Built for Operations, finance and shared-service leaders drowning in manual document handling, where accuracy and an audit trail both matter.
Documents are classified by type and routed, with low-confidence cases sent to a human queue rather than guessed at.
Fields are extracted with a confidence score per value and grounded to the exact region of the source document.
Business rules and cross-checks catch impossible values before they reach a system of record.
Validated data posts to your systems with a full lineage record from source page to final field.
Indicative ranges drawn from comparable engagements, measured against a pre-AI baseline. Your figures are set and tracked from your own data during delivery.
Every engagement hands over working software in your repositories, with the evidence to run and audit it.
Low-confidence classifications and field values are routed to a human review queue rather than guessed. The confidence threshold is a tuned, owned parameter, not a hidden default, so you control the trade-off between automation and review.
Yes. Every extracted value is grounded to the exact region of the source document and carries a lineage record from source page to posted field. This is the difference between a tool that demos well and one that survives an audit.