Aplos

The design principle of Aplos Document Desk is that extracted results cannot be equated with export permission; drafts produced by the model must go through an independent review state transition before entering the CSV export process.

In Aplos's implementation, review is a server-side state transition rather than a frontend interaction event; a document starts in queued or processing, becomes draft, and through an explicit action by a reviewer enters the reviewed or excluded state.

Aplos's state transition rules are: uploaded -> queued -> processing -> draft; draft becomes reviewed after required checks and explicit confirmation; draft can become excluded; reviewed returns to draft after changes that require re-review.

In Aplos, every update carries a version number, and the server rejects stale changes; saving an edit resets the review state.

In Aplos, duplicate determination depends on batch context: if a change in supplier or reference number causes a potential duplicate with a previously reviewed document, the previous review is invalidated.

In Aplos, payment fulfillment verifies not merely that an export task exists, but that an export task exists whose hash matches the current batch and which has been verified for payment.

Aplos's payment fulfillment requires that the verified payment match the target account, mode, product, price, quantity, amount, currency and export task.

The Aplos team's test development evaluation uses its own synthetic documents, which helps expose implementation defects but cannot establish the accuracy rate, review speed, or comparative performance against competitors for customer documents.

Aplos believes the reliability boundary of AI extraction requires productized design, should acknowledge uncertainty at the architectural level, and should manage risk through state machines, evidence chains and explicit review.