CadreAI

Self-Verifying Insurance Document Indexer — Indexing emailed insurance documents (certificates of insurance, first-notice-of-loss claims, binders) is a back-office slog that takes teams weeks of manual keying and goes stale the moment a new document arrives. This turns those emailed PDFs into verified, structured records in seconds, where every field shows its work: each value traces to a verbatim span in the source document (visible, highlighted, in the actual PDF), low-confidence fields route themselves to a human review queue instead of being guessed, updated documents reconcile with a field-level diff and re-verify only what changed, and an independent, deterministic verifier grades every record against six gates — grounding, schema, confidence-routing, no-fabrication, reconciliation, and accuracy against ground truth — so "done" is a green check, not an opinion. It's built to flex to any insurer: one config file re-targets the entire pipeline to a new document type with no code change, a router auto-selects the right schema for a mixed inbox, per-company profiles route the same document to different departments, and an insurer can define what to collect just by chatting with a configuration agent. Powered by Claude Opus 4.8 (the extraction engine, the self-correcting loop, routing, and the live chat) and built end-to-end in Claude Code; all code is original and the document corpus is synthetic and fictional. **DISCLAIMER: all pdfs/emails are synthetic**

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