Travel cancellation and rebooking
Assess disruption options and execute only traveler-approved itinerary changes.
What this workflow does
Assess disruption options and execute only traveler-approved itinerary changes. It validates identity and permissions, simulates the bounded action, and executes only the approved change with verification and rollback evidence.
What you gain
Confirmed traveler-approved itinerary or escalation
What the AI agent changes
How this worked before
API and RPA automations could repeat known clicks, but they were brittle when the interface or situation changed.
What the AI agent changes
The agent compares changing availability, fare rules, timing, and traveler preferences, then carries out only the option a person approves.
Agent trigger
A cancellation, delay, or traveler change request is received.
Inputs
- Process context: itinerary, fare rules, inventory, and traveler preferences
- Approved policies, ownership, and exception rules
Agent flow
- 1
Verify identity, entitlement, and the current policy version.
- 2
Simulate the requested action and calculate its bounded effects.
- 3
Prepare ranked compliant alternatives and total cost with side effects and rollback conditions.
- 4
Execute the approved action, verify the result, and log the change.
Human decisions
After step 3
The accountable process owner approves ranked compliant alternatives and total cost.
Outcome
- Confirmed traveler-approved itinerary or escalation
- Evidence, exceptions, and audit trail
Guardrails
- Block execution when identity, evidence, or rollback conditions are incomplete.
- Require fresh approval for irreversible or high-value actions.
Risks and mitigations
An incorrect or over-scoped action can change a material record.
Use least-privilege tools, dry runs, hard limits, and post-action verification.
Sources and evidence
Sources establish feasibility or impact. Not every metric comes from an identical implementation.