2025年未来服务：智能体验时代报告-

The

FutureofServiceTHEAGEOFINTELLIGENTEXPERIENCEFebruary2026UnIockingNewRevenue

Streams

withAIinServiceThe

Next

Layer

ofIntelligence|

IncrementaI

AIOpportunitiesThe

New

Service

TechnoIogyArchitectureThe

Human

Dimension|

RedefiningtheWorkforceofServiceFromVision

to

VaIue

|

TheAI

ServiceTransformation

RoadmapThe

FutureofService|

TheAge

ofIntelligent

ExperienceTheAIServiceVaIueMap

|WhereAI

Creates

Value

inServiceThe

Economicsof

AITheAILeversPoweringEfficiencyinthe

New

Contact

CenterDriving

ROIwithAIEfficiencyinFieIdServiceCONTENTS010203040506070809102|

Copyright

©

2026

Deloitte

DevelopmentLLC.All

rights

reserved.EXECUTIVE

SUMMARY

TheAgeofInteIIigentExperienceis

upon

us.

Customer

service

is

onthe

brink

of

its

most

profound

reinvention

in

decades—

anAI-firstfuturewhere

everyinteractionisfaster,smarter,anddeepIypersonaIized.Technology

hasfinally

reachedcapability

levelswhere

it

can

addressthe

most

complex

customer

needswhilesimultaneously

enablingthe

efficiencies

required

oftoday'scontact

centerandfieldservice

business

leaders.Wewill

explore

how

business

leaders

can

harnesstoday’s

opportunitiesto

reshape

and

radicallytransformthe

customerexperiencewith

anAI-first

approach.

The

Future

ofServiceshouldsee

it

shiftfrom

cost-center

operationstovalue-drivenexperience

ecosystems

whereAI

becomesthe

engine

forbothempathyand

efficiency.We’lltake

a

look

at

howthistransformation

is

not

only

redefiningtheworkforce

byshifting

rolesfrom

reactiveserviceagents

to

proactive

knowledge

curators

andAI

collaborators,

but

also

creating

new

pathwaysfor

inteIIigentrevenue

generationthrough

predictive

insights

andhyper-personaIizedengagement.

Lastly,we’ll

explore

howthe

convergence

ofdata,

automation,

and

human-AI

collaboration

is

creating

new

architecture

dependenciesthat

demandtrust,transparency,

and

unified

data

strategiesto

power

intelligentcustomer

experiences.Wewill

deliver

a

clearvisionfor

building

efficient

customerservicethat

continuously

learns,

evolves,

and

delights,

culminating

in

a

roadmapfor

thriving

intheAgeofInteIIigentExperience

where

humansareheroes,

andAIdoes

therest.3|Copyright©

2026

Deloitte

DevelopmentLLC.

All

rights

reserved.Ifyou’re

only

optimizing

people,you’realreadybehind.The

next

decade

belongstothosewho

optimize

serviceinteIIigence.4|Copyright©

2026

Deloitte

DevelopmentLLC.

All

rights

reserved.TH

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F

UTU

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F

S

E

RV

I

C

ETHE

AGEOFINTELLIGENTEXPERIENCE5|Copyright©

2026

Deloitte

DevelopmentLLC.

All

rights

reserved.6

|

CopyrightAI

capabilities

now

drive

meaningfuI

impactthrough

service

that

is:

AUTONOMOUSAI

understands

requests,

makes

decisions,andcompletes

tasksend-to-endinrealtime.

PROACTIVEAI

understandsintentand

anticipatescustomer

needs

before

they

are

expressed.

HYPER-PERSONALIZEDAI

tailorsinteractions

to

the

individualcustomers’

history,preference,

andcontext.

SCALABLEAIhandlesmultiple

interactionssimultaneously.ofcontactcenter

leaders

are

planning

touseagentic

AI

by

endof202611.

Global

Contact

Center

Survey(publ

ication

pending),

Deloitte

Digital,

202

6AUTONOMOUSPROACTIVEHYPER-PERSONALIZEDSCALABLE2

02

5+Automation

evolves

to

agentic,

empoweringsystems

to

sense,decide,

and

act,

resulting

inprocesses

thatareself-learning,self-improving,

andrequirelesshumanintervention.Costoptimization

(efficiency)andcustomer-centricity(experience)

come

together.Thethird

wave

of

serviceFrom

digitaltoagentic2

01

0Systemsmove

from

on-premisetothecloud,enabling

interoperable

dataandprocessautomation

which

createsmorepersonalizedcustomer

experiences.2

00

0Systems

anddataexiston-

premise,

resulting

insiloeddataandlimited

integration.45%OPEN,

CONNECTED

EFFICIENCY,

EXPERIENCE

INTELLIGENCEDeloitte

Development

LLC.

