2025AI智能体客户服务应用案例指南

USECASEGUIDEAgenticAIinCustomerSupport

AgenticAI:UseCasesforCustomerSupport

WheretodeployAIagentsformaximumimpactoncosts,speed,satisfaction,andscale

Copyright©2025AutomationAnywhere,Inc.

2

IENGUIDEAgenticAIinCustomerSupport

Yoursupportvolumespikeswithoutwarning.Yourself-

servicetoolsfail,pushingcustomerstoexpensivechannels.Youragentsburnoutandquit.Newhirestakemonths

tobecomeproductivebecauseyourknowledgelives

everywhereandnowhere,scatteredacrosssystems,Slackthreads—andtheheadsofpeoplewhojustleft.

Meanwhile,executivepressureto“dosomethingwithAI”

intensifiesdaily.Butpressurewithoutclarityisarecipeforparalysis:whatshouldyouactuallybuild,whichprocessesshouldyouautomatefirst,andhowdoyoudeployAIthatworksreliablyratherthancreatingnewproblems?

Thisguidecutsthroughthenoise.

ofagentssaytheirworkloadisupand

morecomplex

comparedtooneyearago

Source:

2025SalesforceStateofServiceReport

AIisreadytoworkinCustomerSupport

Gofromcostcentertostrategicgrowthengine

LeadersexpectAItohandlehalfofcasesby2027;AgenticProcessAutomation(APA)andourpurpose-builtsolutionsgetyoutherewithmeasurablegainstoday.

Scaleefficiencywithoutgrowingsupportteamheadcount.APAhandleshigh-volume,lowtomid-complexitytasksautonomously,enabling24/7supportandreducingcostperticket.

AccelerateresolutionandSLAcompliance,reducefirstresponseandensureconsistent,

compliantresolutions.AIagentsapplypoliciesthesamewayeverytime,auto-documentactionswithexplainablelogic,andkeepfullaudittrailsacrossCRM,ITSM,ERP,andotherkeysystems.

3

SOLUTION

USECASEGUIDEAgenticAIinCustomerSupport

APACombines

Thepowerofagenticartificialintelligence(AI),abletoreason,plan,andmakedecisionsindynamicenvironments.

Thepowerofautomation,takingactionacrosssystemsofrecordandwork.

Humanattentionisfocusedwhereitisneeded:high-valueinteractions,judgement,andcare.

Inthisguide,wewillhelpyouidentifyCustomerSupportusecasesthatareripeforAPA,rightnow.

AI

+Automation

Takeactionacrossenterprisesystemsofrecordandwork

Cognitiveabilitytoreason,plan,

andworktowardagoalbasedon

dynamic,unstructureddata

Choiceofmodels

Strongsecurityandgovernance.

Finetuningwithenterprisedata

Pushhumansinthelooporsafetyandquality

Orchestration

Intelligentcoordinationlayer

Managesdecisions,dependencies,context,andexceptions

CoordinatesacrossAIagents,systems,data,andhumantouchpoints

4

SOLUTION

USECASEGUIDEAgenticAIinCustomerSupport

TicketTriageandResolution

Challenge

Whenrequestsfloodinfromeverychannel—email,chat,socialmedia,phone—therecan

bechaos:duplicateticketsaccumulate,criticalissuesdisappearintoqueues,andhigh-priorityrequestsfromkeycustomerssitbesidesimplepasswordresets.Allwhileagentshuntthroughdisconnectedknowledgebasesforanswersthey’vealreadyprovideddozensoftimesbefore.

Inthiscontext,it’snosurpriseagentburnoutaccelerates,customersatisfactionplummets,andoperationalexpensesspiralasteamsscaleheadcounttomanagevolumeratherthanaddressingunderlyinginefficiencies.

DespitesporadicexperimentswithAIsolutions,supportoperationsremaintrappedinacycleofreactivefirefighting,unabletobreakfreefrommanualprocessestodeliverthefast,personalizedservicecustomersnowexpect.

