Document AI / Finance operations
Turn documents into controlled decisions.
Invoices and purchase orders become extracted fields, validation evidence, matched records, and explicit human-review queues.
Primary buyer: Finance, procurement, and operations teamsInteractive precomputed study
One invoice. Three validation states.
Switch the state to inspect how extraction confidence and business rules determine straight-through processing or human review. No visitor document is uploaded or processed in this public study.
Supplier, total, tax, and purchase order agree; the item is ready for downstream approval.
What the pilot must prove
- 01
Representative formats and edge cases are available with processing rights.
- 02
Field-level evaluation reflects the cost of each error type.
- 03
Business rules and review ownership are explicit and testable.
- 04
Sensitive documents remain in the agreed client or isolated environment.
Production system
- 01Secure intake and document classification
- 02OCR, layout, extraction, and provenance
- 03Business-rule validation and matching
- 04Human review, audit trail, and export
- 05Quality monitoring and retention controls
Service focus
Stop retyping invoices. Keep seeing the exceptions.
Extraction is the easy half. The half that matters is what happens when a field is unreadable, a total does not match, or a supplier changed their layout again. We build the classification, extraction, business-rule checks, and the review screen where a person resolves what the system flagged.
- Built for
- Finance, procurement, logistics, and operations teams
- Designed to achieve
- Less manual entry without hiding low-confidence exceptions
What you get
- Classification and field extraction with confidence scores
- Business-rule validation and three-way matching
- Human review screen for low-confidence fields
- Routing and export into your systems of record
FAQ
Questions before a pilot
These answers describe how we normally work. Only a signed agreement creates commitments. Website enquiry terms
01Our documents are inconsistent and half of them are scans. Is that a problem?
It is normal, and it is the actual work. Clean, uniform documents would not need us. What matters is whether the variation is bounded, because twenty supplier formats is a project and an unbounded long tail is a different conversation. We establish which one you have during discovery, on your own documents.
02Will it act on its own, or does a person stay in the loop?
A person stays in the loop wherever an error is expensive to reverse. We agree the approval points and confidence thresholds with you, and anything below the threshold goes to a review queue with the supporting evidence attached rather than being silently guessed.
03How do you stop it inventing answers?
By grounding it in your own sources and showing them. Every answer carries the passage it came from, so a reader can check it in one click, and the system is built to say it does not know rather than to fill the gap. That reduces invention rather than eliminating it, which is why the review queue and the citations exist.
Need a different system?
Not quite your solution?
Explore nearby systems or bring the outcome, workflow, and constraints that do not fit a predefined category. Tandemora can scope a custom solution around the real operating problem.
Measure the exception queue, not only extraction accuracy.
A useful pilot samples real formats, weights errors by operational cost, and proves how exceptions return to accountable people.
Design the pilot