Agentic document AI

Document AI agents for back-office work.

Use agents to classify incoming documents, extract the right schema, validate fields, trigger reviews, and hand off clean records through webhooks.

Agents are useful when documents become work

A document AI agent should do more than parse a page. It should decide which workflow applies, ask for missing files, validate fields, route exceptions, notify the right team, and leave a trace of every action.

Inbox intake

Watch an inbox or portal queue, classify new files, split packets, and attach documents to the right account, claim, vendor, or case.

Validation and approval

Compare extracted values against rules, previous documents, thresholds, or system-of-record data before approving a clean case.

Notifications and webhooks

Send exception notifications, missing-file requests, review tasks, and webhook payloads when a document reaches a trusted state.

Example workflows

In AP, an agent can extract an invoice, match it to a purchase order, flag a quantity variance, notify a reviewer, and export only approved fields. In claims, it can classify a packet, find missing evidence, route suspicious documents to review, and send a webhook when the claim is ready for adjudication.

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