5

SOLUTION

USECASEGUIDEAgenticAIinCustomerSupport

Howagenticprocessautomation(APA)helps

Startingthemomentarequestarrives,APAorchestratesAIagentstoworkacrosstheentiresupportlifecycle.

AIagentsconsolidateinquiriesfromeverychannelintoaunifiedview,detectingandmerging

duplicateticketsbeforetheyreachhumanqueues.Atthesametime,theyverifycustomeridentityandobtainnecessaryconsent,eliminatingthefrictionandsecurityrisksofmanualauthentication.

Fromthere,intelligentintentdetectioncategorizesrequestsandtheirurgency,routingtickets

basedonbothpriorityandagentskills,matchingcomplextechnicalissuestospecialistsorroutinequestionstoavailablegeneralistssothattherightexpertisetackleseachproblem.

Whenhumanagentsopenaticket,relevantknowledgearticles,pastresolutions,andsuggestedactionsappearinstantly,cuttingresearchtimeandenablingfaster,moreconsistentresponses.

Forstraightforwardrequests—passwordresets,accountupdates,andstatuschecks—agenticautomationhandlescompleteresolutionwithouthumanintervention,deflectingincoming

volume.Andforeverythingelse,AIdraftscontextualresponsesthathumanagentscanreview,personalize,andsendinsecondsratherthanminutes.

Businessimpact

UPTO

•Muchloweraveragehandletime(AHT)

•Reducedfirst-responsetime(FRT)

•Increasedsupportcapacitywithoutadditionalheadcount

100%

reductioninaveragehandletime(AHT)

Signsyouneedagenticprocess

automation

UPTO

•Humanagentsspendmoretimesearchingthansolving

•Criticalticketsgetburiedbecausemanualtriagecan’tkeeppacewithvolume

85%

reductioninfirst-

responsetime(FRT)

•Duplicateticketsaremultiplyingcausingagentstoworkthesameproblemtwice

•Supportcostskeeprisingasyouaddagentstohandle

UPTO

volume

•Simplerequestslikeaccountupdatesandstatuschecksclogyourqueues

83%

boostinagentefficiency

6

SOLUTION

USECASEGUIDEAgenticAIinCustomerSupport

OrderManagement

Challenge

Customersexpectreal-timevisibilityandinstantcontrolovertheirorders,butorderinformationlivesscatteredacrosse-commerceplatforms,warehousemanagementsystems,shipping

carriers,andpaymentprocessors—forcingagentstotogglebetweenmultiplescreensjusttoanswerasimple“Where’smyorder?”inquiry.

Meanwhile,simplerequeststomodifyanaddress,canceladuplicatepurchase,orinitiatea

returnrequirenavigatingcomplexapprovalworkflows,systemlimitations,andinterdepartmentalhandoffs.Thewindowfororderchangesclosesquickly,yetcustomerswaitonholdwhileagentshuntforinformationthatshouldbeattheirfingertips.

Returnsbecomeordealsforeveryoneinvolved:frustratedcustomersabandonfuturepurchases,agentsdrowninrepetitiveinquiries,andrevenueleaksthroughavoidablecancellationsand

returnfraud.

7

SOLUTION

USECASEGUIDEAgenticAIinCustomerSupport

Howagenticprocessautomationhelps

AgenticprocessautomationunblocksordermanagementwithAIagentsthatmonitorordersacrossallsystemsinrealtime.Theyprovideinstantstatusupdatesbysynthesizingdatafrome-commerceplatforms,warehouses,carriers,andpaymentprocessorsintoasingleview.

Whencustomersrequestchanges,AIagentsautomaticallyvalidatefeasibility,execute

modificationsacrossmultiplesystems,andconfirmupdates—fromadjustingshippingaddresses,tocancelingordersbeforefulfillment,toprocessingrushupgrades.

