Turn failed payments into
recovered revenue.
RecoverAI identifies failed transactions with high recovery probability, prioritizes the best opportunities with calibrated ML scoring, and protects customer trust through deterministic safety guardrails.
Population Opportunity & Test Verification
Authoritative financial figures verified across 10,000 canonical transactions and 2,000 held-out test evaluations
How RecoverAI Works
A closed-loop operations pipeline engineered for high-volume fintech reliability
Failure Telemetry
Listens to gateway failure signals (timeouts, authentication drops, network errors) and customer context in real-time.
ML Feature Engine
Evaluates 9 pre-recovery features in sub-milliseconds with a calibrated Logistic Regression model (ROC-AUC 0.7617).
Threshold Policy
Applies internal validation cutoff policies (0.50 recommended vs 0.70 conservative) with expected recovery value ranking.
Bounded Settlement
Dispatches idempotent recovery actions bounded to a strict 1-attempt ceiling, writing immutable events to the audit ledger.
Explainable Decision Intelligence
Trained strictly on 8,000 development records with zero data leakage. Validated on 2,000 held-out test transactions.
Deterministic Safety Guardrails
Every recovery action must satisfy 9 deterministic invariant checks before dispatch
Attempt Hard Ceiling
Strict limit of maxAttempts = 1 per transaction. Prevents customer retry fatigue and chargeback risks.
Idempotency Protection
Unique constraint on action keys prevents double-charge race conditions across parallel recovery threads.
Immutable Audit Ledger
Every decision, threshold evaluation, provider response, and outcome is permanently appended to the audit ledger.
Ready to recover payment revenue?
Explore the full interactive recovery workspace pre-loaded with 10,000 canonical transactions on PostgreSQL.