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Inourview,earlygenerationsof
AImachinelearningandgenerativewereveryusefultechnologybreakthroughs,buttheemergenceofagentic
capabilitiesrepresentsanunprecedentedopportunityforairlines.FromexecutingcommercialstrategiestosupportingdecisionsinanOperationalControlCentre(OCC),AIprovidesvariedcognitivecapacity.
Itmonitorstheenvironment,generatesrecommendations,and,crucially,
takesaction.Itoperatescontinuously;24hoursaday,inrealtime.An
AIagentwearetestingtodaywillhandleapassengercalltochange
aticketinaninstant.Unlikeearlyautomationattempts,thisisnotafragmentedexperience.
The
AIlocatesthebooking,understandsthe
request(irrespectiveoflanguage),proposesoptions,processesthe
rebooking,andinitiatespayment.Thisexampleisonlythebeginning
Weexpectagentic
AItoimprove
almosteveryairlineworkflow;fromnetworkplanningtodistribution.Agentic
AIarrivesatamomentwhenairlinesarealreadytransformingwithnewsystemsforOffer,Order,SettleandDeliver.AtAmadeuswere
buildingourportfolioofmodularretailingsolutions(AmadeusNevio)with
agentic
AInativelyembedded.Insomemodules,
AIwillsitbelowtheAPIsratherthanontopofthemmeaningitisclosertothedataand
businesslogicitneedstoprovidevalue.AIcanalsoaugmentourcurrentapplications,addingnewcapabilities.
Itwillhelpairlinestoextractmorevaluefromtheirsoftware,fasterandwithlesseffort.So,inparallelwithmakingearlystandaloneuse
casesliketheonementionedaboveavailabletoairlinesnow,wereworkingonaugmentingandreinforcingthefull
Amadeus
portfoliowith
AI,andwebelievethiswillbringevenmorevalueto
ourcustomers.Perhapsthemostexcitingdevelopmentistheabilityforagenticsystems
toconnectpreviouslysiloeddomainswithinandoutsideanairline.
Teams
of
AIagentsarebeginningtocommunicateandcollaborate,whichwillhelpairlinesovercomelongstandingchallengesarounddataintegration,
teamcoordination,decisionoptimization,andprocessalignment.Yetdisruptivetechnologiescanbeintimidating.
Theychallengeestablishedwaysofworkingandrequirestrongexecutivesponsorship,cross-functionalcollaboration,effectivechangemanagement,strong
governance,andaboveall,agenuinewillingnesstoexperiment.At
Amadeus,weareworkingcloselywithairlinesandtrustedpartnerssuchasMicrosofttounderstandhowwell-governedandcleverlyused
AIcandeliverrealvaluetotheindustry.
Alongsidedevelopingourown
agentic
AIsolutionsandintegratingthemintoourexistingportfolio,wereengagingwiththemain
AIplatformstoexplorehowwecanhelp
airlinescapturemorerevenue,streamlineoperationsandenhancethe
travelerexperience.Likeothermajortechnologychanges(e-Commerce,
NDC,cloudandOOSD)Amadeusis=nhasalltheanswers,collectivecollaborationwillbekeytounlockingthefullpotentialofthispowerful
newcapability.SincetheintroductionofChatGPTin2022,theworldhasbeencaptivatedby
ArtificialIntelligence(AI).Opinionsremaindividedonwhetherit
representsatruerevolutionorsimplythenextstageoftechnologicalevolution.Whitepaper:Airlinesintheagenticage
Amadeus.It’showtravelworkssmarter.1usecasesandideasforgettingstartedwith
AIAmadeus.It’show
travel
works
smarter.AirlinesintheagenticageAmadeusInsightsAgentic
AIwhitepaper
2026AirlinesAgentic
commerce:why
AI
will
transform
trip
planning
10Agentic
commerce:airline
direct
touchpoints
12Agentic
commerce:distribution
via
AI
assistants
13Why
agentic
AI
matters
07Governing
AI
agents
24Conclusion
30Connecting
the
dots
between
departments
with
multi-agent
systems
23Operations:breakingdownthesilos21Customerexperience:beyondrulesandsegmentation15Commercial,revenue
and
marketing:faster
time-to-market
through
automation
18Foreword
03Five
recommendations
for
successfully
adopting
agentic
AI
27Executive
summary
05IndexInmyview,earlygenerationsof
AI—machinelearningandgenerative—
wereveryusefultechnologybreakthroughs,buttheemergenceofagentic
capabilitiesrepresentsanunprecedentedopportunityforairlines.An
AIagentwearetestingtodaywillhandleapassengercalltochange
aticketinaninstant.Unlikeearlyautomationattempts,thisisnotafragmentedexperience.