ReturnsandRMArequeststhatrequiredmultipletouchpointsbecomeoneinteraction.AIagentsverifyeligibilityagainstpolicyrules,generatereturnlabels,initiaterefundsorexchanges,and

updateinventorysystemswithoutmanualintervention,reducingreturnprocessingtime.

Behindthescenes,continuouscross-systemreconciliationidentifiesdiscrepancies—mismatchedorderstatuses,paymentholds,inventoryconflicts—andeitherresolvesthemautomaticallyor

flagsexceptionsforhumanreview.Proactivenotificationskeepcustomersinformedateverymilestone,deflecting“whereismyorder?”inquiriesbeforethey’reevenasked.

Businessimpact

•Reducedorderinquiryvolumeandrepeatcontactrates

•Decreasedordercancellationandreturnprocessingcosts

•Improvedorderaccuracy,fewerfulfillmenterrors

Signsyouneedagenticprocessautomation

•“Where’smyorder?”dominatesyourticketvolume

•Ordermodificationrequestsmissthefulfillmentwindow

•Returnstakedaysandmultipleinteractions

•Systemdiscrepanciescreatecustomer-

facingerrors—e.g.ordersshow“delivered”whenthey’restillintransit

•Repeatcustomerscan’teasilyreorder

“

Ourfront-lineworkersnolongernavigatemultipleapplicationsystemsforpullingdata.Theyuseonesingledashboardthatcontainsallthedatatheyneedtoservicethecustomer.

”—VPEnterpriseArchitecture,TopU.S.Retailer

Readthecustomerstory⇨

8

SOLUTION

USECASEGUIDEAgenticAIinCustomerSupport

AccountAdministration

Challenge

Everyday,supportteamsfieldanavalancheofaccount-relatedrequeststhatshouldbestraightforwardbutbecometangledinsecurityprotocols,systemlimitations,andmanualverificationsteps.

agentsstill

cannotreliablyaccesscustomerinformation

Simpleprofileupdates—changinganemailaddress,updatingpaymentmethods,modifyingpreferences—requirehuman

intervention.Subscriptionchangesandplanupgradesget

Source:

92customerservicestatistics

bottleneckedbypricinglogicburiedinlegacysystems,forcingagentstomanuallycalculateprorationsandcoordinatechangesacrossbilling,entitlement,andaccesscontrolplatforms.

Whencustomersaccumulatemultipleaccountsthrough

acquisitions,productexpansions,orforgottencredentials,

mergingthembecomesamulti-dayprojectinvolvingdata

reconciliationacrosssystemsneverdesignedtotalktoeachother.

And,hiddenfromview,unusualaccountactivitylikesuspicious

loginpatterns,unexpectedusagespikes,andpotentialfraudgoesundetecteduntilcustomersreportproblemsorfinanceflags

chargebacks.

youneedtoknowin2025

9

SOLUTION

USECASEGUIDEAgenticAIinCustomerSupport

Howagenticprocessautomationhelps

APAeliminatesthefrictionassociatedwithaccountadministration.

AIagentsstreamlineaccountcreationbyvalidatinginformation,detectingduplicateaccountsbeforethey’recreated,and

configuringprofilesbasedoncustomersegmentand

preferences.Whencustomersneedupdates,agentsverify

identitythroughmulti-factorauthentication,executechangesacrossallconnectedsystemssimultaneously,andconfirm

updates—whethermodifyingcontactinformation,updatingpaymentmethods,oradjustingcommunicationpreferences.

Passwordresetsandauthenticationissuesthatusedtorequiresupportticketscanberesolvedinstantly.AIagentsguide

customersthroughsecureself-serviceflows,detectwhen

additionalverificationisneeded,andhandle2FAsetupor

recoverywithouthumanintervention,reducingauthentication-relatedtickets.

Forsubscriptionandplanchanges,AIagentsautomatically

calculateprorations,validateupgradeordowngradeeligibility,adjustbillingcycles,andsynchronizeentitlementsacross

systemsinrealtime—turningmulti-stepprocessesintosingleinteractions.

