CONTROLLED SYNTHETIC DEMONSTRATION
AI ENGINE: ACTIVE
TRUST SDK: RUNNING

AI-Powered TRUST SDK for Cross-System Digital Payment Trust

Run a reusable AI-powered TRUST SDK assessment across simulated banking, mobile-money and FinTech ecosystems. Observe the SDK request, AI inference, trust/risk/confidence outputs, explainability, policy recommendation and audit evidence.

Institutional decision boundary

TRUST provides an advisory assessment and policy recommendation. It does not authorize, settle or block a production payment. The participating institution retains the final decision.

Live Assessment Flow

Ready to run a controlled assessment.
Monitoring overview →
INPUTSynthetic transaction
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 NORMALIZECanonical model
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 FEATURESContext evidence
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 AI TRUSTTrust / risk / confidence
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 EXPLAINReason codes
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 POLICYRecommendation
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 AUDITTrace & telemetry
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Compare Validated Scenarios

Compare how different evidence profiles affect trust, risk, confidence and recommendation.
InstitutionScenarioTransactionTrustRiskConfidenceRecommendation

Evidence & Governance

Evidence Chain

Each displayed outcome is assembled from Stage 06 feature/context output, Stage 07 AI trust assessment, Stage 08 explanation evidence and Stage 09 policy result.

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Demonstrator Boundary

Synthetic data only. Demonstrator qualification is not production certification. Production security accreditation, pilot integration and institutional acceptance remain contractual-stage activities.

Open contextual boundary page →
TRUST SDK EOI Demonstrator · BCP Investment Managers Ltd – Cibernetica Ltd Consortium · Project P-Z1-G00-018
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