The
AIlocatesthebooking,understandsthe
request(irrespectiveoflanguage),proposesoptions,processesthe
rebooking,andinitiatespayment.Thisexampleisonlythebeginning.WeexpectagenticAItoimprove
almosteveryairlineworkflow,fromnetworkplanningtodistribution.Agentic
AIarrivesatamomentwhenairlinesarealreadytransformingwithnewsystemsforOffer,Order,SettlementandDelivery.AtAmadeus,
we’rebuildingournextgenerationcoreairlinesystems(AmadeusNevio
andNavitaireStratos)withagentic
AInativelyembedded.Insomemodules,
AIwillsitbelowthe
APIsratherthanontopofthem–meaning
itisclosertothedataandabletopowerthebusinesslogicofrelevantapplications.AIcanalsoaugmentourcurrentapplications,addingnewcapabilities.Itwillhelpairlinestoextractmorevaluefromtheirsoftware,faster,and
withlesseffort.So,inparallelwithmakingearlystandaloneusecaseslikethecallcenteragenttoairlinesnow,we’reworkingonaugmentingandreinforcingthefull
Amadeusportfoliowith
AI,andwebelievethiswill
bringevenmorevaluetoourcustomers.At
Amadeus,weareworkingcloselywithairlinesandtrustedpartners
suchasMicrosofttounderstandhowwell-governedandcleverlyused
AIcandeliverrealvaluetotheindustry.
Alongsidedevelopingourownagentic
AIsolutionsandintegratingthemintoourexistingportfolio,we’reengagingwiththemain
AIplatformstoexplorehowwecanhelp
airlinescapturemorerevenue,streamlineoperationsandenhancethe
travelerexperience.Likeothermajortechnologychanges(digital,NDC1,
cloudandOOSD2),
Amadeusisinvestingtoidentifythebestwaystobringbenefitsforairlinesandtravelers.Thisnewwaveof
AIwillhelpusprogressinboundstowardsthegoalofasmoothandconnectedjourney,since
AIallowstravelerstosearch
foranentiretripratherthanaflight,thenacar,andfinallyahotel.Onthe
flipside,thisheightenstravelerexpectationsandincreasestheurgency
forthetravelindustrytocollaborateandprovidethatseamlessend-to-
endexperience.Ihopethisreportprovidespracticalinsightsandencouragesyoutoengageintheopportunitiescreatedby
AI.Whilenosingleorganization
hasalltheanswers,collectivecollaborationwillbekeytounlockingthefullpotentialofthispowerfulnewcapability.ForewordSince
the
introduction
of
ChatGPT
in
2022,
the
world
has
been
captivated
by
Artificial
Intelligence(AI).Whitepaper:Airlinesintheagenticage
Amadeus.It’showtravelworkssmarter.
3Cyril
TetazEVP
AirlineSolutions,
AmadeusFromexecutingcommercialstrategiestosupportingdecisionsinanOperationalControl
Centre(OCC),
AIprovidesvariedcognitivecapacity.Itmonitorstheenvironment,generatesrecommendations,and,crucially,takesaction.Itoperatescontinuously;24hoursaday,inrealtime.AtMicrosoft,weareworkingwithairlines,airports,and
partnerslike
Amadeustobringthebenefitsofagentic
AItotravel.Perhapsthemostexcitingdevelopmentistheabilityforagenticsystemstoconnectpreviouslysiloeddomainswithinandoutsideanairline.
