AI procurement trigger

AI model provider register template

When a buyer asks which AI model providers support a product or workflow, the safest answer is a current register that separates provider name, feature, use case, data category, training-use position, human review, evidence source, owner, and last-reviewed date.

Register fields to prepare

Model provider name and the product, feature, or workflow it supports.
Approved use case, disallowed use case, and whether the use is production, evaluation, or internal-only.
Data categories that may enter the model provider, including whether customer or client data is allowed.
Training-use position, stated as current agreement language or review-needed status.
Human review step before output reaches customers, clients, buyers, or production systems.
Evidence source, owner, and last-reviewed date for each provider row.

Safe wording pattern

Keep the register factual and narrow. If the team has not reviewed a model provider agreement, data-processing term, subprocessor note, or model card, mark the field as review-needed instead of implying the answer is approved.

Do not claim EU AI Act compliance, security approval, procurement approval, customer-data training restrictions, or buyer approval unless the team has reviewed evidence for that exact claim.

Download the starter CSV

The starter CSV gives five example rows for common provider patterns: support drafting, internal research, feature evaluation, customer-facing AI features, and local open-source models.

Download model provider register CSV

Need the full packet?

The Growth Procurement Stack includes AI-use disclosure, AI vendor register, subprocessor, evidence, and security questionnaire templates so model-provider answers connect to the rest of the buyer review packet.

See Growth Stack Open AI questionnaire guide

Scope limit

This guide and CSV are documentation starters. They are not legal advice, privacy advice, cybersecurity advice, procurement advice, compliance advice, EU AI Act compliance, compliance certification, permission to use restricted data in AI tools, or a guarantee of buyer approval, security approval, procurement approval, client approval, regulatory approval, pilot conversion, revenue, profit, savings, or timeline reduction.