Case study · Order-to-Cash
Automated cancellation and refund for top US Airline
Global travel restrictions during the COVID-19 pandemic buried a leading American airline in cancellation, rescheduling and refund requests. Hyperautomation resolved thousands of hours of backlog in approximately six weeks — accurately — so customers were looked after despite the constraints.
6 wks
to clear the backlog
- Industry
- Airline
- Footprint
- United States
- Scale
- Thousands of hours of backlog
- Process area
- Order-to-Cash
- Agents
- Case ManagementDispute ManagementReconciliation (AR)
6 wks
to clear the backlog1000s
of hours of backlog resolvedAccurate
every refund validated to fare rulesSuperior
customer experience despite constraints01 · The situation
Thousands of hours of refund backlog cleared in about six weeks
Travel restrictions triggered an overload of flight cancellation, rescheduling and refund requests.
Customer service teams could not cope with the thousands of requests coming in, and accuracy suffered under the pressure.
Every delayed or incorrect refund was a customer-experience problem at the worst possible moment for the industry.
02 · What JiffyFinOps.ai did
Requests classified on arrival — cancellation, reschedule or refund — and matched to the booking and fare rules.
Eligible refunds calculated and processed end to end; exceptions routed with the evidence assembled.
Every action validated against fare rules and payment records, so the backlog was cleared correctly, not just quickly.
Refunds tied back to receipts and the ledger so finance could see the cash impact as it happened.
03 · The outcome
6 wks to clear the backlog
The backlog was cleared in roughly six weeks with accuracy intact, and the airline delivered a superior customer experience despite pandemic limitations.
04 · How it rolled out
Triage
Request types and fare rules mapped in days.
Automate
Eligible refunds processed end to end.
Clear
Backlog resolved in approximately six weeks.
Sustain
Ongoing requests handled as they arrive.
Deployment phases follow the published connect → configure → run model; headline outcomes are as published for this customer.
More proof
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cost reduction
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Read the case studyNext step
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