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AI OPERATIONS

Your team checks 20% of bookings. AI checks 100%. Every time.

Automated quality assurance that catches pricing errors, duplicate PNRs, ticketing mistakes, and policy violations before they hit your P&L.

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Trusted By Leading Travel Players

Flyday
Fursan
ITL
Jetpac
SITC
TripMakers
Blueberry Travel
Flyday
Fursan
ITL
Jetpac
SITC
TripMakers
Blueberry Travel
THE PROBLEM

Your team catches errors. Just
not all of them. And not in time.

Manual QA can audit only a fraction of bookings.
The rest go unchecked.

$60-180K+

avg. annual losses from booking errors (mid-market)

  • Wrong fare class applied - client overcharged, refund issued, margin gone.
  • Duplicate PNR created - two tickets issued for one trip, one goes unused.
  • Expired ticket not reissued - money sitting in a GDS queue nobody checks.

Costly Errors

$60-180K+

avg. annual losses from booking errors (mid-market)

  • Wrong fare class applied - client overcharged, refund issued, margin gone.
  • Duplicate PNR created - two tickets issued for one trip, one goes unused.
  • Expired ticket not reissued - money sitting in a GDS queue nobody checks.

ADM Risk

1 in 12

bookings carries an ADM risk from the airline

  • Agency Debit Memos hit when fare rules are violated at ticketing.
  • Most ADMs are preventable - wrong commission, fare conditions not met, ticket issued outside validity.
  • By the time the ADM arrives, the money is already gone.

Manual QA

20%

of bookings actually get reviewed by a human

  • Your QA team spot-checks what they can - usually the big-ticket itineraries.
  • The routine bookings? Nobody looks at them.
  • But routine bookings are where errors compound. 500 small mistakes cost more than 5 big ones.
HOW IT WORKS

Every booking gets four layers of automated QA.

Pre-Ticketing Validation

Catches errors before the ticket is issued. Every booking is scanned against fare rules, carrier policies, your internal policies, and passenger data before ticketing. Flags mismatches, missing data and rule violations. Blocks or routes for review.

Real example

Agent tickets London-Singapore, 21-day advance purchase fare but departure is in 14 days.

AI flags the violation before the ticket is issued. Agent corrects to the right fare class. ADM avoided.

WHAT AI QA CATCHES

The errors you know about.
And the ones you don't.

Wrong fare classExpired fare filedTax miscalculationMissing fuel surchargeIncorrect currency conversionContract rate not applied

Channel: Core fare integrity checks

Duplicate PNRUnticketed past deadlineTicket number mismatchVoid/reissue errorsSplit PNR issuesE-ticket coupon status

Channel: Issuance and ticket lifecycle checks

Out-of-policy cabinUnapproved supplierBudget exceededAdvance purchase violationMissing approvalPreferred supplier bypass

Channel: Policy and approval compliance checks

Schedule change unactionedMCT violationTicket expiry approachingVisa vs. travel datesPassport expiry alert

Channel: Deadline-driven operational checks

Unused ticket unclaimedRefund window closingADM risk detectedCommission discrepancyDuplicate paymentSupplier credit unprocessed

Channel: Leakage and loss prevention checks

Name mismatch vs passportMissing FF numberIncorrect DOBMissing APIS dataSpecial request unconfirmedMeal not acknowledged

Channel: Passenger profile and servicing checks

ACCESS AI OPS

Use our AI products.
Or enhance yours.

AI Ops handles the operational workload across every TravelSwitch AI product or plugs directly onto your own platform.

WhatsApp AI

Automated post-booking support, rebooking, schedule changes, and traveler queries handled inside the chat. No agent needed.

InspireMe AI

Package validation, pricing checks, and supplier availability confirmed automatically before anything reaches the traveler.

360 Trip AI

Real-time disruption handling mid-trip. Flight changes, rebookings and alerts triggered automatically.

JetBot (For Corporate Travel)

Policy compliance, approval routing, and out-of-policy flagging handled before the quote leaves the system.

Your Platform

Embed operational AI into your existing workflows. Automated QA, support triage, and exception handling across your booking stack.

IMPACT

When every booking is checked. Here’s what changes.

94%

Reduction in ticketing errors

72%

Fewer manual QA hours

+100%

Bookings checked automatically

91%

Fewer fare expired callbacks

+26%

Faster schedule-change resolution

+18%

CSAT from error-free bookings

USE CASES

Before vs. after AI QA.

TMCs

Before

QA team reviews 20% of bookings manually
ADMs arrive weeks later as a surprise
Duplicate PNRs discovered at invoicing

Leisure Agencies

Before

Packages have 3-5 supplier components
Each with different rules and deadlines
Mistakes compound across components

OTAs

Before

Thousands of bookings/day (manual QA impossible)
Errors discovered when customers complain
Cost = refund + lost trust

WITH AI QA
After

TMCs

  • Every booking checked automatically
  • ADM risks flagged pre-ticketing
  • Duplicates caught in real time. QA focuses on exceptions.
TMCs recommendation preview

What would 100% QA coverage do for your revenue?

See how AI Ops catches fare errors, policy violations and ticketing issues before they cost you. 30 minutes.

THE AI LAYER

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