All

rights

reserved.6|Copyright©

2026WE

A

R

EHEREWave3Wave1Wave2Copyright2026

Deloitte

DevelopmentreservedCustomerserviceIeaders

facemounting

imperatives.AI

promises

a

boId,

transformationaI

response.In

the

newera

of

Intelligent

Experience,

humansandmachinesbecomeoneecosystemenabling

each

other.DRIVESERVICEEFFICIENCIESService

operations

costs

are

rising,

andtraditionalcostleverssuchasoffshoring,consolidation,andstandardizationarebecomingincreasinglyexpensiveasvolume

growsand

processes

remain

labor

intensive.ENHANCECUSTOMEREXPERIENCECustomersexpectfast,consistent,andpersonalizedsupportacrosseverytouchpoint,yettraditionalworkflows

arelimited,

creatinggapsinexperiencethat

impact

satisfactionand

loyalty.CREATENEWVALUEService

is

no

longerjust

a

cost

center;itisapotentialengine

forpredictiveinsights,

loyaltycreation,andrevenueexpansion>30%estimated

average

cost

reduction

enabled

byAI1#1priorityforcontactcenters

leaders11.2xmore

likelyforcustomers

tomake

repeat

purchases

when

theyhavesupportin

theirpreferredchannel2SERVICEIMPERATIVESINTHEAGE

OF

INTELLIGENT

EXPERIENCE1.

Global

ContactCenter

Survey

(publication

pending),

DeloitteDigital,2026|

2.TrustID

Brand

Index,

Deloitte,

20257|Copyright©

2026

Deloitte

DevelopmentLLC.

All

rights

reserved.TH

E

F

UTU

R

E

O

F

S

E

RV

I

C

ETHEAI

SERVICE

VALUEMAP8|Copyright©

2026

Deloitte

DevelopmentLLC.

All

rights

reserved.CopyrightDeloitte

DevelopmentLLCrightsV

A

L

U

E

D

R

IV

E

N

BY

A

IINCREASE

REVENUE

PER

INTERACTION

&

CROSS-

SELLCONVERSIONHow

do

Ioptimizeopportunities

to

enhance

thecustomerexperienceandunlock

newvaluethroughpersonalized

interactions?9|Copyright©

2026

Deloitte

DevelopmentLLC.

All

rights

reserved.Resolve

more

complex,

emotional,Deliver

hands-on

serviceataProvide

personalizedservicetoaand/orhigher-risk

inquiriescustomer’s

location,includingcustomeratthe

pointof

sale,throughliveagent

interactionsinstallation,

maintenance,repair,allowing

fordedicated,extendedenabled

bytechnology

toprovideainspections,orsupportofproducts,interactionsandhandlingofhigher

levelofexpertiseandequipment,orsystemsthroughasensitive

informationwhere

in-human

empathymobile,distributedworkforcepersonpresenceisrequired•

Live

human

support•Coordination

and

delivery

of•Physical

location,

in-person•Insourced/

outsourcedservice

at

customer’s

locationCONTACTFIELDIN-STORE/CENTERSERVICEIN-BRANCHToday’stechnologyadvancementsimpact

