteed results. Anyone promising top Google ranking or a specific revenue increase is selling something they can't deliver.
- No pushback. A provider who thinks every project is a good idea has either not listened or is only selling.
- Time pressure. Limited-time discounts on project prices are a sales tool, not an offer.
- Unclear ownership. Anyone who won't clearly say who owns data and access doesn't have your interests at heart.
- No contact with technical expertise. If only sales sits in the first meeting, that's where misunderstandings arise.
04 — Questions
Frequently asked questions
Do we get materials?
Yes: the slides, a collection of proven prompts for your tasks, and the usage policy as an editable document.
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.
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.
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.
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.
05 — Next
Related pages
- AI Training — Overview
- AI training — Ongoing operations
- AI Training — Provider Comparison
- AI Training — Requirements
- AI training — integration
- AI training — checklist
- AI Training — Do It Yourself
- AI Training — Value
- AI Consulting
- AI automation
- AI knowledge base
- All guides
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