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Has the document classified by AI according to categories you define (for example "Invoice" / "Contract" / "Other"), and routes the flow to the matching branch — useful for applying different checks depending on the type of document received.

Ports​

  • Input (left, content type).
  • Dynamic outputs — one per route defined in the configuration, plus always a "Default" output used when the AI doesn't recognize any defined type.

Configuration​

  • Classifier — AI model (default): an LLM reads the document and names the type. Decision model: a decision model gives each route (and "none") a probability — faster and cheaper.
  • Classification AI model (AI model classifier) — optional, defaults to the organization's first active model.
  • Decision model and minimum score (Decision model classifier) — the most likely route wins, unless its probability is below the minimum score (in %): the document then takes the "Default" output. Empty = no threshold. The test panel's node details show each route's probability.
  • Routes — a list managed via an add/edit/delete modal, each route made up of a label and a description. The description directly guides classification: the more precise it is, the better the classification.

Refusing off-category documents​

A route can lead to a refusal rather than to checks: wire it (typically "Default") to an Error message, itself wired to the Error exit. A document that gets there ends the job with the "Rejected" status and your message, instead of a job finished with no annotation.