AI-POWERED TRUST ASSESSMENT
AI Trust Engine
The TRUST AI engine converts structured payment-context evidence into a governed assessment comprising risk probability, trust score, risk category and confidence. Explainability is mandatory and payment authorization remains outside the AI model.
AI Engine: ACTIVE
Explainability: REQUIRED
Production authorization: DISABLED
Model
TRUST-BASELINE-0.1.0
Controlled demonstrator model.
Lifecycle
DEMONSTRATOR ONLY
Not represented as production-approved.
Governance
VERSIONED
Changes require explicit version progression and supporting evidence.
AI Assessment Lifecycle
EvidenceStage 06 context
Feature VectorApplied indicators
AI ModelVersioned inference
RiskProbability/category
TrustTrust score
ConfidenceEvidence coverage
ExplainabilityReason codes
What the AI Produces
| Risk probability | Numeric model estimate used by the demonstrator baseline. |
| Trust score | Human-readable trust representation derived from modeled risk. |
| Risk category | LOW, MEDIUM, HIGH or CRITICAL according to controlled thresholds. |
| Confidence | Indicates evidence completeness and feature coverage. |
What the AI Does Not Do
The model does not independently authorize, settle or reject a real payment. It supplies a governed analytical assessment. Policy is separate, and the participating institution retains final decision authority.
AI Scenario Behavior
| Institution | Scenario | Trust | Risk | Confidence | Recommendation |
|---|
Visual AI Inference Flow
This graphic shows how the demonstrator transforms feature/context evidence into governed AI outputs: risk, trust and confidence.
The AI Trust Engine is presented as an analytical assessment layer. It produces model outputs, not transaction authorization decisions.