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Procedures and protocols · Procedure · Adoption and culture

AI Marketing Claims Substantiation Procedure

Process to back every advertising claim about AI capabilities with evidence before publication, with a substantiation file, legal sign-off and periodic review.

GROU LLC · built on AI Business Core, by Vreinn · · How we verify sources

Who it helps

Companies selling AI products or using AI as a marketing claim in the US or the EU.

Who uses it
Marketing, product, sales and legal
Usual owner
Marketing; legal
Formats
DOCX, PDF
Languages
Español, English
Approximate length
5 pages
Length
Standard. A complete policy, procedure, plan or guide, with roles, deadlines and evidence.
Document type
Procedures and protocols. Concrete steps for a task: who does what, in what order, by when and what gets recorded.
Document code
APG-ADP-005. APG is the AI Policy Generator collection, ADP the area (Adoption and culture) and the number identifies the document. Use it to cite the document in your document system.

Preview

Excerpt generated from the document: the "How to use this document" section, the title and the first two sections, plus the full table of contents. The rest of the text is not shown.

APG-ADP-005 · Version 1.1.0 · sources as of November 4, 2026

How to use this document

  • Use it to make sure no claim about the organization's AI capabilities, results or use is published without prior evidence, review and approval, and to keep that evidence in a file for each claim.
  • Suggested owner: marketing, with legal as final approver; product and data provide the technical evidence.
  • Before adopting it, decide: which materials fall under the procedure (website, ads, proposals, press releases, app store listings, investor presentations), who approves each risk level and how quickly a claim is revalidated when the model changes.
  • Complete the bracketed fields: owners, thresholds, timelines and the tools where files are kept.
  • Section 11 summarizes the criteria for the United States and the European Union; keep the markets where you advertise and delete the rest.
  • Ask internal legal or an external advisor to review high-risk claims (section 5) and comparative claims before publication, and to validate the red list against the rules in each market.
  • Approve the procedure in the [AI COMMITTEE], train marketing and sales, and start by reviewing claims that are already published.

AI Marketing Claims Substantiation Procedure

1. Purpose and scope

[ORGANIZATION NAME] establishes this procedure so that every advertising or commercial claim about artificial intelligence is truthful, is backed by reasonable evidence before publication and stays up to date while it remains in circulation.

It applies to any claim, express or implied, about:

  • the use of AI in the organization's products or services ("AI-powered", "built with AI");
  • features, capabilities, accuracy, speed, autonomy or results of an AI system;
  • savings, return on investment or customer improvements attributed to AI;
  • security, privacy, absence of bias, ethics or regulatory compliance of an AI system;
  • comparisons with competitors or with traditional methods.

It covers all channels: website, ads, social media, emails, app store listings, press releases, case studies, sales decks and proposals, tender responses, demos, event materials and [OPTIONAL] investor communications.

2. Definitions

  • AI claim: any message a reasonable recipient would understand as a statement of fact about AI.
  • Implied claim: one that is not stated literally but follows from words, images, logos or context (for example, a customer logo next to "trusted by").
  • Puffery: a subjective opinion no one would read as a measurable fact ("an amazing experience"). It needs no file, but it is checked to make sure it does not hide a measurable claim.
  • Reasonable basis: objective evidence, existing before publication, that supports the meaning the recipient takes from the claim.
  • Substantiation file: a folder with the claim, its interpretation, the evidence, the limitations and the approval (section 7).
  • "AI washing": presenting as AI something that is not, or overstating what an AI system does.

Full table of contents of the document:

  • 1. Purpose and scope
  • 2. Definitions
  • 3. Principles
  • 4. Classification and level of substantiation
  • 5. High-risk claims (red list)
  • 6. Procedure
  • 7. Substantiation file
  • 8. Rules for tests and metrics
  • 9. Qualifiers and disclosures
  • 10. Testimonials, reviews and influencers
  • 11. Criteria by market
  • 12. Sales and commercial proposals
  • 13. Correction and withdrawal
  • 14. Responsibilities and training
  • Implementation aids
  • Related regulatory references
  • Version history

Rules in the registry whose obligations relate to this base document, based on our reading of the sources. It does not mean they apply to you.

European Union

United States (federal)

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