AI Document Processing Agents That Read, Check and Draft

An AI document processing agent is software that uses a large language model to read documents, extract structured information, check it against rules and take the next step, such as drafting a reply or flagging a gap. Unlike template-based extraction, it handles documents whose layout and wording vary.

Yes. Pages without a text layer go through OCR first, and the agent works on the resulting text. Accuracy depends on scan quality, so we measure it on a sample of your own documents before launch.

It depends on the documents and the fields. We don't quote a general figure: we build an evaluation set from your real documents, measure accuracy on it before launch, and send low-confidence items to a person.

OCR turns images into text, and traditional capture tools extract fields from fixed layouts. An LLM-based agent can handle varied layouts, understand requirements written in prose, compare them with your rules and draft the next document. It also needs evaluations and review steps, which we build in.

A pilot on one document workflow starts at $5,000 and usually takes 2–4 weeks. Production cost depends on the formats, volumes and integrations involved.

We use model providers' business API tiers, which do not train on your data by default, can redact personal data before it reaches a model, and can deploy the system in your own cloud account.