TRUST SDK — Executive Demonstrator Report
Comprehensive evaluator-facing report with visual analytics, institution comparison, AI governance, explainability, policy and conformance.
Contents
1. Executive summary2. Scope3. Portfolio analytics4. Institution comparison5. Risk & policy6. Governed pipeline7. AI governance8. Explainability9. Conformance10. Transaction register11. Limitations1. Executive summary
This report consolidates the current TRUST SDK demonstrator evidence into an extensive evaluator-facing report covering reusable SDK integration, simulated banking/mobile-money/FinTech ecosystems, AI trust inference, explainability, advisory policy, auditability, conformance and platform evidence.
2. Demonstrator scope
Institutions
Bank A, FinTech C, Mobile Money B
3 simulated payment ecosystems.
Scenarios
High Velocity, Insufficient Metadata, New Device, Normal Transaction, Unusual Corridor
5 controlled scenario types.
Evidence basis
Assessment, policy, model registry, telemetry and conformance evidence.
3. Assessment portfolio analytics
4. Institution comparison
| Institution | Assessments | Avg trust | Avg confidence | Critical |
|---|---|---|---|---|
| Bank A | 5 | 72.4 | 94.2% | 1 |
| FinTech C | 5 | 65.7 | 94.2% | 1 |
| Mobile Money B | 5 | 72.4 | 94.2% | 1 |
5. Risk and policy analytics
Policy is deliberately separated from the AI model so the evaluator can distinguish analytical inference from operational interpretation.
6. Governed assessment pipeline
7. AI model governance
Model registry evidence
{
"generated_at": "2026-09-15T14:54:10.439721+00:00",
"governance": {
"evidence_required_for_promotion": true,
"institution_retains_final_decision": true,
"model_changes_require_version_increment": true
},
"models": [
{
"explainability_required": true,
"lifecycle_state": "ACTIVE_DEMO",
"model_id": "TRUST-BASELINE",
"model_version": "TRUST-BASELINE-0.1.0",
"policy_decision_embedded_in_model": false,
"production_approved": false,
"status": "DEMONSTRATOR_ONLY"
}
],
"stage": "13"
}8. Explainability and evidence
Explanations should remain tied to actual model-applied evidence and should not invent unsupported reasons after scoring.
9. Conformance and qualification
{
"generated_at": "2026-09-15T14:54:10.440149+00:00",
"qualification": "PASS",
"stage": "15",
"tests": {
"all_policy_results_non_authorizing": true,
"all_results_preserve_final_institution_decision": true,
"audit_records_15": true,
"reason_codes_present": true,
"stage08_outputs_15": true,
"stage09_outputs_15": true
}
}10. Transaction register
| Transaction | Institution | Scenario | Trust | Risk probability | Risk | Confidence | Recommendation |
|---|---|---|---|---|---|---|---|
| BANKA-HIGH_VELOCITY-003 | Bank A | High Velocity | 81.8 | 18.24% | LOW | 100.00% | APPROVE |
| BANKA-INSUFFICIENT_METADATA-005 | Bank A | Insufficient Metadata | 24.1 | 75.95% | CRITICAL | 71.25% | REJECT |
| BANKA-NEW_DEVICE-002 | Bank A | New Device | 78.6 | 21.42% | LOW | 100.00% | APPROVE |
| BANKA-NORMAL-001 | Bank A | Normal Transaction | 96.8 | 3.23% | LOW | 100.00% | APPROVE |
| BANKA-UNUSUAL_CORRIDOR-004 | Bank A | Unusual Corridor | 81.0 | 19.00% | LOW | 100.00% | APPROVE |
| FINC-HIGH_VELOCITY-003 | FinTech C | High Velocity | 81.8 | 18.24% | LOW | 100.00% | APPROVE |
| FINC-INSUFFICIENT_METADATA-005 | FinTech C | Insufficient Metadata | 24.1 | 75.95% | CRITICAL | 71.25% | REJECT |
| FINC-NEW_DEVICE-002 | FinTech C | New Device | 78.6 | 21.42% | LOW | 100.00% | APPROVE |
| FINC-NORMAL-001 | FinTech C | Normal Transaction | 96.8 | 3.23% | LOW | 100.00% | APPROVE |
| FINC-UNUSUAL_CORRIDOR-004 | FinTech C | Unusual Corridor | 47.5 | 52.50% | HIGH | 100.00% | STEP_UP_AUTHENTICATION |
| MNOB-HIGH_VELOCITY-003 | Mobile Money B | High Velocity | 81.8 | 18.24% | LOW | 100.00% | APPROVE |
| MNOB-INSUFFICIENT_METADATA-005 | Mobile Money B | Insufficient Metadata | 24.1 | 75.95% | CRITICAL | 71.25% | REJECT |
| MNOB-NEW_DEVICE-002 | Mobile Money B | New Device | 78.6 | 21.42% | LOW | 100.00% | APPROVE |
| MNOB-NORMAL-001 | Mobile Money B | Normal Transaction | 96.8 | 3.23% | LOW | 100.00% | APPROVE |
| MNOB-UNUSUAL_CORRIDOR-004 | Mobile Money B | Unusual Corridor | 81.0 | 19.00% | LOW | 100.00% | APPROVE |
11. Demonstrator limitations
- Evidence is synthetic or otherwise controlled for demonstration.
- Charts describe the available demonstrator evidence set, not market-wide statistics.
- The AI model is a demonstrator baseline and not a production-performance certification.
- Policy output remains advisory.
- Production deployment requires institution-specific security, calibration, governance, monitoring and regulatory controls.