2025年未来服务：智能体验时代报告-

TheFutureofService

THEAGEOFINTELLIGENTEXPERIENCE

February2026

CONTENTS

01

02

03

04

05

TheFutureofService|TheAgeofIntelligentExperience

TheAIServiceVaIueMap|WhereAICreatesValueinService

TheEconomicsofAI

TheAILeversPoweringEfficiencyintheNewContactCenter

DrivingROIwithAIEfficiencyinFieIdService

06

07

08

09

10

UnIockingNewRevenueStreamswithAIinService

TheNextLayerofIntelligence|IncrementaIAIOpportunities

TheNewServiceTechnoIogyArchitecture

TheHumanDimension|RedefiningtheWorkforceofService

FromVisiontoVaIue|TheAIServiceTransformationRoadmap

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EXECUTIVESUMMARY

TheAgeofInteIIigentExperienceisuponus.Customerserviceisonthebrinkofitsmostprofoundreinventionindecades—anAI-firstfuturewhereeveryinteractionisfaster,smarter,anddeepIypersonaIized.Technologyhasfinallyreached

capabilitylevelswhereitcanaddressthemostcomplexcustomerneedswhilesimultaneouslyenablingtheefficienciesrequiredoftoday'scontactcenterandfieldservicebusinessleaders.

Wewillexplorehowbusinessleaderscanharnesstoday’sopportunitiestoreshapeandradicallytransformthecustomer

experiencewithanAI-firstapproach.TheFutureofServiceshouldseeitshiftfromcost-centeroperationstovalue-driven

experienceecosystemswhereAIbecomestheengineforbothempathyandefficiency.We’lltakealookathowthis

transformationisnotonlyredefiningtheworkforcebyshiftingrolesfromreactiveserviceagentstoproactiveknowledgecuratorsandAIcollaborators,butalsocreatingnewpathwaysforinteIIigentrevenuegenerationthroughpredictiveinsightsand

hyper-personaIizedengagement.Lastly,we’llexplorehowtheconvergenceofdata,automation,andhuman-AIcollaborationiscreatingnewarchitecturedependenciesthatdemandtrust,transparency,andunifieddatastrategiestopowerintelligent

customerexperiences.

Wewilldeliveraclearvisionforbuildingefficientcustomerservicethatcontinuouslylearns,evolves,anddelights,culminatinginaroadmapforthrivingintheAgeofInteIIigentExperiencewherehumansareheroes,andAIdoestherest.

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Ifyou’reonlyoptimizingpeople,

you’realreadybehind.

Thenextdecadebelongsto

thosewhooptimizeservice

inteIIigence.

THEFUTUREOFSERVICE

THEAGEOF

INTELLIGENTEXPERIENCE

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WEAREHERE

Thethirdwaveofservice

Fromdigitaltoagentic

Wave3

Wave2

AUTONOMOUS

PROACTIVE

HYPER-PERSONALIZED

SCALABLE

Wave1

OPEN,CONNECTEDEFFICIENCY,EXPERIENCEINTELLIGENCE

2000

Systemsanddataexiston-premise,resultinginsiloed

dataandlimitedintegration.

2010

Systemsmovefromon-

premisetothecloud,enablinginteroperabledataand

processautomationwhichcreatesmorepersonalizedcustomerexperiences.

2025+

Automationevolvestoagentic,empowering

systemstosense,decide,andact,resultingin

processesthatareself-learning,self-improving,andrequirelesshumanintervention.

Costoptimization(efficiency)andcustomer-centricity(experience)cometogether.

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AIcapabilitiesnowdrivemeaningfuIimpactthroughservicethatis:

AUTONOMOUS

AIunderstandsrequests,makesdecisions,

andcompletestasksend-to-endinrealtime.

PROACTIVE

AIunderstandsintentandanticipates

customerneedsbeforetheyareexpressed.

HYPER-PERSONALIZED

AItailorsinteractionstotheindividual

customers’history,preference,andcontext.

