Every engagement ships these as concrete artifacts you own — not slides, not hand-waving.
Documents come in via API, S3, email, or scanner. Auto-classified by type (invoice / KYC / contract / claim) with model confidence scoring.
Vision-LLMs (Claude / Gemini / GPT-4V) extract structured fields per your schema. Every extracted value carries a bounding-box citation back to the source page.
Cross-field checks (totals match, dates in range, entity exists in your CRM), regex validators, and a confidence threshold that routes ambiguous docs to human review.
Low-confidence docs queued to ops staff with the source page + extracted fields side-by-side. Corrections train the next iteration.
Define output schema, gather 100–200 sample documents covering edge cases. Score baseline accuracy on a stock model.
Iterate on prompts, few-shot examples, validation rules. Tune the confidence threshold to balance auto-approval vs review queue size.
Wire to your CRM / DMS / claims system, set up the review console for ops staff, runbook for exception handling.
We staff the review pod (or you do). Monthly accuracy reports, schema-drift alerts, model upgrades when frontier models improve.
Best-in-class where it matters; boring and battle-tested everywhere else.
Per-1000 rate includes review pod time at agreed throughput; scales down significantly past 100K docs / month. One-time setup fee for schema + integration is quoted per project after the sample review.
Invoices, purchase orders, contracts, KYC packs (PAN / Aadhaar / passport / utility bill), insurance claims, medical forms, legal contracts, GST filings. Pretty much anything humans currently key in by hand.
Yes — for BFSI, government, and healthcare clients with data-residency rules. We deploy vision-LLMs on your GPU cluster. Throughput is lower but compliance is intact.
Vision-LLMs handle clear handwriting reasonably well; messy doctor’s prescriptions and field forms still need a human pass. We auto-route based on confidence.
Field-level F1 against a held-out gold set, plus end-to-end auto-approval rate. We share a monthly accuracy report with the breakdown by document type and field.