What teams decide with Payinference
One decision layer, eight jobs. Every solution below is the same mechanics pointed at a different payment problem. POST /v1/decision goes in, one executable instruction comes out, and outcomes are reported back.
Payment optimization
RoutingChoose the best action for every payment before it is sent. Routing, failover and fallback are decided per payment from live health, cost and policy signals.
Risk decisions
RiskTurn risk signals into one executable instruction. Step-up, hold or block is scored on safe payment context against your own thresholds, with reason codes on every decision.
Agent control
Agent guardrailsPut enforceable spend, scope and provider guardrails in front of agent-initiated payments. They are evaluated on every decision, before money moves.
Decision audit
AuditEvery payment decision is recorded with its inputs, matched rules, reason codes and policy version, so any instruction can be replayed and explained after the fact.
Provider intelligence
Provider healthA continuously refreshed, cached picture of the providers you already use. Health from probes and outcomes and expected cost per route are read by every decision.
Retry intelligence
RetriesDecide whether a failed payment is worth retrying and how. Same route, failover or stop is decided from retry policy and current provider health, not a fixed schedule.
Policy governance
GovernancePayment policy as an explicit, version-controlled artifact. It is written down, enforced identically on every decision, and keeps a record of which version decided what.
Outcome observability
EvidenceClose the loop between decisions and results. Outcomes are joined to the decisions that produced them, turning approvals, retries and failovers into inspectable evidence.
