Document intelligence is the practice of using AI to read business documents, contracts, invoices, forms, claims, statements, and pull out the meaning a person would. Instead of treating a PDF as a flat image or blob of text, the system identifies fields, tables, relationships, and intent.

It works by combining several capabilities: optical character recognition to lift text off the page, layout understanding to know where things sit, and language models to interpret what the content means and how fields relate. The output is clean, structured data your other systems can act on, with a confidence score on each value.

At arosplatforms we treat document intelligence as a pipeline, not a single model. We pair extraction with grounding and human review on low-confidence items, so the output is accurate enough to drive downstream workflows in finance, legal, and operations without quietly introducing errors.