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Compliance checks that read the whole product record
Write rules in plain language
Turn style guides and retailer requirements into rules without writing code.
Make rules conditional, so they apply only to the categories or attributes they cover.
Update a rule once and re-run it across products already published.
Check at every stage
Check new supplier products as soon as they are imported.
Audit live content in bulk across the whole catalog.
Re-run checks after edits, so every change meets the same rules.
Review and fix flagged products
Score each product against its rules and send products below your threshold to review.
Route copy issues and data issues to the teams that fix them.
Fix flagged copy and data without leaving the platform.
Built for enterprise ecommerce teams
Benefits of AI compliance checking
Frequently asked questions about AI compliance checking
What does an AI compliance checker do in ecommerce?
It reviews product copy and product data against your rules before they are published. Rules cover banned and required terms, claims that need proof, formats and character limits, and facts that must agree across the product record. Each product receives a pass or a flag that names the rule and the field. In Hypotenuse AI, the checks run in the same platform as your catalog and images.
What kinds of rules can a compliance checker enforce?
Rules can cover banned claims, required wording, claims that need proof and format limits. A skincare rule can flag medical language such as "cures" or "treats acne". A claim like "OEKO-TEX certified" can pass only when a certificate number is present in the product data. Titles over a channel's character limit are flagged for review.
How does compliance checking catch product data that contradicts itself?
The checker reads the whole product record together. A product typed as sneakers with an image of a dress is flagged as a mismatch, and so is a pump whose feature copy mentions mules. Each flag shows its reason, so reviewers can see why a product was flagged and fix the right field.
Can compliance checking run separately from enrichment and copy generation?
Yes. A checker runs as its own step on products you already have, including content that is live today. Run it on new supplier data as it arrives, or in bulk across the whole catalog. Checks can also run after product copy generation and product data enrichment, so new values are reviewed before they go live.
Are compliance rules pre-built or custom?
Rules are written for your business. During onboarding, our team works with yours to turn your guidelines and the regulations that apply to your categories into working rules. After launch, your team adds or edits rules in plain language, and updated rules can be re-run across products already published.
Can each channel and category have its own compliance rules?
Yes. Create as many checkers as you need, each with its own rule set. A food labeling checker and a beauty claims checker can run on the same catalog, and rules can be conditional so allergen rules run only on food products. Each allergen gets its own rule, so a "tree nut free" claim is flagged when the ingredient data lists almonds.
Who can create and change compliance rules?
Roles and permissions control who can create or change rules. Each flag shows the rule behind it, so reviewers can see exactly why a product was flagged and adjust the rule where needed. Changes to product data are logged and can be rolled back.
Does compliance checking cover product images?
Yes. Image compliance checks validate backgrounds, dimensions, resolution and cropping against each retailer's image requirements. Images and copy are checked against the same product record, so an image that contradicts the product data is flagged too.
Does compliance checking replace human review?
Checks decide which products need a person. Teams set which results approve automatically and which route to a reviewer, by category or confidence threshold.
How does AI compliance checking compare with manual review?
| Check | Manual review | Hypotenuse AI |
|---|---|---|
| Banned terms | A reviewer reads each listing | Flagged with the phrase and field named |
| Claims that need proof | A reviewer checks product data by hand | Claim checked against certificate numbers and attributes in the product data |
| Image, attributes and copy that disagree | A reviewer compares each field | Flagged with the fields that disagree |
| Different rules per channel and category | Separate checklists per team | Separate checkers, each with its own rule set |
| Guideline changes | Checklists updated and reviewers briefed | Rule edited in plain language and re-run across the catalog |
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