Document Intelligence

Paperwork is where enterprise AI demos go to lose their charm. In a product demo, an AI agent usually receives a clean PDF, a friendly question, and a document that has the decency to behave like a document. It summarizes, retrieves, answers, maybe even produces a small spreadsheet. Everyone nods. Someone says “workflow automation.” Someone else says “agentic.” The meeting ends before anyone asks whether the same system can handle 89,000 pages of historical reports, nested tables, revised statistics, scanned pages, ambiguous row headers, and a calculation that must be correct to the last digit. ...

Archive work has a very simple-looking question at its center: who was where, and when? That question looks harmless until a machine has to answer it from a century-old newspaper, after OCR has mangled the spelling, the place names have shifted, the language is not always English, and the text only implies the answer through an event, job title, or institutional affiliation. At that point, “extracting information” becomes less like copying a fact from a sentence and more like making a legally cautious inference from a witness who speaks in fragments. ...

A reaction scheme looks like a picture. To a chemist, it is closer to a compressed process model. A few arrows may encode the starting materials, catalysts, solvents, temperatures, intermediate states, selectivity, yield, and the structural change that makes the entire experiment worth publishing. Reading that scheme correctly is already difficult. Reading the paper around it is worse. ...

A document rarely fails its reader all at once. More often, the trouble is local. One paragraph quietly assumes too much background knowledge. One sentence carries three clauses and a hidden definition. One legal or medical instruction is technically correct but operationally useless because the intended reader cannot parse it without a second coffee and mild spiritual assistance. ...

A small insurance broker redesigned a fragmented claims-preparation workflow into a human-reviewed agentic process that turns scattered documents into completeness-checked, risk-screened, underwriter-ready files.