AI that takes a goal, selects the tools it needs on its own, and carries multiple steps through. In document work it handles the execution stage: judging conditions from the extracted data and registering results in the system.

An automation design that connects classification, extraction, cross-document validation, judgment, approval, and system execution into a single flow. Keeping the functions separate leaves a person bridging each gap, so it is designed around whether one case reaches the end.

Comparing the same field across the several documents that make up one case to decide whether they agree. However accurate recognition is on a single page, work does not proceed when the representative's name or account number differs between documents, so review automation is completed at this step.

Determining which form an incoming file is and, when needed, splitting it into separate documents. In financial operations where several forms arrive merged into one PDF, this step becomes the bottleneck for the whole automation.

Separating a page into regions such as headings, body, tables, and headers, then deciding the reading order. Accuracy diverges on structures that confuse people too, like multi-column layouts and tables inside tables.

Moving a table into data while preserving its rows, columns, and merged cell structure. If you read the cell values but lose the structure, the link between an item and its amount breaks and the data cannot be used.

Analyzing the components of a document — headings, tables, lists, figures — along with their hierarchy, and turning them into data a machine can use. Extracting text alone discards the structure, so the quality of later retrieval and RAG is decided here.

Technology that picks out only the fields a business needs from a document and extracts them as key and value pairs. Where OCR answers what is written, KIE answers what that text means for the work.

Technology that converts characters in an image into text. Reading clean print and reading real business documents are different problems, and difficulty changes the moment handwriting, tables, and stamps appear on the same page.

A model that understands images and text together, interpreting not only characters but also the layout and context of a document. The gap opens up on merged cells, checkboxes, and low-quality faxes that rule-based OCR misses.