Guides
Guides
Vendor-neutral explainers on AI document extraction and the human-in-the-loop record that makes AI-assisted decisions trustworthy — including how to check any vendor's accuracy claim, ours included.
Invoice & document extraction
How to automate invoice data entry without losing accuracy
The exception-review model: extract every field with a confidence score, auto-accept the confident ones, and route the rest to a human before the data enters your systems.
How accurate is AI invoice data extraction?
Field- vs document-level accuracy, why a raw accuracy number is misleading, and how to verify any vendor's claim on your own documents.
How to extract data from scanned PDF invoices
Scanned PDFs are harder than digital ones: noise, skew, and stamps cause silent errors. How confidence scoring plus human review catches them before the data lands.
Health utilization review & SB 1120
Does California require a human to review AI claim denials? (SB 1120)
What the Physicians Make Decisions Act actually requires — a licensed human behind every medical-necessity decision — and how a signed, human-in-the-loop record proves it.
AI utilization-review compliance: the human-in-the-loop mandate
Why AI-assisted UR denials need qualified human review — SB 1120, CMS prior-authorization, defensibility — and how a verified, signed decision record satisfies it.