1. Page Purpose
High-level operational view of the reusable TRUST SDK, AI trust engine, explainability, policy, audit evidence, conformance and the three simulated payment ecosystems. The institution retains final transaction decision authority.
The purpose of this manual is to explain not only what appears on the Pan-African Trust Scoring Demonstrator page, but how the capability should be interpreted technically, operationally and evidentially by a Smart Africa evaluator. The page is part of a controlled synthetic demonstrator and should be read as implementation evidence rather than as a production certification statement.
2. Why This Capability Exists
The Overview exists to give an evaluator one controlled entry point into the entire demonstrator. It aggregates platform state, validated assessment evidence, ecosystem coverage and readiness indicators without pretending to replace the underlying technical pages.
A procurement evaluator should be able to begin here, understand what has actually been demonstrated, identify which capabilities are active, and then drill down into the evidence chain rather than being forced to discover the system through disconnected pages.
3. Where This Page Fits
The Overview sits above the operational pipeline. It does not perform scoring. It aggregates results produced by the SDK, AI, explainability, policy, audit and telemetry layers.
The page therefore acts as a supervisory lens: it summarizes system evidence while keeping the implementation boundaries of the underlying components intact.
4. Functional Responsibilities
- Reconcile the validated assessment count against the controlled evidence set.
- Present portfolio-level trust, confidence and critical-risk metrics.
- Expose operational status of AI Engine, TRUST SDK, Explainability and Policy.
- Summarize institution and scenario coverage.
- Provide evaluator navigation into technical, evidence and reporting pages.
- Show readiness without claiming production certification.
5. Inputs
- Validated demonstrator evidence appropriate to the capability.
- Page-specific runtime, integration, model, policy, telemetry or audit context.
- Versioned implementation metadata needed for reproducibility.
- Transaction, assessment or correlation identifiers where relevant.
- Explicit missing-value or unsupported-data indicators where evidence is incomplete.
6. Processing Logic
- Load only the controlled evidence required by the capability.
- Validate that the required source evidence is present and structurally usable.
- Transform the evidence into human-readable and machine-consistent outputs.
- Preserve identifiers, version information and provenance across the transformation.
- Expose failure or insufficiency explicitly rather than fabricating missing evidence.
- Hand the resulting output to the next governed stage.
7. Outputs
- Evaluator-facing interpretation of the capability.
- Status, metrics, evidence, explanations, reports or controls appropriate to the page.
- Version/provenance information where applicable.
- Contextual links into related TRUST SDK capabilities.
- A result that remains inside the defined institutional decision boundary.
8. Data & Evidence Interpretation
Validated Transactions is a count of evidence-backed demonstrator assessments, not transaction volume from a production bank.
Average Trust is an aggregate of transaction-level trust scores and should be interpreted only within the current controlled evidence set.
Average Confidence measures evidence sufficiency/coverage across the assessments; it should not be interpreted as fraud probability or transaction success probability.
Critical Risk is the number of current assessments whose model-derived risk category is CRITICAL. The policy recommendation remains a separate downstream artifact.
9. Technical Notes
- The implementation favors deterministic, version-aware processing so the same controlled evidence can be replayed and checked.
- The UI is intentionally evaluator-facing. It should expose enough technical depth to prove the architecture without requiring the evaluator to inspect raw implementation source code.
- Where a machine-readable JSON artifact exists, the UI presents its meaning in human-readable form while preserving a traceable link to the underlying evidence.
10. Failure Modes & Safe Failure
- Required evidence missing: the capability should report insufficiency or a controlled error rather than infer unsupported facts.
- Version mismatch: the request or result should be rejected, quarantined or clearly marked until compatibility is restored.
- Unsupported institution-specific value: the adapter or normalization layer should preserve the unsupported state rather than silently remap it.
- Downstream service unavailable: the current stage should fail safely and retain enough context for diagnosis.
- Conflicting evidence: the system should expose the inconsistency for review instead of hiding it.
11. Evaluator Verification Checklist
| Evaluator question | Expected evidence |
|---|
| Is the capability clearly bounded? | The page and manual should state what the component does and what it explicitly does not do. |
| Is source evidence visible? | The capability should identify or link to the evidence used to produce the displayed result. |
| Is version information available? | Model, SDK, policy, adapter or implementation version should be available where relevant. |
| Can the result be reconstructed? | Identifiers and upstream/downstream evidence should make replay or reconstruction possible. |
| Does the component fail safely? | Missing or unsupported evidence must not be converted into invented facts. |
| Is institutional authority preserved? | TRUST may advise, but final transaction authority remains with the institution. |
12. Evidence Sources
- interactive-assessments.json
- policy-results.json
- model-registry.json
- telemetry.json
- conformance-report.json
- Executive Demonstrator Report
- Transaction Assessment Reports
13. Governance & Decision Boundary
TRUST is an advisory assessment capability. It does not independently authorize, settle or block a payment.
The participating institution retains final transaction authority and remains responsible for institution-specific compliance, operational policy and production controls.
The demonstrator uses synthetic or controlled evidence and should not be described as production certification.
14. Example Evaluator Walkthrough
- Start from the page's principal status or result.
- Identify the transaction, assessment, component or evidence source behind that result.
- Follow the related contextual page to inspect the upstream evidence.
- Verify the component/version that generated the output.
- Follow the downstream path to explanation, policy, audit or report evidence as applicable.
- Confirm that the displayed recommendation remains advisory and that the institution remains the final decision maker.
15. Acceptance / Readiness Criteria
- The page loads successfully and exposes the intended capability.
- Displayed values reconcile with controlled evidence.
- Relevant version/provenance information is inspectable.
- Contextual navigation reaches upstream/downstream stages.
- Failure states are explicit and non-fabricating.
- Institutional decision authority is clearly preserved.
16. Related Page Sections / Continue Reading
- Evaluator orientation
- Platform Status
- Pan-African Demonstrator Coverage
- End-to-End TRUST Pipeline
- Risk Distribution
- Recommendation Distribution
- AI Intelligence Summary
- TRUST SDK Summary
- Governance & Evidence
- Latest Demonstration Transactions
- Evaluator Readiness
- What to Inspect Next
- Page purpose
- What this page contains
- How to use this page
- Key points to understand