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The
new
rules
ofplatform
strategy
in
the
age
of
agentic
AIFiveprioritiestohelpcompaniesalign
people,platformsandintelligenceTheauthorswouldliketothankChristianLennerzandJordiParisfortheir
contributions.
ThenewrulesofplatformstrategyintheageofagenticAI
2Frédéric
BrunierSenior
Managing
Director—Global
Lead–
TechnologyStrategyandLead–
Strategy,
EMEAFrédéricisAccenture’s
LeadforTechnology
Strategy.Heworkswithmanagementandexecutiveboardstodrivevaluefromaligning
andleveragingtechnologyandAItodeliver
corporateandbusinessstrategyoutcomes.Thisenablescompaniestogethigher
ROIfrominvestmentintechnologyandAIwhilestrengtheningtheintersectbetweenbusiness,ITandecosystempartners.ChristopherRoarkSenior
Managing
Director—Global
Lead–
Cost&
Productivityand
Lead-Strategy,
AmericasChrisworkswithboardsand
management
teamstoshapegrowthstrategies,redesignoperatingmodelsanddriveenterprise-wide
costandproductivityreinvention.
Hiswork
helpsorganizationsmanagecomplexityandunlocknewvaluethroughAI,
data
and
platforms.SuryaMukherjeePrincipalDirector—AccentureResearchSuryaleadsglobalcloudand
platformsresearchatAccentureandoverseesthefirm’sTechnology
ResearchagendainEurope.
Hebringsmorethan
a
decade
ofexperienceadvisingenterprisesoftwarevendorsandglobalorganizationsontechnologyandplatformstrategy.AuthorsFordecades,enterpriseplatformshavepoweredmodernbusiness,runningfinance,humanresources(HR),supplychainandcustomermanagement.YetinanAI-firstworld,thatfoundationisfastbecomingobsolete.AgenticAIistransforminghowworkgetsdoneandhowvalueiscreated,
whilecustomerandcompetitivedynamicsaremovingfaster
thantraditionalplatformscanadapt.ManyorganizationsremainweigheddownbyduplicatedandcomplexsystemsbecausetheytreatAIandplatforms
asseparatedomains,pilotingtoolsinsteadofembedding
intelligenceintothecore.Theresultisfragmentation,inefficiencyandmissedopportunity.Tounderstandhowcompaniescanbreakfreefromthispattern,wesurveyedmorethan1,000executivesacross
12countriesand10industries.Thefindingsarestriking:companiesthataligntheirAI,platformandbusinessstrategiesoutperformpeersbyawidemarginonaverage,
doublingrevenuegrowthandincreasingprofitabilitybyupto37%.Theseleaderstreatplatformsnotasstatic
infrastructurebutaslivingsystemsofintelligence,continuouslylearning,adaptingandscaling.Theymodernizetheirdigitalcores,clarifyhowhumans,platformsandAIagentsworktogetherandreimaginehow
workitselfisstructured.Thegoalisnotreplacementbutreinvention,integratingpeople,platformsandintelligence
intoasingle,adaptivearchitecturethatacceleratesperformanceandgrowth.Inshort,theyareplayingbynewrules.Thisreportexploresthefiveprioritiesthatdefinethenextgenerationofplatform
strategyinanageofagenticAIsystems:•
Architect
for
the
future–Buildplatform-aware
infrastructurethatallowsAItoscaleseamlessly.•Design
a
fit-for-purpose
foundation
–Modernizethe
digitalcoreforagilityandreal-timeinsight.•
Articulate
theinterplay–Defineclearrolesforhumans,
platformsandagentstoensureorchestrationandaccountability.•Prepare
for
operatingmodelreinvention–Reimagine
howtheenterpriseoperatestounlocknewperformance.•
Transform
culture
–Equippeoplewiththetrust,fluency
andmindsettoleadinanAI-drivenenterprise.