theentirespectrum

ofserviceP

R

I

MA

R

Y

F

U

N

C

T

I

O

NEnable

the

toolsandtechnology

neededtoresolve

high-volume,

transactionalinteractionsinthe

customer’s

preferredchannel

at

theirconvenience

withouttheneedfor

liveagent

interventionManagecustomerrelationshipsthroughoutthe

journey

tosupportsatisfactionandadoptionofproducts

andserviceswhile

identifyingopportunitiesforexpansionthrough

renewalsandcross-selling/

upsellingDEFLECT

INTERACTION

VOLUME

&

REDUCECUSTOMEREFFORTREDUCE

HANDLETIME

&

REPEATSERVICEINTERACTIONSM

O

D

A

L

IT

Y•

In-product

/

in-app•Omnichannel

virtual

assistants•Web

/

mobileHow

do

I

improve

channelconvenience

andfunctionalityto

reduce

the

need

for

live

interactions?How

do

I

deliverexpertisequickly

andaccurately

when

it’s

needed

most?•Pre-

and

post-

sale

supportandaccount

management321CUSTOMER

SUCCESSSELF-SERVICES

E

R

V

I

C

E

C

A

PA

B

I

L

I

TYBiggestOpportunity

AreasWhileAI

impactsthe

entireservice

ecosystem,severalcapabilitiespresentsignificant

opportunities

forcreating

vaIueLive

VoiceLive

MessagingEmail

&

Ticket

SupportChannel

ManagementAgentAssistService

Delivery

ModelSupporting

Operations

(e.g.,

WFM/

QA)Telemetry

&

DiagnosticsWork

Order

ManagementScheduling

&

DispatchMobileTechnician

EnablementAR/VR

RemoteAssistancePredictive

MaintenanceOffering

ManagementCustomer

Lifecycle

ManagementOperations

&

EnablementCustomer

IntelligenceRetention

ManagementKnowledge

ManagementWarranty&

Contract

Management

ENABLERS

Parts

&

Inventory

ManagementWebService

DeckGovernance&

SecurityCustomer

Journey

DesignDataArchitecture&

IntegrationPOS

IntegrationProactive

NotificationsChatbotKnowledge

Base

/

FAQ

ManagementAnalyticsCRM/

Customer

DataTalent

&TrainingCross-Sell/

Upsell

EngineCase

ManagementSelf-HealingMultimodalSocial

MediaBusiness

ManagementAIOpportunityHighMediumLowIVR

/IVAMobile

/

In-Product

SupportCommunity

Forums/

Peer

SupportRoute

Optimization

IN

STORE/

INBRANCHAppointment

SchedulingInventory

Management

&

VisibilityFeedback

&

ExperienceCapture

CUSTOMER

SUCCESS10|Copyright©

2026

DeloitteDevelopment

LLC.

All

rights

reserved.

CONTACT

CENTER本报告来源于三个皮匠报告站（）,由用户Id:619989下载,文档Id:1150604,下载日期:2026-03-11FIELD

SERVICESELF-SERVICETH

E

F

UTU

R

E

O

F

S

E

RV

I

C

ETHEECONOMICS

OF

AI11|Copyright©

2026

DeloitteDevelopment

LLC.

All

rights

reserved.Copyright2026

Deloitte

reservedInvestinginadvancedAIservicecapabilitiesreducesoverallservicecost.12|Copyright©

2026

DeloitteDevelopment

LLC.

All

rights

reserved.TECHNOLOGYHANDLETIME(CRM,

Telephony,functionallicenses,ongoingmaintenance)Today,thecostoflabordrives

the

economics

of

serviceS

E

RV

ICEC

OSTBR

EA

K

DOW

NTO

DAY

55%-70%LABORCOSTS15%-20%TECHCOSTS10%-30%OVERHEAD&

OTHERCOSTSVOLUME(human-handled)•

Quality,Compliance

&

Rework•Spare

Parts

/

Inventory•

SupportingFunctions

(e.g.,WFM,

Travel/

Logistics)•

Facilities•…and

more…Handletime

is

pushed

up

asAIhandles

more

complexcalls,butpusheddownby

AI

copilotshelpinghuman

agentsI

M

PA

C

T

Technology

costsincreasewith

theaddition

of

AI

capabilitiesacrosstheecosystemLabor

costsdecreasewith

AI

enabling

increased

low-cost

countryresourcingOther

costsdecreaseas

AIunlocks

back

officeefficiencyUtilizationincreasesas

AI

tools

improveagent

efficiency(includingtravel

/logistics

for

fieldservice)TOTALOPERATINGCOSTVolume

tohuman

agentsdecreasesOVERHEAD&

OTHERCOSTSHuman

CostPer

InteractionUTILIZATIONLABORRATEWithAItechnology,the

driver

ofservicecosts

movesfrom

scalingwith

licensecoststo

scaIingwithmodeI

consumption.Deploying

moreadvancedAItechnology

inservicedrivesupbenefits

whiIereducing

cost

to

serveEXPERIENCE,

LOYALTY,&TECH

UPSIDEImproved

serviceenhancescustomerexperience,drivingloyalty,

while

unlocking

otherbenefitsthroughextensionsof

AIfoundation

cross-enterpriseREVENUEUPLIFTMoreadvancedtech(AI)

