06 / DOCUMENT OPERATIONS

Document Review Lab

Extract labeled invoice text, surface missing fields and arithmetic errors, and require a named human review before approval.

Resumen en español

Revisión documental: encuentra errores y revisa los datos antes de aprobar. Las instrucciones y los controles de la demo están en inglés.

INTERACTIVE CASE STUDYSYNTHETIC DATANO LOGIN

Business context & 3-minute guided scenario

The business problem

Document automation must distinguish extraction from approval. Missing information or inconsistent totals must enter an exception workflow.

The design decision

Parse explicit labels, validate required data and purchase-order reference, check arithmetic and require a named reviewer.

Try this sequence

Load the inconsistent invoice and extract it. Approval is blocked.
Correct Total to 125000 and extract again. Review the resulting fields.
Confirm human review, enter a demo reviewer and approve. Export the decision trail.

Scope: Pasted synthetic text only. Deterministic parser, no OCR, document upload, AI API, payment authorization, persistent repository or production document management.

Ready. Open the guided scenario or explore the controls below.

DECISION EVIDENCE

Trace the outcome.

Demonstration boundary: Pasted synthetic text only. Deterministic parser, no OCR, document upload, AI API, payment authorization, persistent repository or production document management. Scenario state stays in memory and resets when the page reloads. Exports are downloaded locally. Use synthetic data only.

Discuss a pilot

Share your process, current systems, expected outcome and acceptance criteria. Discovery determines the scope, delivery responsibilities and production controls.

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