ThenewrulesofplatformstrategyintheageofagenticAI
3Whenexecutedwell,theseprioritiesturnplatformstrategyintoasourceofgrowthanddifferentiation.Platformsevolve
fromsystemsofrecordtosystemsofaction,wherehumans,
platformsandagentsoperateinsynctodeliveroutcomesthatarefaster,smarterandmoreresilient.Thenextchapterofenterpriseplatformsisaboutfuture-readiness.Companiesthatalignarchitecture,intelligenceandtalentaroundAIwillnotonlykeeppacewith
change—theywilldefineit.Executive
summaryThe
case
for
platform
reinvention
5Two
forces
driving
change
71.AI-driventransformationofwork
82.Businessdemandsoutpacingplatforms10Platforms
evolve
from
tools
to
interaction
hubs
12The
alignment
gap:Fragmented
strategy,missed
potential
14Five
priorities
for
platform
strategy
in
an
AI-first
world
161.Architectforthefuture
172.
Designafit-for-purposefoundation
223.Articulatetheinterplay254.Prepareforoperatingmodel
reinvention305.Transformculture35Final
word:It’s
not
about
replacement.It’s
about
readiness
39About
theresearch
40
ThenewrulesofplatformstrategyintheageofagenticAI
4ContentsOur
research
underscores
the
urgency
forreinvention.
Inaglobalsurveyof
morethan
1,000executivesacross12countriesand10
industries,nearlyone
infive
believesomeoftoday’s
enterprise
platformswill
notsurvivetheonslaughtof
AI
inthe
nexttwoyears.The
logicthatoncedroveefficiency—prescribed
workflows,fixed
hierarchies,
rigiddata
models—no
longerfitsaworlddefined
by
autonomyand
learning.Asone
platformexecutive
putit,“Thefeaturesthat
made
platformsvaluablearetheonesAI
is
nowoutgrowing.”Reinventionbeginswithmodernization.Whenorganizationsconsolidatelegacysystems,standardize
dataandmovetomodular,cloud-basedarchitectures,
theycreatetheconditionsforscale.Fragmentedoperationsgivewaytoconnectedsystems.Manualworkbecomesautomatedflow.NewAItoolsplugin
seamlessly,deliveringinsightsandspeed.AI
hascapturedexecutiveattention
but
notyetenterprise
traction.Across
industries,companies
are
investing
heavilyin
pilotswhiletheircoresystemsremainfragmentedandinflexible.The
result:operationaldrag,datasilosand
limited
returns.Finance
teams
still
reconcile
mismatched
systemsmanually.
Business
leadersstill
makedecisionsonstaledata.
Newtoolsemerge
butcannotscale.Companies
expect
AI
to
deliver
transformation
while
still
relyingon
brittlefoundations.Enterprise
platforms
have
long
providedthestructurethat
makes
modern
business
possible.They
broughtstructure,standardizationandscale,poweringeverythingfrom
HRandfinancetosupplychain
and
customer
management:Oraclebecame
the
backbone
for
mission-criticalenterprise
data.Salesforcereshaped
sales
into
a
science.SAPdefined
how
businesses
ran.ServiceNowautomated
the
service
desk.Workdaypioneeredcloud-native
HRandfinance.ButinanAI-firstworld,those
same
systems
havebecomeconstraints.
