PIPELINEGuide
AI Consulting: 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 consulting, the following should be clarified in writing: data and access belong to the client, in which format and timeframe they will be handed over upon termination, what a later change costs, and that documentation is a line item in the quote and 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 also get recommendations for providers other than you?
Yes, where it makes sense. Some use cases are better suited to standard software or a specialized provider — that's stated in the document, not hidden.
Who should be at the workshop?
At least one person from management and two to three who do the affected processes daily. Without the second group, you get a list that doesn't work in practice.
Isn't this just a disguised sales event?
The recommendation regularly includes items you can implement yourselves or with your existing service provider, as well as cases we advise against. The document is yours and works without us too.
Isn't a conversation with management enough?
No, that's the most common reason for a list that doesn't work later. The people who do the processes daily know the exceptions that an outside perspective never sees.
What if nothing makes sense for us?
Then that's what the report says. It happens, especially with businesses that have very few recurring processes or no digital data foundation. An honest no is cheaper than a project that runs aground.
How does this differ from consulting by the Chamber of Commerce?
The Chamber offerings provide a good overview of funding options and basics. We go a step further and look at your specific processes and systems — with effort estimates that we ourselves would have to meet.
What does it cost us if nothing comes of it in the end?
Only the agreed price for the workshop and document — there's no success fee and no hidden follow-up obligation. The preliminary conversation is free and is meant to catch exactly these kinds of mismatched inquiries beforehand.
05 — Next
Related pages
- AI consulting — Overview
- AI consulting — duration
- AI consulting — checklist
- AI consulting — requirements
- AI consulting — Data protection
- AI consulting — Costs
- AI consulting — alternatives
- AI consulting — Cost-effectiveness
- AI automation
- Process automation
- AI training
- All guides
AI consulting by region
Next step
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