Fare and cap checks
Compare the final fare against user, trip, or team spend limits before booking.
Agentic travel payments
Make the booking agent prove the charge is safe.
Travel agents cross from recommendation into irreversible booking fast. Featherlane AI checks fare, refundability, passenger intent, and spend cap before the booking or change is allowed.
Failure modes
Travel failures become real charges.
- The agent books the cheapest fare without showing that it is non-refundable.
- A fare changes between recommendation and checkout.
- A retry double-books the same itinerary.
- A vague "change my flight" request triggers a paid change without confirmation.
Runtime check
Travel guardrails to enforce
Refundability holds
Escalate non-refundable or ambiguous itinerary changes for explicit approval.
Duplicate booking detection
Use session and workflow context to catch repeated checkout attempts.
Audit proof
A trace for disputed bookings
ok Original user intent
ok Fare and itinerary at decision time
ok Policy that allowed, blocked, or held the booking
ok Approver and reason for escalated changes
Questions
What teams ask before they wire it in.
Can this stop every travel charge?
It gates the actions routed through your app or SDK integration. It should be placed before the payment or booking call.
Does this slow the booking path?
The check is designed for the runtime path and returns a compact effect your app can apply immediately.
Ship the check
Put a effect between the agent and the action.
Bring a real checkout, refund, booking, or invoice flow. We will map the exact pre-action check and the audit record it should leave behind.