Extracted record click a field to trace its source
What production would need (the part that matters)
Evaluation harness before anything else — a labelled corpus of real submissions, per-field precision/recall tracked per model version; no deployment without a regression gate.
Human-in-the-loop by design — confidence thresholds route fields to underwriter review (as demonstrated here); the system drafts, a person decides. Review decisions feed back as training/eval data.
Full audit trail — every extracted value stores its source span, model version, prompt version, reviewer and timestamp; regulators and E&O insurers will ask.
Guardrails — schema validation on output, numeric cross-checks (e.g. schedule TIVs must sum to total), sanctioned-territory screening, PII handling per UK GDPR.
Standards alignment — target schema should map to ACORD GRLC / the Core Data Record thinking, so extracted data drives downstream automation rather than another silo.
Security — documents are commercially sensitive: private endpoints, no training on client data, retention schedule, DLP on exports.
SLIPSTREAM is a personal prototype by Michael Bertin. All submissions, parties and figures are synthetic. Extraction outputs were generated offline by an LLM pipeline and embedded for demo stability.