Direct answer: do not send 100 assets to counsel as if they contained 100 new claims. First create an approved record for each objective claim, then require every variation to reference it. The record should hold exact language, permitted transformations, evidence, product and population scope, market, channel, qualifiers, owner, validity, and release state. Rules block invalid combinations; AI extracts and compares; accountable people still decide sufficiency, context, and release.
Without that link, AI lowers the cost of drafting copy, images, and video while multiplying the inventory that must be reviewed. A statement supported by one U.S. study becomes a superlative on a landing page, loses a qualifier in display, or travels to another product and market. The bottleneck moves from creation to approval, correction, and investigation. Faster generation is not faster release—and faster release is not automatically better marketing.
Separate the claim, evidence, and asset
A claim is the message a reasonable audience may take away: performance, savings, comparison, availability, safety, price, sustainability, or an expected result. Evidence is the support for that statement within a defined scope. An asset is the final expression in an ad, email, landing page, video, or script.
One body of evidence may support controlled variants of one claim. One asset may contain several claims. The same sentence can communicate something different when the image, headline, omission, or call to action changes the overall impression. A PDF in an “approved” folder is therefore not enough. Preserve the relationship among promise, proof, context, and released version.
Write the Claim Evidence Contract
- Identity — claim_id, version, language, product, owner, and effective date.
- Wording — approved text, intended meaning, implied claims, and permitted transformations.
- Evidence — source, method, date, sample, result, limitations, and verifiable location.
- Scope — population, product, plan, geography, channel, time period, and conditions supported.
- Qualifier — required disclosure, visual proximity, legibility, and where shortening is prohibited.
- State — draft, in review, approved, restricted, suspended, or withdrawn.
- Validity — start, expiry, revalidation trigger, and effect of product, price, policy, or study changes.
- Use — assets, campaigns, URLs, markets, and channels referencing this version.
- Decision — approver, rationale, exception, date, and owner for correction or withdrawal propagation.
The Contract does not certify that a claim is lawful everywhere. It makes visible what was approved, for which use, and against which evidence so qualified teams can apply jurisdictional and sector rules. Health, safety, financial, environmental, and comparative claims generally deserve review proportionate to their risk and use.
What official sources change in the workflow
The FTC expects a reasonable basis before objective claims are disseminated and evaluates both express and implied messages. Required support depends on the claim, product, possible harm, and expert expectations. A guarantee, testimonial, or satisfied customer is not a substitute for objective evidence where substantiation is required.
Google Ads disallows inaccurate claims or improbable results presented as likely outcomes. Brazil's CONAR code requires objective descriptions, claims, and comparisons to be supportable and addresses misleading omissions, exaggeration, and ambiguity—a useful reminder for regional operations, not U.S. legal advice. NIST documents how generative AI can produce false content and citations confidently. None provides an automatic “compliant” score; together they show why evidence must precede scale.
Divide work among rules, AI, and people
Deterministic rules validate identifiers, state, market, product, channel, expiry, required qualifiers, and version. Integrations connect the brief, claim library, DAM, CMS, email, and media workflow. AI can extract candidate claims, retrieve approved records, compare a variation with authorized meaning, flag a missing qualifier, summarize evidence, and cluster assets for review.
AI does not decide that evidence is sufficient, convert correlation into causation, extend a study to another population, or release a material claim alone. Product confirms operational truth; technical experts assess method; legal and compliance interpret obligations; brand evaluates clarity and context; channel owners validate execution; marketing remains accountable for the promise and final asset.
Practical example: “30% less time”
Assume an internal study finds a 30% average reduction in task time for customers on one plan over eight weeks against their prior process. That does not automatically authorize “30% more productive,” “save 30%,” or “guaranteed results.” Unit, comparator, population, period, variance, and condition matter.
The record might permit “30% average reduction in task X time among population Y during period Z,” require a nearby qualifier, and prohibit extensions to cost, revenue, or the entire product. If the plan changes, the sample expires, or an asset removes context, it returns to review. The setup costs more up front and reduces repeated review when dozens of variants reuse the same approved core.
A six-week pilot for one product and campaign
Week 1: select one recurring campaign family and inventory 30–50 claims, assets, sources, rejections, and corrections. Week 2: classify objective, subjective, comparative, and regulated claims; assign authoritative sources. Week 3: configure Contract fields, states, roles, and expiry rules. Week 4: process 50–100 variations in shadow mode without automatic publication.
Week 5: review false blocks, missed deviations, qualifiers, languages, and disagreements across marketing, product, and counsel. Week 6: release one low-risk cohort with rollback and compare it with the current process. The gate requires accessible evidence, preserved scope, no hidden new claim, named approver, correct qualifier, frozen asset version, and tested withdrawal propagation.
Start with governed records and IDs before buying a platform. Cost rises with claim volume, products, markets, formats, video, regulated categories, change frequency, connected systems, historical repair, and expert availability. Real-time integration is needed only when product, price, or evidence changes fast enough to make batch control unsafe.
Measure speed with quality
- Coverage — assets and claims linked to evidence, scope, owner, validity, and version.
- First-pass approval — share released without material rework and rejection reason.
- Time — hours from brief to release, separated across creation, evidence, legal, brand, and channel.
- Reuse — approved claims safely reused by market and format.
- Correction — time to locate, suspend, and replace every use of a claim.
- Economics — total cost per approved asset actually deployed, not per generated variant.
- Countermetrics — false block, false approval, lost qualifier, scope expansion, and withdrawn claim still live.
The campaign workflow at https://makinai.co/insights/en/ai-campaign-production-workflow-brief-to-launch organizes brief to release. Localization at https://makinai.co/insights/en/ai-campaign-localization-us-brazil-latin-america separates invariant meaning from market adaptation. The creative-learning system at https://makinai.co/insights/en/ai-creative-learning-system-campaign-media connects assets to decisions, and promotion consistency at https://makinai.co/insights/en/ai-promotion-consistency-ads-landing-page-checkout carries the offer into checkout. This Contract solves a narrower layer: the defensible promise inside each asset.
If claim review has become the new bottleneck in AI-assisted production, bring MAKINAI at https://makinai.co/services/en/branding-creative-digital-experience-agency one brief, ten assets, their evidence, and the review thread. We can scope the smallest pilot that improves reuse and cycle time without automating an accountability decision your company still owns.