Source-linked
Every extracted value retains page and bounding-box evidence
Governed workflow design
Documents and customs
Document AI
Document Intelligence
Commercial invoices, packing lists, certificates and transport documents arrive in different layouts. Re-keying separates data from its source and makes inconsistencies harder to resolve before filing. Ralixar keeps model assistance behind confidence gates and authorised review.
GOVERNANCE
Confidence-gated intelligence
Field-level confidence, document quality and cross-document consistency determine whether a value can be proposed or must enter review.
The problem
Disconnected evidence creates avoidable review work.
Commercial invoices, packing lists, certificates and transport documents arrive in different layouts. Re-keying separates data from its source and makes inconsistencies harder to resolve before filing.
Confidence-gated
Uncertain fields enter a validation queue
Governed workflow design
Cross-checked
Required fields and document totals run through rules
Governed workflow design
The AI under the hood
A named technique behind an explicit control boundary.
The model has a bounded job. It does not own the workflow or decide what a person must do.
Document AI
Technique in plain English
Layout-aware optical character recognition and document models identify document types, fields, tables and line items while retaining source coordinates.
Inputs
- Invoices, packing lists and purchase orders
- Bills of lading, airway bills and certificates
- Field definitions and document templates
- Confirmed corrections from authorised reviewers
Confidence gate
Field-level confidence, document quality and cross-document consistency determine whether a value can be proposed or must enter review.
Rules fallback
If extraction is unavailable or uncertain, the original document remains available and required fields are captured through the deterministic validation form.
What the human decides
An authorised operator confirms or corrects every value used for classification, declaration, payment or regulatory evidence.
Evidence and expected outcomes
Industry evidence, not invented product proof.
Each item states its source class and boundary. Ralixar is pre-launch; these figures do not claim customer outcomes.
Source evidence
WCO data guidance emphasises structured, reusable customs data; Ralixar applies that principle without claiming autonomous declaration.
WCO Data ModelOCR + review
NIST documents the need to evaluate AI systems in context, including validity and reliability.
NIST AI Risk Management FrameworkHuman control
The product design keeps uncertain extracted values in human review before statutory use.
Modules involved
One workflow across a shared shipment record.
Each module works on the same evidence, event and decision history.
Related solutions
Continue through the same operating record.
Customs Filing and Query Automation
Move confirmed document data into controlled filing work.
Document AI
Learn moreFreight Audit and Reconciliation
Read invoice lines before rate and event matching.
Document AI
Learn moreHS Classification
Use governed product attributes for classification review.
ML Prediction
Learn more