SCALABLE

AIhandlesmultipleinteractionssimultaneously.

ofcontact

45%

1.GlobalContactCenterSurvey(publicationpending),DeloitteDigital,2026

centerleadersareplanningtouse

agenticAIbyendof20261

SERVICEIMPERATIVES

INTHEAGEOFINTELLIGENTEXPERIENCE

>30%

estimatedaveragecostreductionenabledbyAI1

#1

priorityforcontactcentersleaders1

1.2x

morelikelyforcustomerstomakerepeatpurchaseswhentheyhavesupportintheirpreferredchannel2

DRIVESERVICEEFFICIENCIES

Serviceoperationscostsarerising,and

Customerservice

Ieadersface

traditionalcostleverssuchasoffshoring,consolidation,andstandardizationare

becomingincreasinglyexpensiveasvolumegrowsandprocessesremainlaborintensive.

ENHANCECUSTOMEREXPERIENCE

mountingimperatives.

Customersexpectfast,consistent,and

personalizedsupportacrossevery

AIpromisesaboId,transformationaIresponse.

IntheneweraofIntelligentExperience,humansand

machinesbecomeoneecosystemenablingeachother.

touchpoint,yettraditionalworkflowsare

limited,creatinggapsinexperiencethatimpactsatisfactionandloyalty.

CREATENEWVALUE

Serviceisnolongerjustacostcenter;itisapotentialenginefor

predictiveinsights,loyalty

creation,andrevenueexpansion

1.GlobalContactCenterSurvey(publicationpending),DeloitteDigital,2026|2.TrustIDBrandIndex,Deloitte,2025

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THEFUTUREOFSERVICE

THE

AISERVICEVALUEMAP

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Today’stechnologyadvancementsimpacttheentirespectrumofservice

CUSTOMERSUCCESS

SELF-

SERVICE

SERVICECAPABILITY

CONTACT

FIELD

IN-STORE/

CENTER

SERVICE

IN-BRANCH

•In-product/in-app

•Omnichannelvirtualassistants

•Web/mobile

•Pre-andpost-salesupportandaccountmanagement

MODALITY

•Livehumansupport

•

Coordinationanddeliveryof

•Physicallocation,in-person

•Insourced/outsourced

serviceatcustomer’slocation

PRIMARYFUNCTION

Enablethetoolsandtechnologyneededtoresolvehigh-volume,transactionalinteractionsinthecustomer’spreferredchannelattheirconveniencewithoutthe

needforliveagentintervention

Resolvemorecomplex,emotional,

Deliverhands-onserviceata

Providepersonalizedservicetoa

and/orhigher-riskinquiries

customer’slocation,including

customeratthepointofsale,

throughliveagentinteractions

installation,maintenance,repair,

allowingfordedicated,extended

enabledbytechnologytoprovidea

inspections,orsupportofproducts,

interactionsandhandlingof

higherlevelofexpertiseand

equipment,orsystemsthrougha

sensitiveinformationwherein-

humanempathy

mobile,distributedworkforce

personpresenceisrequired

Managecustomerrelationships

throughoutthejourneytosupport

satisfactionandadoptionofproductsandserviceswhileidentifying

opportunitiesforexpansionthroughrenewalsandcross-selling/upselling

BiggestOpportunityAreas

VALUEDRIVENBYAI

2

3

1

REDUCEHANDLETIME&REPEATSERVICE

INTERACTIONS

DEFLECTINTERACTIONVOLUME&REDUCE

CUSTOMEREFFORT

INCREASEREVENUEPERINTERACTION&CROSS-SELLCONVERSION

HowdoIdeliverexpertisequicklyandaccuratelywhenit’sneededmost?

HowdoIimprovechannelconvenienceand

functionalitytoreducetheneedforliveinteractions?

HowdoIoptimizeopportunitiestoenhancethecustomer

experienceandunlocknewvaluethroughpersonalizedinteractions?

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WhileAIimpactstheentireserviceecosystem,severalcapabilitiespresent

significantopportunitiesforcreatingvaIue

CUSTOMERSUCCESS

CONTACTCENTER

SELF-SERVICE

FIELDSERVICE

BusinessManagement

INSTORE/INBRANCH

IVR/IVA

WorkOrderManagement

Scheduling&Dispatch

MobileTechnicianEnablement

AR/VRRemoteAssistance

PredictiveMaintenance

AppointmentScheduling

Chatbot

POSIntegration

CustomerJourneyDesign

Web

ServiceDeck

OfferingManagement

CustomerLifecycleManagement

Operations&Enablement

CustomerIntelligence

RetentionManagement

Mobile/In-ProductSupport

InventoryManagement&Visibility

Feedback&ExperienceCapture

SocialMedia

KnowledgeBase/FAQManagement

Parts&InventoryManagement

CommunityForums/PeerSupport

RouteOptimization

Warranty&ContractManagement

Multimodal

LiveVoice

LiveMessaging

Email&TicketSupport

ChannelManagement

AgentAssist

ServiceDeliveryModel

SupportingOperations(e.g.,WFM/QA)