reducesfriction

leading

to

improvedconversion

andretentionratesWHAT

DRIVESTHEVALUE?SERVICECOSTSAVINGSTech

expense

increaseswithmoreadvancedcapabilities

but

is

balanced

bytheabilitytohandlethe

increased

volumeof

automated

interactionsADDITIONALBENEFITSSALESCONVERSION,UPSELL,CROSS-SELLSALESCONVERSION,UPSELL,CROSS-SELLFRONTLINE

LABOR

COSTSADDITIONALBENEFITSTECHCOSTS10%-25%potentialrevenueuplift30%-60%potentialcost

savingsOVERHEAD&

OTHERCOSTBASELINEVALUEAI-ENHANCEDVALUEOVERHEAD&

OTHERCOSTSFRONTLINE

LABOR

COSTSTECHCOSTSCOS

TVALUEOver280xdecreaseinAIconsumption

costs(“inference

costs”)

in

thelast

two

years

1THE

TIMETOINVEST

INADVANCEDAICAPABILITIES

ISNOWAIcapabiIitieshaveimproveddramaticaIIyas

the

cost

of

AI

continuesto

fallKEY

●

AICAPABILITY

●AI

CONSUMPTION

COST14|Copyright©

2026

DeloitteDevelopment

LLC.

All

rights

reserved.

1.“The2025AI

index

report,”StanfordInstitutefor

Human-CenteredAI,

2025.Complex

Multi-task

ResolutionComplexConversationalResolution&

Routing$$$$$$$$$ConversationalBasic

Resolution

&

RoutingDeterministic$$$AgenticAgent-to-Agent

ResolutionSupervisor

EquivalentWEAREHERETIMEHORIZONSimple$$$TH

E

F

UTU

R

E

O

F

S

E

RV

I

C

ETHE

AILEVERSPOWERINGEFFICIENCYINTHE

NEW

CONTACT

CENTER15|Copyright©

2026

DeloitteDevelopment

LLC.

All

rights

reserved.Augment

humanagentswithreal-

time,

next-best-actioncoachingandsentimentanalysis,

rapid

smartsearchforknowledge

retrieval,automatednote-taking

andsummarization

across

channels

forcontext

retention,

andguidedworkflowsforcomplex

processes.Drive

lower

labor

costs

andincrease

utilizationwithAIthat

automatically“upskills”everyhuman

agent

into

a

multilingualexpertwith

real-time

translation

&

accent

reduction.Utilize

self-healing

AItoproactively

detect

issues

requiringservice

and

conduct

outreachto

customers

to

resolve

issuesbefore

it

becomes

a

call.AICONTINUOUSINTENT

ANALYSIS

&CHANNELOPTIMIZATIONInvestingacrossdifferentgenerativeandagenticAIcapabilitiescan

potentiallycreate50%

efficiency

across

contact

center

operationsReduceService

HandleTimeUpskiII

theWorkforceDefIectInteractionVolume20%-40%handle

time

reduction30%-50%labor

costreduction50%-80%interactions

deflected

or

automatedEstablish

ongoing

understanding

ofinteractiondriversacrosschannelsto

definetheoptimalhandling

approach,

creating

afeedback

loopofreal-time

agent

process

improvements,customer

&

product

insights,

andintent

recognitionto

build

continuous

agent

performance

improvementsand

effectiveAIautomations.PRIMARYFORCE

MULTIPLIERSImplement

anAI

agent

capable

ofhandling

voice

and

text/

chatchannels

to

deliver

end-to-endself-service

resolution.E

X

P

E

C

T

E

D

V

A

L

U

E

Understandto

Inform

DeflectionKeyAIEnabIerAIPREDICTIVE&PROACTIVE

OUTREACHFORISSUERESOLUTIONAILANGUAGETRANSLATION

&ACCENTREDUCTION50%-80%interactions

deflected

or

automatedDefIectInteractionVolume16|Copyright©

2026

DeloitteDevelopment

LLC.

All

rights

reserved.AIAGENT

ASSIST(COPILOT)AIVIRTUAL

AGENTS43251rights

reservedPRI

MARYDEFLECTINTERACTIONVOLUMEAI

VirtuaIAgentsAI-powered

voice

and

chat

agents

that

deliverintelligent

self-service

to

resolvecustomer

inquiriesend-to-end.TheseAgentic

bots

use

conversationalAI

andbusiness

rules

to

understand

intent,

retrieveinformation,

and

completetasksto

reduce

liveagent

volume

while

improvingspeed

and

consistency.KEY

TEC

HNOLOGYENABL

ER

SSPEECH-TO-TEXT/TEXT-TO-SPEECHMODELSCONVERSATIONALAI&LLMENGINES

FOR

DIALOGGENERATIONCONTINUOUS

LEARNINGLOOPS

FORINTENT

&RESPONSEOPTIMIZATIONINTENTCLASSIFICATION&JOURNEYORCHESTRATION

INTEGRATEDWITHCRM

/

CCAAS17|Copyright©

2026

DeloitteDevelopment

LLC.

