context
Product compliance teams must clear labels, packaging, manuals, datasheets, e-commerce content, and technical documentation against different requirements by country, region, product category, language, and sales channel
The applicable rules are dispersed across laws, standards, guidance, internal interpretations, and past decisions, while the evidence — certificates, SDS, test reports, supplier declarations — lives across PLM, ERP, PIM, DAM, and QMS systems. Every approval gates a launch or a market entry, and every decision must be defensible to inspectors, customer audits, and authorities.
Before
Manual review, market by market
Clearing a product means manually checking labels, warnings, mandatory symbols, manufacturer and importer data, and claims against rules scattered across regulations and internal notes, repeated for each country, language, and SKU variant. Experts spend their time searching, comparing, copying, and reformatting rather than judging risk, and because product information is validated by hand across packaging, manuals, datasheets, and online pages, inconsistencies in names, addresses, materials, or warnings slip through. Similar products receive different conclusions depending on the reviewer or country, sustainability and safety claims are hard to substantiate, and with decisions buried in emails and files it is difficult to prove what was checked, against which rule, and on what evidence.
AFTER
Requirement-driven clearance, consistently applied
Labels, leaflets, declarations, and test reports are uploaded into a knowledge base configured with the applicable requirements per market, category, and channel, processed and cross-referenced automatically regardless of format or language. Agents loaded with compliance-specific rules validate mandatory label elements, check claims against their supporting evidence, and detect hidden inconsistencies across packaging, manuals, datasheets, and e-commerce content — every check traceable to the rule and evidence behind it. The platform reuses previously approved labels, claims, and classifications for product variants, monitors certificate and declaration expiries, and gives management a live view of which products are cleared, blocked, pending, or at risk across every market.
Multilingual evidence processing
Labels, declarations, and test reports arriving in any language are normalized into the same requirement ingestion, so a reviewer validates against one consistent structure instead of interpreting each document in its original language.
Requirement-to-decision traceability
Every clearance links the requirement checked, the evidence used, and the conclusion reached into a single traceable record, making each approval defensible to inspectors, customer audits, and authorities without reconstructing the reasoning after the fact.
Reusable approval knowledge
Previously approved labels, claims, classifications, and translations are retained and reapplied to product variants and SKUs, so repetitive checks across families and private labels draw on prior decisions instead of restarting from scratch.
Cross-material consistency detection
Agents compare product names, legal entities, addresses, materials, warnings, and claims across packaging, manuals, datasheets, and e-commerce content, surfacing hidden inconsistencies that manual, document-by-document review routinely misses.
Configurable by domain, not by code
Talk to the AI lab to see how Workbench would apply to your workflow