What the LLM does
Four scoped prompts identify candidate revenue, cash-flow, related-party, and communication-pattern issues. A strict second pass classifies only against supplied evidence.
System architecture
Models interpret. Code calculates. Filings provide evidence. Validators verify. Humans decide.
Four scoped prompts identify candidate revenue, cash-flow, related-party, and communication-pattern issues. A strict second pass classifies only against supplied evidence.
Python recomputes growth, free cash flow, margins, and direct values using filed inputs and explicit tolerances. Model arithmetic is never authoritative.
The retrieval stage ranks multiple passages from statements, footnotes, MD&A, policies, segment notes, and reconciliations for each stable finding.
Every proposed explanation quote is matched against the filing and checked for a direct relationship. Numerical explanations must bridge the actual gap.
An analyst reviews the complete evidence chain and records accept, reject, or needs-review for every finding. The decision updates the integrity digest.
EXPLAINED requires all four gates