TeamsofAIagentsarebeginning
tocommunicateandcollaborate,whichwillhelpairlinesovercomelongstandingchallengesarounddataintegration,teamcoordination,decisionoptimization,and
processalignment.Yetdisruptivetechnologiescanbeintimidating.
Theychallengeestablishedwaysofworkingandrequirestrongexecutivesponsorship,cross-functionalcollaboration,effectivechangemanagement,stronggovernance,andaboveall,agenuinewillingness
toexperiment.Ifyou’rekeentoexploretheseconcepts,IencourageyoutoengagewithMicrosoft
and
Amadeusaswecollaboratewiththeindustrytoaccelerate
AIadoption.Julie
ShainockGlobalMDforTravel,Transport&Logistics,Microsoft1
NewDistributionCapability(NDC)isanXMLdatatransmissionstandardforairlinedistribution2
Offer,Order,Settle,Deliver(OOSD)referstostandardsandtechnologyforairlineretailingWhitepaper:Airlinesintheagenticage
Amadeus.It’showtravelworkssmarter.
4AgenticAIis
emerging
as
a
transformative
forcein
the
airlineindustry,
drivenbyrapidconsumer
adoption
and
increasing
pressure
on
airlines
to
manage
costs
and
offertravelers
the
efficient
anduser-friendly
self-service
options
they
expect
today.Unlikeearlierversionsof
AI,agentic
AIcanunderstandtravelerintentthroughconversationalinteractions,respondingwithhighlypersonalizedoffersandservices.Bycombiningmulti-sourcedatamonitoringandextractionwithadvancedreasoning
andautonomousaction,itcompressesworkflows—fromweekstominutes—while
enablingfasterdecision-making,reducingmanualeffort,andcreatingnewcross-functionalopportunities.Airlinescandeployagentic
AIintwoprimaryways:enhancingtravelerexperiencesand
optimizinginternaloperations.Fortravelers,itenablespersonalizedtripplanning—withnaturallanguagesearchandbooking—complementedbyreal-timepost-bookingassistance,forexampleindisruptionscenarios.Internally,itempowersteamsbyautomating
workflows,sharpeningcommercialstrategies,andsupportingmoreinformed,data-driven
operationaldecisions.Agentic
AIdoesnotreplacecoreairlinesystems(suchasOrderManagement,Payment,or
PassengerServiceSystems).Butitdoesaugmentthemconsiderably,byleveragingtheir
dataandbusinesslogicandorchestratingactions.However,giventheprobabilisticnatureof
AImodels,deepintegrationwithreliablesystemsofrecord,suchas
Amadeus,alongside
arobustsecurityandcomplianceframeworkgoverningnot
justdataaccess,buttheintegrityofautonomousdecisionsthemselvesisessentialtoensuretrust,andintegrity.Whilegenerative
AIhadabigimpactontravel’sinspirationstage,agenticcommerceissettoreshapethenextstagesoftripplanningbyenablingconversational,intent-driveninteractionsthatoutperformtraditionalinterfaces.
Althoughthisisallstillevolving,emerging
protocolsaimtostandardizehow
AIagentscommunicate,transact,andcompletebookings.
Nowisthetimeforairlinestoexploreandengagewith
AIdistributionchannelstomaintain
reach,capturehigh-convertingtraffic,andsecurefirst-moveradvantage.Whitepaper:Airlinesintheagenticage
Amadeus.It’showtravelworkssmarter.
5Executivesummary•
Froma
customer
experienceperspective,agentic
AIovercomeslongstandingairline
challengessuchasfragmentedcustomerdata.Bysynthesizingdataacrosssystems,
AIcreatesaunifiedcustomerviewandindividualizesoffers,servicingandjourneyorchestration.Oncedeployedbyairlines,reinforcementlearningwillfurtherenhance
outcomesbycontinuouslylearningfromreal-timeperformance;optimizingoffersand
interactionsovertime.•
Commercially,
AIautomatesrevenuemanagementinsights,andthereforestrategy
development,andmarketingexecution.Itenablesrapidexperimentation,real-timeoptimization,andend-to-endcampaignautomation,significantlyincreasingagility
andreturnonmarketinginvestment.•
Operationally,agentic
AIintroducesproactive,multi-agentsystemsthatmonitorperformance,simulatescenarios,recommendandevenexecutedecisionsacross
domainssuchasdisruptions,turnaround,andcapacityplanning.