All

rights

reserved.W

HA

T

T

H

I

S

U

N

L

O

C

K

S

•Efficiency&

Deflection

|Agentic

self-service

automatesroutine

calls

and

chats,

reducing

live-agentvolume

and

queue

time•Always-OnService

|24

×

7

service

support

is

available

across

channels

without

increasing

staffing

orcost•Consistency&

Accuracy

|Responses

are

grounded

in

enterprisedataand

business

rulesdeliver

reliable

experiencesevery

time•LowerCosttoServe

|Automationreduces

per-interaction

costscomparedwith

traditional

agent

supportPOTEN

T

I

AL

P

ERFORMANC

E

IM

PACT1

SUGGESTED

AC

TIO

NS

•Design

a

comprehensive

intent

model

and

knowledge

integration

forstrongcontainment•Definefallback

paths

andseamless

escalationfor

complex

requests•Implement

strict

prompt

guardrailsto

avoidhallucination

and

maintainbrand

voice•Continuously

review

andtest

conversation

flows

fordeflection

effectiveness,

experience

quality,

and

gaps

intrustCOMPLEXITY

&

RISK

PROFILE

COMPLEXITY(Combines

LLMdialoguedesign,

CRMsystems,andtestingofautonomous

behaviors)EFF

ORT

LEVEL(Requirestrainingdatasets,governance

setup,

andintenttaxonomy

design)RISK

LEVEL(CX

and

brand

risk

ifguardrailsand

fallbacks

are

not

properly

implemented)Higherfirst

contact

resolutionReducedcost

per

interaction50%-80%Interaction

Deflection/AutomationReducedaverage

response

timeMedium-HighHighMedium11.

Deloitte

experienceFORCE

MULT

IPLIERSrights

reservedPRI

MARYREDUCESERVICEHANDLETIMEAI

Agent

Assist(copilot)AI

copilots

work

with

human

service

agents

in

realtime

to

make

themfaster,

smarter,andmoreconsistent.These

assistive

agents

listento

or

read

liveinteractions,

retrieve

relevant

knowledge,summarize

key

details,and

recommend

next-best

actions,reducing

handle

time

andwrap-upworkwhile

improving

qualityand

compliance.KEY

TEC

HNOLOGYENABL

ER

SREAL-TIMETRANSCRIPTION

&NATURAL-LANGUAGEUNDERSTANDING(NLU)RETRIEVAL-AUGMENTEDGENERATION(RAG)EMBEDDEDCOPILOTSINCRM/CCAAS

SYSTEMSPROMPT-ENGINEERING

ANDDETERMINISTIC

LOGICSENTIMENTANALYSIS+AUTO-SUMMARIZATION+WORKFLOWAUTOMATIONW

HA

T

T

H

I

S

U

N

L

O

C

K

S

•Efficiency&Speed

|Agentic

support

reduces

handle

timeby

surfacing

contextually

relevant

information

andsuggested

actions

during

calls•Quality&Consistency|Responsesaregroundedinverifiedknowledge

sources,

improving

FC

R

and

customer

satisfaction•Productivity

|Automates

wrap-up

tasks

and

data

entry,

reducing

after-

call

workloads•Trust&Compliance

|Built-in

prompt

guardrails

and

human

oversighthelp

mitigate

hallucination

and

createAI

outputsthat

are

explainable,compliant,

consistent,

and

support

confident

adoptionS

U

G

G

E

S

T

E

D

A

CT

I

O

NS

•

Validate

knowledge

base

accuracy

and

update

cadence

to

maintainAI

grounding•Embedgovernance,

privacy

&

security

measures

for

interactiontranscript•Invest

in

change

management

and

UX

to

drive

agent

adoption

and

trust•Establish

continuous

learning

loops

to

optimize

prompt

logic

andoutput

accuracyCOMPLEXITY

&

RISK

PROFILE

POTEN

T

I

A

L

PERFORMANCE

I

M

P

ACT1>10%FasterAgentTraining&Proficiency50%-80%Reduction

inAverageHandleTime>5%Increase

inFirst

ContactResolutionCOMPLEXITY(Requires

integrationacrossCRM,LLM,andknowledge

systems)EFF

ORT

LEVEL(Build

phase

involvescontext

and

knowledgeorganization

setup)RISK

LEVEL(Governed

throughguardrails,review,&testingframeworks)18|Copyright©

2026

Deloitte

DevelopmentLLC.