Designedforstability,
notadaptability,they
nowslowthevery
progressAIpromises
to
accelerate.The
case
for
platform
reinventionAdobeturneddigitalmarketingintoacreativeengine.ThenewrulesofplatformstrategyintheageofagenticAI5KeytermsPlatforms
for
the
purpose
of
this
research
refer
to
the
software
used
bybusinesses
to
carry
out
day-to-day
business
activities
across
functions.These
include
enterprise
resource
planning(ERP),customer
relationshipmanagement,
HR,financial
management,supply
chain
managementand
marketingenablementsystems,aswellassmallerapplicationsforspecificbusiness
needs.Key
vendors
in
this
space
include
Adobe,Oracle,
SAP,
Salesforce,ServiceNow,Workday,amongothers.This
reportfocusesontheco-existenceandintegrationaspectsof
platformsand
AI.Embedded
AI
refers
to
AI
capabilities
integrated
into
existing
systems,platformsorworkflows,often
runninginthe
backgroundto
improveperformance,automationorinsights.Agentic
AI
denotes
AI
systems
designed
to
act
autonomously
or
semi-autonomouslytocompletegoals,oftenusing
reasoning,
planninganddecision-making.Thesesystemscanadaptovertimeand
mayworkcollaborativelywith
humansorotheragents—andtheycanexist
bothinsideenterprise
platformsorindependentlyacrossthem.13%revenuegrowthMorethandoublethatoftheir
peers37%increaseinoperatingprofitEquivalentto
roughly$1
billion
in
pre-taxearningsfortheaverageenterpriseTheimpactismeasurable.Alignmentturnsplatformsfromcostcentersintoenginesofgrowth.OuranalysisshowsthatcompaniesthataligntheirAI,businessandplatformstrategiesachieveonaverage:ThenewrulesofplatformstrategyintheageofagenticAI6Atitscore,platform
reinvention
involvestwointerdependentshifts.Thefirstistechnological:embeddingAI,especiallyagenticAI,intoandaroundplatforms.Thesecondisorganizational:rethinkinghowworkgetsdone.Thatmeansreshapingworkflows,
roles
anddecisionstomatchthespeedandintelligenceofmodernsystems.Together,theseshiftsredefinehowenterprisesoperate.Workbecomesadaptive,datamovesfreelyandsystemsevolvecontinuously.Thisistheessenceofplatformreinvention:replacingrigiditywithresponsivenessandturningplatformsintolivingsystems
of
intelligencethatscale
across
the
enterprise.Whendoneright,AIstopsbeinga
side
experiment
andbecomesthebackboneofperformance.Twoforcesnowmakethisreinvention
unavoidable:
AI
istransforminghowworkisdone,andbusinessexpectations
areoutpacingwhattraditionalplatformscandeliver.Two
forces
driving
changeThenewrulesofplatformstrategyintheageofagenticAI7The
riseofgenerativeandagenticAI
is
redefininghowworkisdone.
Intelligentsystems
cannow
performtasksthatonce
required
humanjudgment—from
resolvingserviceissuestomanagingfinancialclose
processes.AIis
no
longerjustanacceleratorofexistingworkflows;
it
isincreasingly
the
orchestrator
of
them.Thesetechnologies
bringautonomy,context-awareness
and
adaptability.Agents
can
rebalancesupplychainsin
realtime,generate
personalizedcustomer
offers
or
predict
machine
failures
beforetheyoccur.They
learnfromoutcomesandadjust
theiractionsonthefly—qualitiesthattraditionalplatforms,
builton
rigid
logicandsequentialprocesses,were
never
designed
to
handle.AI
agents
aren’t
justsuperchargingexisting
applications—they’re
creatingnewones.”—
Platformleader1.
AI-driven
transformation
of
workThenewrulesofplatformstrategyintheageofagenticAI8Case
studyHowLenovo
scaledengagement
with
AITomeetgrowingdemandforfaster,
morepersonalizedengagement,LenovousedAdobeExperiencePlatformandMicrosoft
CopilottoorchestrateAIacrossmarketing,customerserviceandinternalworkflows.Theeffortdelivered$11millioninefficiencysavingsanda12.5%
boostin
click-
throughrates—speedingexecutionandenablingnew
formsofengagementatscale1.Thisshiftraisesfundamentalquestionsforeveryenterprise:Routinetaskslikeinvoice
processingcan
beautomatedentirely.Complexissues,suchasethicaldecisionsorcustomerescalations,stillrequirehumanjudgment.
Increasingly,theanswerwillbehybrid:humansandagentsworkingintandem,each
amplifyingtheother.Modernagentsnotonlyexecuteinstructions—theyalsoreason,adaptandactindependentlywithindefinedboundaries.Whenfacedwithnewinformation,theylearnandimprove.
Indoingso,they
exposethelimitsoftraditionalplatformsand
highlight
theneedforsystemsthataredynamic,interoperable
andintelligent
bydesign.