Thesesystemsimproveefficiency,reducecosts,andenablebettercoordinationacrosstraditionallysiloedfunctions.However,theadoptionofagenticAIintroducesrisks,includinghallucinations,bias,
anddatasecurityconcerns.Effectiveimplementationrequiresrobustgovernance
frameworks,combiningdeterministiccontrolswithhumanoversighttoensurecompliance,accuracy,andaccountability.Tosuccessfullyadoptagentic
AI,airlinesshouldstartnow,withtargetedusecases
thatmakesensefortheirbusiness.Butevenmoreimportantlyandpractically,they
shouldmakesuretheirdataisreadyandfitforusebyAIagents,ensuresystemcompatibility,establishgovernanceframeworks,andstartwithinternaleducation
andchangemanagement.Essentially,agentic
AIrepresentsaonce-in-a-generationshift,comparabletothearrivaloftheinternet.
Airlinesthatsuccessfullyembed
AIintotheirsystems,data,andprocesses—underpinnedbystronggovernance—willgainadecisivecompetitive
edge,deliveringsuperiorcustomerexperiences,increasedoperationalefficiency,and
acceleratedrevenuegrowth.Whitepaper:Airlinesintheagenticage
Amadeus.It’showtravelworkssmarter.
6“2026
will
be
a
defining
year
for
agenticAI
in
aviation.Over
thenext18months,most
airlines
willmove
fromexploration
to
real-world
deployment—embeddingagents
across
the
traveler
journey
and
core
operations.”JulieShainockGlobalMDforTravel,Transport&Logistics,MicrosoftAI
in
travel
isn’t
newNew
AmadeusresearchconductedinMarch2026
with1,000
travelersshowsthat
AIisalreadymainstreamintravel.With
nearly
8
in
10
travelers
using
AI
for
trip
planningThestudyshowsthatusetodayismainlyassistive,withonly6%relyingonAItohandle
‘most’oftheirtravelplanning.Theresearchhighlightstopconcernsas:•
Privacyanddata(35%)•
Accuracyandreliability(34%)•
Preferenceforcontrolandhumaninvolvement(27%)Withmostairlinemanagementteamsfocusedonincreasingrevenue,improvingefficiency,
andofferingabetterexperienceforpassengers,agentic
AIcanunlocksignificantgainsin
allthreeareas.Whitepaper:Airlinesintheagenticage
Amadeus.It’showtravelworkssmarter.
7Why
agentic
AI
mattersAIunderstandsatraveler’sintentmoredeeplythanpreviousgenerationsoftechnology.
Airlinescanharnessthisto:•
Createmoreattractiveofferstoincreaseconversion•
Providemorepersonalizedservicetoincreaseloyalty•
EnhancethecustomerexperienceateverystageofthejourneyBymonitoring,reasoning,recommendingandacting,
AIcollapsestraditionalworkflows
allowingtasksthattookweekstobecompletedinminutes.
Thishelpsairlinesto:•
Takebetterandfasterdecisions•
Reducemanualworkthroughautomation•
IdentifynewopportunitiesacrossdepartmentsJustinBundick,
VPAI
&
IntelligencePlatforms,Southwest
Airlines,viewsagentic
AIastransformative:“Today,
AI
agentscanexecute
predictable
processesand,inthefuture,
Ithinkthey’llevolvetobecometruedigitalco-workersthathelpusexpandbusinessvalue
streamswithbothhumananddigitalcapital.”Jóhann
ValurSævarsson,Director,Enterprise
Architecture,Icelandair,explainsthattheairlineisgraduallyadoptingagentic
AI:“Today,wehaveahandfulof
agentshandling
discreetworkflowsandmanyof
themaresuccessful.Wehaven’t
yetbuiltmulti-agentsystemsor
solvedtheorchestrationissue,butwecanalready
seethatagent-to-agent
co-operationisthefuture.”AI
augments
an
airline’s
existing
systemsIt’simportanttopauseandappreciatehow
AIwillinteroperatewithexistingsystems.AIwillnotreplaceexistingairlinetechnology.