All

rights

reserved.

1.

Deloitte

experienceMediumMediumLow-Medium2FORCE

MULT

IPLIERSrights

reservedPRI

MARYUPSKILLTHE

WORKFORCEAI

Language

TransIation

&

AccentReductionAItranslation

and

accent

reductionremovescommunication

barriers,

enables

globally

distributed

teamsto

deliver

consistent

high-quality

support,accelerates

resolutionsand

creates

ascalable

and

trustedcustomer

experience.KEY

TEC

HNOLOGYENABL

ER

SSPEECH-TO-TEXT/TEXT-TO-SPEECHMODELSNEURALMACHINETRANSLATION

(NMT)ACCENT

NORMALIZATION&VOICECONVERSIONMODELSREAL-TIMESPEECHENHANCEMENT&NOISESUPPRESSIONLOW-LATENCYSTREAMING

INFRASTRUCTURESUGGESTED

AC

TIO

NS

•Establish

high

quality

audio

and

diverse

language

models•Integrate

tightly

with

existing

contact

center

platformsfor

seamless,

real-time

use

acrosschannels•Implement

strict

guardrails

to

avoidhallucination

and

maintainbrand

voice•Maintain

low

latency

performance

and

strong

privacy

control•Continually

improve

systemfor

betterefficiencyCOMPLEXITY

&

RISK

PROFILE

W

HA

T

T

H

I

S

U

N

L

O

C

K

S

•Higher

Quality

|Clear,

accurate

communication

across

channelsimproves

customer

understanding

and

satisfaction•Greater

Efficiency

|

Faster

resolutions

andreduced

handle

time•GlobalScale

|Enablesa

truly

global

multilingual

workforce•Smarter

Operations

|Standardized

language

data

enhancesanalytics,

QA,andautomation

accuracyPOTEN

T

I

AL

P

ERFORMANC

E

IM

PACT1

COMPLEXITY(Integrate

Aiintoexistingtelephony,

CCaaSandagent

systems)EFF

ORT

LEVEL(Requirestrainingagents,governancesetup,

&operationalchange

management)RISK

LEVEL(CX

and

brand

risk

if

guardrailsand

compliance

strategies

are

not

properly

implemented)Highly

skilled

workforceCheapercost

per

interaction19|Copyright©

2026

Deloitte

DevelopmentLLC.

All

rights

reserved.

1.

Deloitte

experience30%-50%Improved

efficiencyReducedaverage

handle

timeMedium-HighHighMedium3FORCE

MULT

IPLIERSrights

reservedFORCE

MU

LT

IPLIERSUPSKILLTHE

WORKFORCEAI

ProactiveOutreach

for

IssueResolutionUtilizing

self-healing

AI

to

proactively

detect

issues,

request

service

and

conduct

outreach

to

customers

to

resolve

issues

before

they

become

a

call.Addressing

issuesearly

and

offering

tailored

solutions

delivers

smoother

experiences,

faster

resolutions,and

efficient

service

operations.KEY

TEC

HNOLOGYENABL

ER

SPREDICTIVEANALYTICS

&ANOMALY

DETECTION

MODELSOMNICHANNELDELIVERYINFRASTRUCTUREJOURNEYORCHESTRATION&AUTOMATION

ENGINESREAL-TIMESPEECHENHANCEMENT&NOISESUPPRESSIONW

HA

T

T

H

I

S

U

N

L

O

C

K

S

•ReducedInboundContacts

|

Issues

areresolved

before

customers

need

to

reach

outto

service

centers•Customer

Trust

|Timely

outreach

demonstrates

proactiveness,care,and

reliability•PersonalizedCustomer

Journey

|Outreach

tailored

to

behaviorand

context

increases

engagement

and

satisfaction•Efficient

Operations

|Human

agents

can

focus

on

higher

valuetasks

instead

of

avoidable

issuesPOTEN

T

I

A

L

PERFORMANC

E

I

M

PACT1