ThenewrulesofplatformstrategyintheageofagenticAI
9Whatshouldbe
automated?Whatmustremainhuman?How
shouldpeopleand
AI
collaborate?WhileAIacceleratespossibility,businessexpectationsarerisingjustasfast.Marketsmove
faster,
customerexpectationsgrowsharperandcompetitiveadvantagehingesontheabilitytoadaptin
realtime.Yet
mostenterprisesstillusetheirplatformsprimarilyforefficiency.Ourresearchshowsthat74%oforganizationscontinuetofocusonproductivityasthemain
goal
of
theirplatformswhileonly60%viewthemasenginesofinnovation.Butthebarhasshifted.
Leading
companies
nowtreatplatformsasgrowthaccelerants—enablingpersonalizationatscale,cross-functionalagilityandinstantresponsivenesstomarketchange.Thenumberstellthestory:94%ofexecutivessaytheriseofagenticAIrequiresthemtorethinktheir
platform
strategiesandmorethanhalf(57%)
believe
it
demands
significantchangeorcompletereinvention.Someareevenaskingwhethertheyneedplatformsatall,
or
if
AIagentscouldreplacethementirely(Figure1).15%42%37%Wewillhaveto
overhaul
ourentireplatform
strategy
inlight
of
agentic
AI
capabilitiesAlot
of
changesto
our
platformstrategywill
be
requiredSomechangestoour
platformstrategywill
be
requiredWewon'thaveto
change
ourplatformstrategy
at
all
ThenewrulesofplatformstrategyintheageofagenticAI
102.Business
demands
outpacingplatformsHow
do
you
expect
yourplatform
strategy
willneed
to
evolveinresponse
to
agentic
AI?Source:Accenture“EnterpriseplatformstrategyintheageofagenticAI”survey,2025(N=
1,031)Figure1:Bigchangesahead本报告来源于三个皮匠报告站(),由用户Id:619989下载,文档Id:997988,下载日期:2026-03-1794%6%Theansweris
not
replacement,
butevolution.
Platforms
remainessentialfor
reliability,governanceandtransactionintegrity.
Butthey
must
now
hostembeddedintelligenceandworkseamlesslywithAIagentsthatoperateacross
multiplesystems.
Humans,in
turn,
moveinto
rolesofoversight,judgmentandorchestration—directinganenterprisethatis
bothintelligent
and
adaptive.Thefutureof
platformstrategywill
belongto
thosethatcan
balancethistriad—humans,platformsandagents—each
performingwhatitdoes
best,eachamplifyingthe
other.ThenewrulesofplatformstrategyintheageofagenticAI11AdobeintroducedExperiencePlatformAgentOrchestratorforbusinessestoactivateAIagentsincustomerexperiencesandmarketingworkflows.MicrosoftisexpandingCopilotacrossDynamicsand365apps,whileadvancingAzureAgentServiceandAutoGentopowermulti-agentorchestration.OracleembeddedAIacrossitscloud,usingAI4DataandOracleCloudInfrastructure’shigh-speed
network—buildingonitsdatabaseandinfrastructurestrengths.SalesforcelaunchedAgentforce,embeddingAIagentsacrosssales,serviceandmarketingtodeliveraunifiedagenticplatform.SAPintroducedJoule,whichitmarketsasanAIcopilotandagentorchestrator,embeddingagentsacrossitsERPsuitewithbusiness-contextawareness.ServiceNowintroducedpre-builtAIagentsforcustomerservice,HR,ITandmore—poweredbyWorkflow
DataFabric,whichconnectsagentstoreal-timeenterprisedata.WorkdayintroduceditsAgentSystemofRecordtomanagefleetsofAIagentslikeemployeesandlaunchedrole-basedagentswithconfigurableskillsacrossHR,financeandrecruitingworkflowsandagents.Enterprise
platformsareenteringa
newchapter.Once
designed
to
enforce
structure,they
are
nowexpected
to
deliver
adaptability.The
difference
isagentic
AI—systems
capable
of
reasoning,deciding
andactingwithautonomy.Asthesecapabilitiesmature,
platformsareevolvingfrom
passivesystemsof
recordintodynamicsystems
of
action.Platformvendorsare
movingfastto
embedagenticAIinto
their
industry/functional
offerings.
