Stas Kulesh (CPO at Sky AI)

AI summaries break down when findings cannot be traced back to exact pages. Bates numbers turn source attribution from a nice-to-have into a defensible review workflow.

AMA Guides AI software should do more than summarize records. It should organize evidence, support WPI logic, and help reviewers build defensible impairment ratings faster.

The document AI market still assumes most categorization problems look like medical records. Enterprise teams dealing with mixed document types need a more configurable model.

Most document AI platforms stop at summaries. AMA Guides work starts later, when a reviewer has to connect diagnoses, clinical findings, and chapter logic into a defensible impairment rating.

Eighty percent of enterprise data in healthcare and legal sectors is locked inside a black hole of PDFs and handwritten notes. Template-based extraction is a fragile hack. See how we're using contextual LLMs and Bates Link citations to turn unstructured document chaos into an interactive, queryable database.

How automating document classification accelerates high-volume workflows without sacrificing accuracy. In insurance, legal, and healthcare operations, teams still waste hours manually sorting chaotic case files, duplicate pages, and mixed record sets before any real analysis can begin.

A buyer's guide to AI document review platforms: features, pricing models, speed, compliance, and what separates tools that scale from those you'll outgrow.

Transform manual AMA Guides impairment ratings with AI. Reduce 15-20 hour reviews to under 60 minutes with automated WPI calculation software.