Telemetry&Diagnostics

CaseManagement

Cross-Sell/UpsellEngine

DataArchitecture&Integration

Governance&Security

ProactiveNotifications

Self-Healing

Talent&Training

Analytics

ENABLERS

CRM/CustomerData

KnowledgeManagement

AI

Opportunity

High

Medium

Low

THEFUTUREOFSERVICE

THE

ECONOMICSOFAI

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Today,thecostoflabordrivestheeconomicsofservice

SERVICECOSTBREAKDOWNTODAY

55%-70%

LABORCOSTS

HumanCostPerInteraction

VOLUME

(human-handled)

15%-20%

TECHCOSTS

10%-30%

OVERHEAD&OTHERCOSTS

•Quality,

Compliance&Rework

•SpareParts/Inventory

•Supporting

Functions(e.g.,WFM,Travel/Logistics)

•Facilities

•…andmore…

TECHNOLOGY

HANDLETIME

(CRM,Telephony,

functionallicenses,

ongoingmaintenance)

(includingtravel/

logisticsforfield

service)

TOTAL

OPERATING

COST

OVERHEAD&OTHERCOSTS

UTILIZATION

LABORRATE

IMPACT

Volumeto

humanagents

decreases

HandletimeispushedupasAIhandlesmorecomplexcalls,but

pusheddownbyAIcopilotshelping

humanagents

Laborcosts

decreasewithAIenablingincreasedlow-costcountry

resourcing

Utilization

increasesasAItoolsimprove

agentefficiency

Technologycosts

increasewiththe

additionofAIcapabilitiesacrosstheecosystem

Othercosts

decreaseasAI

unlocksbackofficeefficiency

InvestinginadvancedAIservicecapabilitiesreducesoverallservicecost.

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WHATDRIVES

THEVALUE?

DeployingmoreadvancedAItechnologyinservicedrivesupbenefitswhiIe

reducingcosttoserve

BASELINEVALUEAI-ENHANCEDVALUE

COSTVALUE

ADDITIONALBENEFITS

ADDITIONALBENEFITS

SALES

CONVERSION,

UPSELL,

CROSS-SELL

SALES

CONVERSION,

UPSELL,

CROSS-SELL

EXPERIENCE,LOYALTY,&TECHUPSIDE

Improvedserviceenhancescustomerexperience,

drivingloyalty,whileunlockingotherbenefits

throughextensionsofAIfoundationcross-enterprise

REVENUEUPLIFT

Moreadvancedtech(AI)reducesfrictionleadingtoimprovedconversionandretentionrates

10%-25%

potential

revenueuplift

TECHCOSTS

TECHCOSTS

OVERHEAD&OTHERCOST

OVERHEAD&OTHERCOSTS

SERVICECOSTSAVINGS

Techexpenseincreaseswithmoreadvanced

FRONTLINELABORCOSTS

FRONTLINELABORCOSTS

capabilitiesbutisbalancedbytheabilityto

handletheincreasedvolumeofautomatedinteractions

30%-60%

potential

costsavings

WithAItechnology,thedriverofservicecostsmovesfromscalingwithlicensecoststoscaIingwithmodeIconsumption.

14|Copyright©2026DeloitteDevelopmentLLC.Allrightsreserved.1.“The2025AIindexreport,”StanfordInstituteforHuman-CenteredAI,2025.

AIcapabiIitieshaveimproveddramaticaIIyasthecostofAIcontinuestofall

Over

280x

decreaseinAIconsumptioncosts(“inferencecosts”)inthelasttwoyears1

THETIMETOINVESTINADVANCEDAI

CAPABILITIESISNOW

WEAREHERE

$$$$$

Agentic

Agent-to-AgentResolution

$$$$

$$$

SupervisorEquivalent

$$

ComplexMulti-taskResolution

Complex

$

Conversational

Simple

Resolution&Routing

Conversational

BasicResolution&Routing

Deterministic

TIMEHORIZON

KEY●AICAPABILITY●AICONSUMPTIONCOST

THEFUTUREOFSERVICE

THEAILEVERSPOWERINGEFFICIENCY

INTHENEWCONTACTCENTER

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InvestingacrossdifferentgenerativeandagenticAIcapabilitiescanpotentially

