AI that advises. Humans authorize.
Recommendations are grounded in available transaction and operational data, then presented with supporting evidence, confidence and estimated impact. The intelligence layer does not autonomously move money.
Payment pattern analysis
Detect unusual volume, failure and settlement patterns in sandbox activity.
Provider & method signals
Surface provider or payment-method observations for operator review.
Settlement observations
Highlight pending concentrations and operational review thresholds.
Failure analysis
Group failure reasons and identify recurring operational signals.
Human approval workflow
Keep recommendation review separate from money-moving authorization.
Auditable recommendation history
Preserve recommendation state, evidence and review actions for traceability.
Review the current EUR → USD route
Illustrative intelligence can surface a route or operational observation, explain the evidence behind it and estimate impact before an operator decides what to do.
The public intelligence experience is pre-production. Recommendations are demonstrative and do not authorize or execute real-money transactions.
This separation is a core product boundary: intelligence can prepare and explain an action, while authorization remains an explicit control.