An
AImodelwillnotstorethetraveler’sorder.
Itwillnotprocesstheunderlyingpayment.Itcantriggerthesetransactions,butitneeds
toworkwiththesystemsthatundertaketheseactionstodosoandtoprovidea
viewofthestateofeachtransaction.Airlinescanaccess
thesebenefitsbyapplying
AIin
two
ways:•
Fortravelers,AIdeliversaconsistentandpersonalizedexperienceacrossevery
touchpoint,frominspirationtobookingandbeyond,intocomplexservicingand
disruptionscenarios.•
Forairlines,
Agentic
AIexecutesworkflowsautonomouslyandhelpsteamsmake
smarterandfasterdecisionsthatimprovecommercialperformance,streamline
operationsandsimplifytraditionalworkflows.Whitepaper:Airlinesintheagenticage
Amadeus.It’showtravelworkssmarter.
8TruevalueisachievedwhenAIinterrogatesanairline’sexistingsystemstoorchestrate
keyprocesses,somethingthatcanbeverytime-consumingandalmostimpossiblefor
humanstodoinorganizationswithsiloedoperations.ConsideranairlineAIchatinterfacehelpingatraveleraddanancillaryservice.Weneed
ittohaveaccesstotheairline’sCustomerRelationshipManagement,loyaltyandproduct
catalogdata,soitrecommendstherightancillary.Italsoneedstotriggerthepayment,
perhapsbyinitiatingacard-on-filepaymentoraddingapaymentlinktothechat.Once
paymentismade,thetraveler’srecordneedstobeupdatedintheOrderManagementSystem(OMS)orPassengerServiceSystem(PSS).The
AIagentneedsaccesstodatasoitcanpersonalizetheofferandconnectivitytotheairline’ssystemofrecord(OMSorPSS)andpaymentsystem,soitcaninitiatethese
transactions.
That’swhymuchoftheworkforairlinesrelatestoreadyingexistingsystemstointerfacewith
AIagents.“AIwillsitontopofanairline’sexistingtechnology
core,and
success
willultimatelyhingeon
howwellthesetwoworldsareintegratedandoperatetogether”,
explains
Alexandre
Sbragia.“AI
is
not
a
complete
solution.Because
of
its
inherentlyprobabilistic
nature,
AI
cannot
on
its
own
provide
the
levelof
predictability,
trust,
and
precision
that
airlines
require
tooperate
their
core
processes.
Its
effectiveness—and
truepower—depend
on
tightintegration
with
trusted
systemsof
record
and
high-quality
data.”AlexandreSbragiaSVPEngineering,AirlineSolutions,AmadeusWhitepaper:Airlinesintheagenticage
Amadeus.It’showtravelworkssmarter.
9Naturallanguage
searchToday,tripplanninglargelyreliesonstructuredformscenteredaroundoriginanddestination
inputs.Weprovidethisinformationsometimeswithanindicationofourbudgetandreceiveoptions.Fromthere,wefilterthelist,perhapsbasedonouridealdepartureairport,
hotelfacilities,ortimings.Byenteringanaturaltwo-wayconversation,
AIagentsfliptoday’ssearchexperiencebyprovidingadetailedlistofrequirementsfromtheoutset.Unlikeaclassicsearchthatreturnsalonglistofflightswithlittlecontext,
AIassistantscansurfacericherinformation
fromthestart:seatconfigurations,ancillaryservices,andbundleoptions,givingtravelers
afarmorecompletepicturebeforetheyeverclickthrough.Thismeansmanytravelerswillperceivethenaturallanguagesearchexperienceassuperiortotheform-basedinterfacethetravelindustryhastraditionallyreliedupon.
