Model governance
Bounded, versioned, reviewable.
- No statistical model is in the decision path
- The current engine is a deterministic rule set. There is no trained scorecard, no machine-learning classifier and no language model in the decision path. Nothing infers a borrower figure that was not supplied.
- Versioning
- Every run records the policy version and the engine version that produced it. Active: policy aeax-policy-2026.08.1, engine aeax-engine-1.2.0. Changing a threshold requires a new policy version; historical runs keep their original version.
- Reproducibility
- Runs store an input fingerprint computed from the normalized inputs and both versions. Re-running the same file under the same policy must produce the same fingerprint and the same outcome; a mismatch is a defect.
- Data provenance
- Each run is labelled by source type: live public data, borrower-entered application, or synthetic fixture. These categories are never blended, and synthetic fixtures carry no real identifiers.
- Data completeness and the shadow rule
- If any required credit-file input is absent, the run is labelled a shadow decision, the missing fields are listed explicitly, and the outcome is forced to human review. An incomplete file can never be auto-approved or auto-declined.
- Human override boundary
- Staff reviewers can move a file through the workflow and record notes. Those actions are written to an append-only event trail with the actor and timestamp. Reviewers do not silently rewrite a prior decision run.
- Weight provenance
- Sector and geography adjustments are configurable demo policy weights chosen for demonstration. They are not derived from any portfolio performance data, and we do not represent them as such.
- Where AI may be added later
- Document intake and field extraction are candidate areas for AI assistance, with extracted values shown for confirmation and marked as extracted in the audit record. Policy execution itself stays deterministic.
- Fair-lending posture
- The engine consumes cash-flow, trading history, credit-file quality, sector and country. It does not consume protected characteristics. As a prototype it has not undergone disparate-impact testing; that testing is required before any production use.