create50%efficiencyacrosscontactcenteroperations

FORCEMULTIPLIERS

PRIMARY

AICONTINUOUSINTENTANALYSIS&CHANNEL

OPTIMIZATION

AIPREDICTIVE&

PROACTIVEOUTREACH

FORISSUERESOLUTION

AILANGUAGE

TRANSLATION&

ACCENTREDUCTION

AIAGENTASSIST

(COPILOT)

AI

VIRTUALAGENTS

4

3

2

5

1

ImplementanAIagentcapableofhandlingvoiceandtext/chat

channelstodeliverend-to-endself-serviceresolution.

Augmenthumanagentswithreal-time,next-best-actioncoachingandsentimentanalysis,rapidsmart

searchforknowledgeretrieval,

automatednote-takingand

summarizationacrosschannelsforcontextretention,andguided

workflowsforcomplexprocesses.

Drivelowerlaborcostsand

increaseutilizationwithAIthatautomatically“upskills”every

humanagentintoamultilingualexpertwithreal-timetranslation&accentreduction.

Utilizeself-healingAIto

proactivelydetectissuesrequiringserviceandconductoutreachtocustomerstoresolveissues

beforeitbecomesacall.

Establishongoingunderstandingof

interactiondriversacrosschannelstodefinetheoptimalhandlingapproach,creatingafeedbackloopofreal-timeagentprocessimprovements,

customer&productinsights,and

intentrecognitiontobuildcontinuousagentperformanceimprovements

andeffectiveAIautomations.

EXPECTEDVALUE

DefIect

InteractionVolume

50%-80%interactionsdeflectedorautomated

Reduce

ServiceHandleTime

UpskiIItheWorkforce

DefIect

InteractionVolume

20%-40%handletimereduction

30%-50%laborcostreduction

50%-80%interactionsdeflectedorautomated

Understand

toInformDeflection

KeyAIEnabIer

FORCEMULTIPLIERS

PRIMARY

DEFLECT

INTERACTIONVOLUME

1

AIVirtuaIAgents

AI-poweredvoiceandchatagentsthatdeliver

intelligentself-servicetoresolvecustomerinquiriesend-to-end.

TheseAgenticbotsuseconversationalAIand

businessrulestounderstandintent,retrieve

information,andcompletetaskstoreduceliveagentvolumewhileimprovingspeedandconsistency.

KEYTECHNOLOGYENABLERS

SPEECH-TO-TEXT/TEXT-TO-SPEECHMODELS

CONVERSATIONALAI&LLMENGINESFORDIALOGGENERATION

CONTINUOUSLEARNINGLOOPSFORINTENT&RESPONSEOPTIMIZATION

INTENTCLASSIFICATION&JOURNEY

ORCHESTRATIONINTEGRATEDWITHCRM/CCAAS

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WHATTHISUNLOCKS

•Efficiency&Deflection|Agenticself-serviceautomatesroutinecallsandchats,reducinglive-agentvolumeandqueuetime

•Always-OnService|24×7servicesupportisavailableacrosschannelswithoutincreasingstaffingorcost

•Consistency&Accuracy|Responsesaregroundedinenterprisedataandbusinessrulesdeliverreliableexperienceseverytime

•LowerCosttoServe|Automationreducesper-interactioncostscomparedwithtraditionalagentsupport

POTENTIALPERFORMANCEIMPACT1

50%-80%

InteractionDeflection/Automation

Reducedaverageresponsetime

Higherfirstcontactresolution

Reducedcostperinteraction

SUGGESTEDACTIONS

•Designacomprehensiveintentmodelandknowledgeintegrationforstrongcontainment

•Definefallbackpathsandseamlessescalationforcomplexrequests

•Implementstrictpromptguardrailstoavoidhallucinationandmaintainbrandvoice

•Continuouslyreviewandtestconversationflowsfordeflectioneffectiveness,experiencequality,andgapsintrust

COMPLEXITY&RISKPROFILE

COMPLEXITY

Medium-High

(CombinesLLMdialoguedesign,CRMsystems,andtestingof

autonomousbehaviors)

EFFORTLEVEL

High

(Requirestrainingdatasets,governancesetup,and

intenttaxonomydesign)

RISKLEVEL

Medium

(CXandbrandriskif

guardrailsandfallbacksarenotproperlyimplemented)

1.Deloitteexperience

FORCEMULTIPLIERS

PRIMARY

REDUCESERVICEHANDLETIME

2

AIAgentAssist

(copilot)

AIcopilotsworkwithhumanserviceagentsinrealtimetomakethemfaster,smarter,andmore

consistent.