This
isanotherreason
Amadeusexpectsagrowingnumberoftravelerstoplantripsusing
AI.GaëlleBristiel,SVPEngineering,Distribution&
AIDeliveryLead,
Amadeus,
shares:
“Alotofworkneedstohappenonsearchattheindustry
level,
sowecan
maximizethe
potentialof
agenticinspiration.
Amadeusisworkingtoseizethisopportunityforourcustomersandthewiderindustry:toconnectthetravelecosystemto
AI
assistants
at
scale.”Theonlywaytotrulyunderstandatraveler’sintentisthroughdirect,real-timeconversation.
Airline-owned
AIagentsand
AIassistantslikeMicrosoftCopilotdothis,so
theycandeeplyunderstandthetraveler’sintentduringtripplanning.
Thismeans
AIcan
helptoassembleatripthatbestmatchesthetraveler’sneeds.
However,enablingthisrequiresrobustfoundations;systemsthatcanbothsupply
AIwithaccurate,relevantdata
andexecuteitsdecisionswithprecision.Truly
personalized
trip
planningFordecades,thetravelindustryhasaimedtodelivertrulypersonalizedjourneystotravelers.Whileloyaltyinformation,travelerprofiles,browsinginsightsandpastpurchase
historyprovidevaluableinsightsintoatraveler’spreferences,theseinputsalonedonot
provideadefinitive,real-timeunderstandingofatraveler’sintent.Agentic
commerce:
why
AI
will
transform
trip
planningAgentic
AIpromises
to
significantlyimprove
the
tripplanning
experience
across
airline
owned
and
third-party
touchpoints.Whitepaper:Airlinesintheagenticage
Amadeus.It’showtravelworkssmarter.
10本报告来源于三个皮匠报告站(),由用户Id:349461下载,文档Id:1283330,下载日期:2026-07-30Agentic
commerceprotocolsForagenticcommercetoflourish,technicalstandardsareneededtodefinehowagents
interactthroughouttheend-to-endflow,coveringcommunication,bookingandpayment.
Severalprotocolshavealreadybeenproposedandaregainingtraction.•
ModelContextProtocol(MCP):
Anopen-sourceprotocoloriginallymadeavailableby
Anthropic,whichcanbeconceivedasawrapperthatenables
APIstobeconsumedand
understoodby
AIagents.•
UniversalCommerceProtocol(UCP):
Aprotocolforagentstointeractwithoneanother
createdbyGoogleandShopify.UCPenablescheckoutandpayment.•
AgenticCommerceProtocol(ACP):
AnopenstandardcreatedbyOpen
AIandStripe
thatenablesbuyers,their
AIagents,andbusinessestointeractconversationallytocompleteapurchase.•
Agent2AgentProtocol(A2A):
AnopenprotocolfromGooglewithcontributionsfrom50
othercompanies,allowing
AIagentstocommunicatewitheachother,securelyexchange
information,andcoordinateactionsontopofenterpriseplatformsorapplications.•
NaturalLanguage
Web(NLWeb):
AnopenprojectdevelopedbyMicrosoftthataimsto
makeitsimpletocreatearich,naturallanguageinterfaceforwebsites,allowingusersto
querythecontentsofthesiteusingnaturallanguage,
justlikewithan
AIassistantorCopilot.Ultimately,themarketwilldeterminetheprotocolsthatunderpinagenticcommerce.Inthe
travelsector,however,thereisaclearopportunitytoinfluencetheevolutionofgeneralprotocolsalongsidetheneedfortravel-specificstandardsthatreflectthecomplexityof
traveloperations.Irrespectiveoftechnicalstandards,
Amadeuswillsupportairlinestoworkwith
AIassistants
inawaythatsecuresreachandconversionwhileprotectingtheirbrands.How
Amadeusis
supporting
Agentic
commerceToday,Amadeusprovidesearlyagenticsolutionssoairlinescanofferassistedtrip
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