Whencustomersneedaccountconsolidation,AIagentsmaprelationshipsbetweenaccounts,migratedatawhilepreservinghistory,mergebillingandsubscriptions,andreconcileaccesspermissionswithoutmanualdataentryorservicedisruption.

Perhapsmostimportantofall,APAprovidescontinuoususageanomalydetectionthatmonitorsaccountactivitypatterns,

flaggingsuspiciouslogins,unusualconsumptionspikes,or

potentialfraudforimmediaterevieworautomatedintervention.

UPTO

accuracy

33%

liftinend-to-end

applicantself-service

10

SOLUTION

USECASEGUIDEAgenticAIinCustomerSupport

Businessimpact

•Dramaticreductioninaccount-relatedticketvolume

•Fasteraccountsetupandonboardingcompletionrates

•Reducedchurnfromauthenticationandaccessfriction

Signsyouneedagenticprocessautomation

•Yoursupportticketsoverflowwithlockouts,forgottenpasswords,and2FAproblems

•Planchangestakedaysinsteadofminutes

•Constantrequeststo“mergeeverythingintooneaccount”

•Profileupdatesrequiresupporttickets

•Youdiscoverfraudandabuseafterthedamageisdone

TaskUs

achieved105%improvementoveritsAHTtargetandincreasedticketprocessing2Xbyempowering3,000teammateswithagenticautomation.

11

SOLUTION

USECASEGUIDEAgenticAIinCustomerSupport

KnowledgeManagement

Challenge

Supportteamsknowtheirknowledgebaseshouldbetheirgreatestasset,yetitbecomestheirbiggestliability.

Agentswastetimesearchingrepositoriesofduplicatearticles,conflictinginformation,andcontentwrittenyearsagoforproductsthatnolongerexist.Whennewproductslaunchorpolicieschange,knowledgeteamsscrambletocreatecontentwhilesupportticketspileupwithquestionstheKBshouldanswer.

Forglobalcompanies,multilingualsupportmeanseitherexpensivehumantranslationwithweeklongdelaysormachinetranslationsopoorthatagentsdon’ttrustit.

Attheendoftheday,criticalinformationlivesinagentheads,Slackthreads,andemailchains—andoftennevermakesitintosearchabledocumentation.Thatmeanshumanagentsbypasstheknowledgebaseentirely,answeringthesamequestionsrepeatedlyfrommemory,while

customersabandonself-serviceportalsthatcan’tsurfacetheanswerstheyneed.

Knowledgemanagementbecomesaperpetualbacklogthatgrowsfasterthananyteamcanaddress.

12

SOLUTION

USECASEGUIDEAgenticAIinCustomerSupport

Howagenticprocessautomationhelps

APAturnsknowledgemanagementintoaself-improvingsystem.

AIagentsanalyzeresolvedtickets,customerinteractions,andinternalcommunicationstoautomaticallygeneratedraftknowledgearticles—capturingexpertsolutionsthemomentthey’recreatedandconvertingtribalknowledgeintosearchabledocumentation.Asticketsareresolved,agentsproducesummariesthatdistillcomplexissuesintoreusablecontent.

FAQupdateshappencontinuously.AIagentsmonitorincomingquestions,identifytrends,

andautomaticallyrefreshexistingarticlesorflagoutdatedcontentforreview.Contentgap

analysisrunsconstantly,too—comparingcustomerinquiriesagainstavailabledocumentationtopinpointexactlywhichtopicsneedcoverageandprioritizethembasedondemand.

Whenarticlesexist,intelligentrelevancescoringtrackswhichcontentactuallyresolvesissues,surfacesunderperformingarticlesforimprovement,andensuressearchresultsprioritize

whatworks.

