Where things stood
Documentation requirements vary by product type, composition and market, but supplier records often lack the attributes needed to even determine whether a document is required. Evidence arrives scattered across PDFs, certificates, portals, spreadsheets and emails — sometimes disconnected from the correct SKU, sometimes missing the expected information entirely. A spreadsheet-based check goes stale the moment anything changes.
What changed
Claro structures the product data and uses categories, attributes and supplier information to identify which rules could apply. The customer reviews and approves explicit, deterministic checks with defined conditions and mandatory evidence. AI surfaces candidate rules and extracts facts from supplier documents with provenance attached, while validation returns a clear outcome on every product: pass, fail, missing evidence, or needs review.
What it looks like today
A live view of which products require which documents, and which are missing evidence.
Conflicting information and unlinked documents surfaced instead of hidden in a spreadsheet.
A transparent, scalable workflow — with deterministic checks and human review controlling the final call, never an AI recommendation presented as a legal determination.
Deterministic checks and accountable human review must control the final operational outcome.