Theseassistiveagentslistentoorreadlive

interactions,retrieverelevantknowledge,summarizekeydetails,andrecommendnext-bestactions,

reducinghandletimeandwrap-upworkwhileimprovingqualityandcompliance.

KEYTECHNOLOGYENABLERS

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REAL-TIMETRANSCRIPTION&NATURAL-LANGUAGEUNDERSTANDING(NLU)

RETRIEVAL-AUGMENTEDGENERATION(RAG)

EMBEDDEDCOPILOTSINCRM/CCAASSYSTEMS

PROMPT-ENGINEERINGANDDETERMINISTICLOGIC

SENTIMENTANALYSIS+AUTO-SUMMARIZATION+WORKFLOWAUTOMATION

WHATTHISUNLOCKS

•Efficiency&Speed|Agenticsupportreduceshandletimebysurfacingcontextuallyrelevantinformationandsuggestedactionsduringcalls

•Quality&Consistency|Responsesaregroundedinverifiedknowledgesources,improvingFCRandcustomersatisfaction

•Productivity|Automateswrap-uptasksanddataentry,reducingafter-callworkloads

•Trust&Compliance|Built-inpromptguardrailsandhumanoversighthelpmitigatehallucinationandcreateAIoutputsthatareexplainable,

compliant,consistent,andsupportconfidentadoption

POTENTIALPERFORMANCEIMPACT1

>10%

FasterAgent

Training&

Proficiency

50%-80%

ReductioninAverage

HandleTime

>5%

Increasein

FirstContact

Resolution

SUGGESTEDACTIONS

•ValidateknowledgebaseaccuracyandupdatecadencetomaintainAIgrounding

•Embedgovernance,privacy&securitymeasuresforinteractiontranscript

•InvestinchangemanagementandUXtodriveagentadoptionandtrust

•Establishcontinuouslearningloopstooptimizepromptlogicandoutputaccuracy

COMPLEXITY&RISKPROFILE

COMPLEXITY

Medium

(RequiresintegrationacrossCRM,LLM,andknowledgesystems)

EFFORTLEVEL

Medium

(Buildphaseinvolvescontextandknowledgeorganizationsetup)

RISKLEVEL

Low-Medium

(Governedthrough

guardrails,review,&

testingframeworks)

FORCEMULTIPLIERS

PRIMARY

UPSKILL

THEWORKFORCE

3

AILanguageTransIation&AccentReduction

AItranslationandaccentreductionremoves

communicationbarriers,enablesgloballydistributedteamstodeliverconsistenthigh-qualitysupport,

acceleratesresolutionsandcreatesascalableandtrustedcustomerexperience.

KEYTECHNOLOGYENABLERS

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SPEECH-TO-TEXT/TEXT-TO-SPEECHMODELS

NEURALMACHINETRANSLATION(NMT)

ACCENTNORMALIZATION&VOICECONVERSIONMODELS

REAL-TIMESPEECHENHANCEMENT&NOISESUPPRESSION

LOW-LATENCYSTREAMINGINFRASTRUCTURE

WHATTHISUNLOCKS

•HigherQuality|Clear,accuratecommunicationacrosschannelsimprovescustomerunderstandingandsatisfaction

•GreaterEfficiency|Fasterresolutionsandreducedhandletime

•GlobalScale|Enablesatrulyglobalmultilingualworkforce

•SmarterOperations|Standardizedlanguagedataenhancesanalytics,QA,andautomationaccuracy

POTENTIALPERFORMANCEIMPACT1

Reducedaveragehandletime

Highlyskilledworkforce

Cheapercostperinteraction

30%-50%

Improvedefficiency

SUGGESTEDACTIONS

•Establishhighqualityaudioanddiverselanguagemodels

•Integratetightlywithexistingcontactcenterplatformsforseamless,real-timeuseacrosschannels