Forglobaloperations,automatedmultilingualtranslationmaintainsconsistencyacross

languageswhilepreservingtechnicalaccuracyandbrandvoice.Andupdatespropagate

acrossalllanguageversionsautomatically,ensuringcustomersworldwideaccessthesameinformationatthesametime.

Businessimpact

•Fasterknowledgearticlecreationandtime-to-publish

•Increasedself-serviceresolutionratesandKBeffectiveness

•Lowercostpertranslationandconsistentglobalcontent

40%

fewerescalations

deployment

UPTO

Signsyouneedagenticprocessautomation

60%

increaseinknowledgebaseattachrates

•Yourknowledgebaseisagraveyardofoutdatedcontent

•Agentssolveproblemsbutneverdocumentthem

•Searchreturnsirrelevantresults

PROJECTED

•MultilingualsupportlagsweeksbehindEnglish

30%

reductionin

operationalcosts

13

SOLUTION

USECASEGUIDEAgenticAIinCustomerSupport

CommunicationandPost-Interaction

Challenge

Customerconversationssprawlacrossemail,chat,phone,andsocialmedia,oftenwithinthesameissue.Yetmostsupportsystemstreateachchannelasisolated,forcingcustomersto

repeatthemselvesandagentstopiecetogetherfragmentedhistoriesfrommultipletools.

Craftingresponsesconsumesenormoustimeasagentstogglebetweenknowledgebases,pasttickets,andapprovedmessagingtoensureaccuracyandconsistency.Afterresolution,theworkcontinues:agentsmanuallydraftfollow-upemails,setremindersforpromisedcallbacks,attachresolutionnotes,andhopenothingfallsthroughthecracks.

Surveydeploymenthappenssporadicallyifatall,andwhenfeedbackdoescomein,itsitsunanalyzedinspreadsheets—richinsightsaboutbrokenprocesses,strugglingagents,andproductissuesburiedinunstructuredtextthatnoonehastimetocategorize.

Coachingopportunitiesemergeweekstoolatewhenmanagersfinallyreviewcases,missingthemomentwhenreal-timeguidancecouldpreventescalations.

Theresult:disjointedcustomerexperiences,inconsistentcommunicationquality,lostinsightsthatcouldimproveoperations,andagentsspendingmoretimeonadministrativefollow-upthanactualproblem-solving.

14

SOLUTION

USECASEGUIDEAgenticAIinCustomerSupport

Howagenticprocessautomationhelps

Agenticprocessautomationmakesseamlesscommunicationthroughoutthecustomerjourneyareality.

AIagentssynchronizeconversationsacrossallchannelsinreal-time,maintainingunified

context—whethercustomersswitchfromchattoemailtophone—whicheliminatesrepetitiveexplanationsandensureseveryagentseesthecompleteinteractionhistoryinstantly.

Whencraftingresponses,intelligenttemplatesuggestionsandsmartrepliessurfacecontextuallyrelevantlanguagebasedonissuetype,customersentiment,andsuccessfulpastresolutions,

reducingresponsecompositiontimewhilemaintainingconsistencyandquality.

Post-resolutionworkflowsareautomatic:AIagentsdispatchfollow-upmessagesatoptimaltimes,sendremindersforscheduledcallbacks,attachrelevantdocumentationtoclosurenotes,and

ensurenothingpromisedtocustomersgetsforgotten.

AndcustomersreceiveCSATorNPSrequestsatjusttherightmomentbasedoninteractioncomplexityandresolutionconfidence,drivinghigherresponserates.Asfeedbackarrives,

automatedcategorizationextractsthemes,sentiment,andactionableinsights,connectingnegativescorestospecificprocessbreakdownsorknowledgegaps.

Real-timecoachingtriggersdetectwhenagentsstruggle,flaggingthingslikeunusualhandle

times,negativesentimentshifts,andrepeatedsearches,tosurfacerelevanttips,suggested

responses,orescalationpathsinthemoment.Ratherthanwaitingforweeklyreviews,agents

receiveguidanceexactlywhentheyneedit,turningeveryinteractionintoalearningopportunity.

