Traceable inputs. Analyst validation. Reproducible calculations.

Every material conclusion in a Briavix diagnostic should connect back to a source document, a validated field and a documented model assumption.

Inputs and data-quality hierarchy

  1. 01

    Source documents

    Invoices, contracts, AR aging, shipment and FX data as provided.


  2. 02

    Extracted fields

    Structured data pulled from those documents, field by field.


  3. 03

    Validated fields

    Critical fields confirmed by a human analyst before use.


  4. 04

    Model output

    Deterministic calculations run only on validated inputs.

AI-assisted extraction

Structured fields are extracted from source documents using AI-assisted tooling. Extraction proposes values — it does not finalise them. Every critical field is reviewed by a human analyst before it reaches the model: this is a tool in the workflow, not the product’s value on its own.

Human validation and QA

An analyst reviews extracted fields against source documents, resolves discrepancies, and flags anything that cannot be confirmed. Only validated fields feed the model.

Deterministic calculations and scenario logic

Margin-at-Risk and scenario figures are produced by a fixed, versioned calculation — not a generative or probabilistic output. The same validated inputs always produce the same result.

Confidence scoring

Each report states a confidence level reflecting data completeness and validation status — never hidden behind the headline number.

Traceability and model versioning

Source documentExtracted fieldAnalyst validationModel version

Every report states the model version it was generated with.

What the diagnostic does not claim to be

  • A regulated financial product recommendation or investment advice.
  • A legal opinion — contract review still requires legal counsel.
  • A credit rating in the sense of a regulated rating agency.
  • A guarantee of savings, protection or any financial outcome.

FAQ

The diagnostic proceeds with available data. Missing fields are flagged explicitly in the report, and the confidence level reflects the gap rather than masking it.

See the method applied to a real case.

Discuss your documents and what a diagnostic would show.

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