•Implementstrictguardrailstoavoidhallucinationandmaintainbrandvoice

•Maintainlowlatencyperformanceandstrongprivacycontrol

•Continuallyimprovesystemforbetterefficiency

COMPLEXITY&RISKPROFILE

COMPLEXITY

Medium-High

(IntegrateAiintoexistingtelephony,CCaaSandagentsystems)

EFFORTLEVEL

High

(Requirestrainingagents,

governancesetup,&operationalchangemanagement)

RISKLEVEL

Medium

(CXandbrandriskifguardrailsandcompliancestrategiesarenotproperlyimplemented)

PRIMARY

FORCEMULTIPLIERS

4

UPSKILL

THEWORKFORCE

AIProactive

OutreachforIssueResolution

Utilizingself-healingAItoproactivelydetectissues,requestserviceandconductoutreachtocustomerstoresolveissuesbeforetheybecomeacall.

Addressingissuesearlyandofferingtailoredsolutionsdeliverssmootherexperiences,fasterresolutions,

andefficientserviceoperations.

KEYTECHNOLOGYENABLERS

PREDICTIVEANALYTICS&ANOMALYDETECTIONMODELS

OMNICHANNELDELIVERYINFRASTRUCTURE

JOURNEYORCHESTRATION&AUTOMATIONENGINES

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REAL-TIMESPEECHENHANCEMENT&NOISESUPPRESSION

WHATTHISUNLOCKS

•ReducedInboundContacts|Issuesareresolvedbeforecustomersneedtoreachouttoservicecenters

•CustomerTrust|Timelyoutreachdemonstratesproactiveness,care,andreliability

•PersonalizedCustomerJourney|Outreachtailoredtobehaviorandcontextincreasesengagementandsatisfaction

•EfficientOperations|Humanagentscanfocusonhighervaluetasksinsteadofavoidableissues

POTENTIALPERFORMANCEIMPACT1

50%-80%

Reductionin

AverageHandleTime

Reducedaveragehandletime

FasterResolution

Cheapercostperinteraction

SUGGESTEDACTIONS

•Enablereal-timedatacapturetodetectissuesandtriggertimelyactions

•Validatepredictivemodelswithrealcustomerscenariostolimitfalsealertsorunnecessaryoutreach

•Implementstrictguardrailsfortone,accuracyandprivacytolimithallucinationandmaintainbrandvoice

•Continuallymonitorperformanceandrefinemodelsbasedonoutcomesandtrustgaps

COMPLEXITY&RISKPROFILE

COMPLEXITY

Medium-High

(IntegrateAiintoexistingtelephony,CCaaS)

EFFORTLEVEL

High

(Predictivemodelinganddataaccuracyandsignalquality)

RISKLEVEL

Medium

(CXandbrandriskifguardrailsandcompliancestrategiesarenotproperlyimplemented)

PRIMARY

FORCEMULTIPLIERS

5

UNDERSTAND

SERVICELEVERS

AIContinuous

KEYENABLERFOROTHER

LEVERS

IntentAnaIysis&ChannelOptimization

Establishongoingunderstandingofinteraction

driversacrosschannelstodefinetheoptimal

handlingapproach,creatingafeedbackloopofreal-timeagentprocessimprovements,customer&

productinsights,andintentrecognitiontobuild

continuousagentperformanceimprovementsandeffectiveAIautomations.

KEYTECHNOLOGYENABLERS

REAL-TIMEINTENTDETECTIONMODELS

DYNAMICROUTINGENGINES

BEHAVIORALANALYTICS&JOURNEYTRACKING

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FEEDBACK&OPTIMIZATIONLOOPSYSTEMS

WHATTHISUNLOCKS

•LowerOperationCost|Directingsimpleinteractionsto

automatedchannelsfreeshumanagentsforhighervaluetasks

•GreaterEfficiency|Intentdrivenroutingminimizesbackandforth

•StandardizedExperience|Overallimprovedqualityinserviceandreducedeffortfromthecustomer

•ContinuousImprovement|AIlearnsfromeveryinteraction,makingroutingsmarterovertime

POTENTIALPERFORMANCEIMPACT1

Reducedaveragehandletime

Reducedeffortfromcustomers

Cheapercostperinteraction

SUGGESTEDACTIONS

•Validateintentmodelswithrealcustomerscenariosbeforescaling

•Desi