15

SOLUTION

USECASEGUIDEAgenticAIinCustomerSupport

Businessimpact

•ImprovedCSAT/NPSscoresandsurveyresponserates

•Reducedaverageresponsecompositiontime

•Fasteragentonboardingandskilldevelopmentthroughreal-timecoaching

Signsyouneedagenticprocessautomation

•Responsequalityvarieswildlybyagent

•Follow-upsfallthroughthecracksandcustomershavetofollowupthemselves

•Surveyinsightssitunanalyzed

•Coachinghappenslongafterinteractions

AutomationAnywhereachieved

a12%increaseinNPS,

reachinganall-timehighof+56,anda

6.7Xreturnoninvestmentby

significantlyreducingescalationsandimprovingagentefficiency

withagenticautomation.

16

SOLUTION

USECASEGUIDEAgenticAIinCustomerSupport

CaseManagement

Challenge

WiththeSLAclockticking,mostteamsmanagethewebofdependencies,deadlines,andhandoffsbehindsupportinteractionsthroughspreadsheets,manualstatuschecks,and

institutionalmemory.

Simplerequeststhatrequireactionsacrossmultiplesystemsbecomemulti-dayordeals—

agentsmustmanuallylogintobillingplatforms,updateCRMs,triggerprovisioningtools,and

hopeeachstepcompletessuccessfully.Meanwhile,morecomplexcasesrequiringapprovalssitwaitingformanagerswhodon’tknowtheyneedtoact.

Cross-departmenthandoffs—fromsupporttoengineering,billingtofulfillment—happen

throughaseriesofforwardedmessageswherecontextgetslostandaccountabilityevaporates.Andwhencasesfinallydoclose,agentsrushthroughdispositioncodesandbriefnotes,

skippingdocumentationthatwouldhelpfutureagentsorsatisfycompliancerequirements.

ItalladdsuptomissedSLAs,approvalbottlenecks,caseslostinhandofflimbo,andincompleteaudittrailsthatcreatecompliancerisk.And,perhapsmostproblematicofall,thereisno

systematicwaytounderstandwhycomplexcasestakesolongorwhereprocessesbreakdowntofuelimprovement.

17

SOLUTION

USECASEGUIDEAgenticAIinCustomerSupport

Howagenticprocessautomationhelps

APAorchestratesend-to-endcasemanagementwithprecisionand100%visibility.

AIagentsmonitorSLAtimersacrossallcasescontinuously,automaticallyescalatingapproachingviolationswithfullcontexttoappropriatemanagersandsuggestingactionstopreventSLA

violations.

Whencasesrequireactionsacrossmultiplesystems,AIagentsexecutetasksinparallel:updatingbillingrecords,provisioningservices,adjustingentitlements,andloggingchangesacrossplatformssimultaneously,collapsingmulti-stepworkflowsintounifiedoperations.

Casesrequiringapprovalsautomaticallyroutetodecision-makerswithcompletecontextandrecommendedactions.Intelligentcaseswarmingdetectswhenspecializedexpertiseisneededandassemblestherightteam—pullinginproductspecialists,engineers,oraccountmanagerswhentheirinputmatters.

AIagentsstreamlinecross-departmentalhandoffsbypackagingcompletecasehistory,attachingrelevantdocumentation,settingclearexpectationswithreceivingteams,andmaintainingvisibilitythroughouttheprocess.Nocasedisappearsintoablackhole.

Automatingdispositionandclosureensureseverycaseconcludeswithpropercategorization,

completeresolutionnotes,requiredattachments,andcompliancedocumentation—allgeneratedfromthecaseactivitysothereiszeromanualentry.

Andlastbutcertainlynotleast,comprehensiveaudittrailscaptureeveryaction,decision,and

systemchange,providingcompletecompliancedocumentationandenablingfullanalysisofcaselifecyclestofindbottlene