Content revision ea31a3343577b30cee4337cf2fef2b0864a5741341f27598e9108766c486fb2d

## Risk Assessment Across Long Documents

Builds
Source ID projects:pwcDocumentReview
Original https://www.henryw.me/#/projects?to=pwcDocumentReview

Henry translated risk definitions into evidence requirements and decision rules. Optional source guidance identifies report sections likely to contain useful context. He separated reading the report from assessing what its evidence means. An evidence-record schema preserves each observation, its context, source location and potential relevance to different risks. These records give facts from different pages a common structure for comparison and synthesis.

The full-document architecture preserves report structure while dividing it into chunks. A vision-language model reads every page and can extract several independent evidence records from each one. The evidence ledger collects these records across the document. A separate synthesis pass for each risk combines the relevant records and applies its decision rules. It can request further source-page review when additional context is needed.

Henry implemented the workflow end to end. Chunks based on the table of contents are rendered as page images and analysed in parallel, followed by parallel risk assessments that reuse the shared evidence ledger. Across three sample reports of a few hundred pages, the estimated average was about five minutes and US$0.68 in model calls, combining measured page rendering with recorded model timings and usage.

The review workspace presents findings and their interpretation beside the original report. Each interpretation opens its source page. The Evidence Explorer shows both the evidence used in the assessment and the other context considered. Reviewers confirm, correct or reject findings, and their decisions carry into the review summary. The public interactive example uses fictional report content.