Manufacturing
Should manufacturers let AI vendors train on their data for free?
By SourceX Editorial · Reviewed by Noah Loul ·
Short answer
Manufacturers should let AI vendors use their data for free only when the vendor uses it to run or improve the service for their own account. When a vendor wants to train models that serve other customers, treat the request as a license: negotiate scope, de-identification, opt-out, deletion and value, or decline. ERP, MES, quality and maintenance terms come first.
Key takeaways
- Free use is reasonable when it serves only your own account; training models for other customers is a license.
- AI training rights often hide in definitions of usage data, aggregated data and service improvement.
- Updated online terms and admin-console settings can switch on training without a new signature.
- Operational records with outcomes are what AI developers seek, so giving them away has a real cost.
- You may not have the right to permit training on customer-owned designs or data at all.
Where the line between free use and a license sits#
The line between free use and a license sits at who benefits. If a vendor uses your records only to run, secure or improve the service you pay for, that use is part of the bargain. If the vendor uses them to train models it sells or deploys for other customers, your records have become an input to its product.
Apply the rule to each use the vendor describes, not to the vendor as a whole. One agreement can contain an acceptable service use and an unacceptable training use side by side.
| Vendor use | Who benefits | Decision rule |
|---|---|---|
| Processing records to deliver the service | You | Expected; covered by the subscription |
| Tuning a model only for your account | You | Usually acceptable with confidentiality and deletion terms |
| Aggregated benchmarking across customers | You and other customers | Check de-identification and opt-out |
| Training general models offered to other customers | The vendor and its customers | Treat as a license: negotiate or decline |
| Sharing records with affiliates or third parties | Third parties | Decline unless licensed in writing |
| Building the vendor's own data products | The vendor | Treat as a license |
Where AI training clauses hide in manufacturing software terms#
AI training clauses in manufacturing software terms rarely sit under a heading that says so. They live in definitions and side documents that change more often than the master agreement.
Review ERP, MES, quality, maintenance, CAD and field service agreements, not only the newest tools. Older platforms add AI features through updates, and the governing terms often move with them.
- Definitions of customer data, usage data, telemetry and aggregated or de-identified data.
- Service improvement language that lets the vendor use data to develop its products.
- AI or generative feature addenda added to the agreement after signing.
- Online terms incorporated by reference that the vendor can update by notice.
- Data processing addenda that describe purposes and subprocessors.
- Admin console settings that, on some platforms, switch on data sharing for AI features by default.
Which manufacturing systems to check first#
The systems to check first are the ones holding records with decisions and outcomes, because those are the records a vendor's model would learn the most from. Within that group, start with the platforms that added AI features most recently, since their terms are the most likely to have changed since you signed.
| System | Records at stake | What to look for |
|---|---|---|
| ERP | Quotes, orders, job costs, customer pricing | AI assistant addenda and usage data definitions |
| MES | Production events, downtime, operator actions | Telemetry and service improvement clauses |
| Quality system | NCRs, CAPAs, complaints, audit findings | Attachment handling and the scope of de-identification |
| Maintenance system | Work orders, technician notes, asset history | Sharing settings switched on by default |
| CAD and PLM | Designs, change orders, customer models | Any training use touching customer-owned designs |
| Field service | Tickets, site details, photos | Handling of photos and customer contacts |
Questions to ask your software vendor#
The questions to ask your software vendor are specific: what data, which models, for whom, for how long and how to stop it. Get the answers in writing, ideally as an amendment rather than an email from a sales contact.
- Which of our data do you use for model training, including attachments and free text?
- Are trained models used only for our account, or for other customers too?
- How is data de-identified, and does that cover names inside free-text notes?
- Can we opt out without losing features we already pay for?
- If we opt out, what happens to data already used, and can it be deleted?
- Will you notify us before terms or settings change?
- Do you claim any exclusive rights to use our data?
Why operational records are worth more than a free default#
Operational records are worth more than a free default because they are what AI developers struggle to find: real decisions with real outcomes. Nonconformance histories, maintenance work orders, quote revisions and service tickets show how experts reason, and that is the same material independent licensing focuses on.
Once records are used for training, the use cannot easily be reversed. Agreeing for free can also weaken your position later, especially if the vendor terms grant broad or exclusive rights. Keeping the option to license separately costs little when it is negotiated up front.
Agreements vary widely, so have counsel review yours before you sign, accept new terms or opt out. This section is general information, not legal advice.
Illustrative: a foundry reviews its maintenance software renewal#
Illustrative: a fictional iron foundry uses a cloud maintenance system for its melt, molding and finishing equipment. At renewal, the vendor's updated terms add an AI addendum allowing training on de-identified customer data to improve models for all customers, with sharing switched on by default.
The CFO and plant manager agree that the new AI troubleshooting feature is worth having for the foundry's own technicians. They are not willing to let years of work orders train a model for every foundry on the platform without agreed terms.
The foundry keeps the feature, opts out of cross-customer training in writing, negotiates deletion of any data already used and adds a clause confirming it may license its maintenance history to others. The work order archive stays available for a separate, approved license.
What if you already agreed?#
If you already agreed to vendor training, the first step is to find out exactly what was granted and whether it can be withdrawn going forward. Some terms allow an opt-out for future data even when past use cannot be undone.
Ask the vendor for a written description of what data was used, when and for which models. Record the answer, change admin settings where you can, and note the prior use in any later license discussion, because buyers ask about earlier grants and exclusivity.
Then set a rule for the future. Assign one person to read AI addenda and term updates for every operational system at renewal, and keep a short register of what each vendor may do with your records.
How SourceX approaches vendor training requests#
SourceX is not a model developer, though the signed agreement does license it to use the deidentified dataset, including for model training. Its role in a vendor training question is narrower: during Rights, the second stage of the SourceX five-step transaction of Supply, Rights, Preparation, Approval and Delivery, it reviews software vendor terms, because those terms can limit exports, reveal earlier grants or claim rights in de-identified data.
If the company later licenses its records, the SourceX Evidence Packet records permitted use alongside provenance, licensing rights, the privacy record and release authorization. The company then knows what it allowed, to whom and for what, and can disclose any earlier vendor grant to a buyer up front.
Frequently asked questions
Is de-identified data still ours under vendor terms?
Not always. Some agreements define aggregated or de-identified data as the vendor's to use freely, even when the source records are yours. Read the definitions closely, and ask whether names and part numbers inside free-text notes are covered by the de-identification process.
Will opting out break AI features we use?
It might. Some features rely on shared models, while others work from your account's data alone. Ask the vendor which features depend on cross-customer training before you opt out, and get the answer in writing.
Does vendor training stop us from licensing our records elsewhere?
Not automatically, unless the terms grant exclusivity or broad rights that conflict with a later license. Buyers do ask about prior grants, so record what each vendor may do and disclose it in any license discussion.
Can we ask the vendor to give something in return?
Yes. You can ask for pricing concessions, deletion rights, a defined term, limits on which models are trained or early access to features. Whether a vendor agrees is a negotiation, and some vendors simply offer an opt-out instead.
What about customer data stored in our systems?
Customer drawings, specifications and contact details stored in your systems may not be yours to share. Customer contracts can prohibit any outside use, so you may be unable to permit vendor training on that material even if you wanted to.
Should we switch off AI features entirely to be safe?
Not necessarily. Many AI features run on your own account's data and help planners, technicians and quality staff. The decision is about training rights, not the features themselves, so separate the two when you review each agreement.
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