ThenewrulesofplatformstrategyintheageofagenticAI
12Platforms
evolve
from
tools
to
interactionhubsThese
developments
signal
a
profound
shift.Platformsare
no
longerjusttools—theyareecosystems
where
humans,agents
and
datainteractcontinuously.Agentscan
nowoperatewithinoracross
platformsdependingon
howenterprises
architect
their
systems.
In
ourresearch,66%oforganizationssay
they
relyprimarilyon
platform-nativeAIcapabilitieswhile
32%are
building
platform-agnosticagentsthatspan
multiplesystems(Figure2).Thefuturewill
be
hybrid,withagentsworkinginsideand
beyondthe
platform
boundary.66%32%
ThenewrulesofplatformstrategyintheageofagenticAI
13Withcapabilitiesprovidedby
platformsWith
platform-agnostic
capabilitiesNote:“Others”accountedfor1%referringtorespondentswhoeitherdidnot
know
or
chose
not
to
respond.Source:Accenture“EnterpriseplatformstrategyintheageofagenticAI”survey,2025(N=
1,031)Figure2:Platform-nativecapabilitiesremainthedominantpathforAIdeploymentHow
do
youprimarily
develop
and
deploy
AI
solutions?strategiesarenot
aligned.AI,platformandbusinessinitiativestoooftenmoveinparallelratherthaninsync.TeamspilotAI
toolsinisolation.Platforminvestmentsproceedwithoutclearlinkagetobusinesspriorities.Theresultisduplication,complexityandlowreturnsoninvestment.Only18%Just17%Morethan50%ofcompaniessaytheirAI,
platformand
businessstrategiesarefullyaligned.haveembeddedAIdeeplyintocorebusinessprocesses.remaintrappedin
narrowpilotsorisolated
use
cases.14The
alignment
gap:Fragmented
strategy,missedpotentialThisfragmentationleavescompaniesunabletoscaleAI’simpactacrosstheenterprise.Therootcauseisstructural.AIandplatformdecisionsareoftenmadebydifferentteams,funded
throughseparatebudgetsandguidedbydifferentmetrics.Inmanyorganizations,theCIOdrivesplatformmodernizationwhilebusinessleaderschase
AIexperimentation.Withoutaunifiedvision,botheffortsstall.Executivesweinterviewedwereclearontheconsequences.“IfyoudoAIasaseparateinitiative,”
oneglobaltechnologyleaderwarned,“itbecomes
veryexpensive.Unlessit’sembeddedinyouroverall
strategy,you’llneverrealizeitsvalue.”Asplatformsevolve,mostenterprisesOurresearchrevealsthescaleoftheproblem.faceadeeperchallenge:theirThenewrulesofplatformstrategyintheageofagenticAI14Thecostof
misalignmentis
high
butthe
reward
forfixingitis
higher.Companiesthat
align
these
three
dimensions—AI,
businessand
platform—achieveonaverage2.2x
higher
revenuegrowththanpeers(Figure3).Alignment
reduces
duplication,
improvesinnovationvelocityandstrengthensorganizationalfocus.The
pathforward
requiresdeliberateintegration.Business
strategy
must
define
the
outcomes.Platformstrategy
must
providethescaleanddatafoundation.AIstrategy
mustdeliveradaptabilityandintelligence.Whentheseelements
movetogether,
led
byanaligned
leadershipteam,companies
create
a
virtuous
cycle
of
innovationand
performance.The
message
is
clear:
success
with
AI
is
not
atechnologychallenge
butanalignmentone.Therealdifferentiatoris
howeffectivelya
companysynchronizesitsstrategy,systemsand
peopletodrivecontinuous
reinvention.How
well
alignedis
yourplatform
strategy
with
yourbroaderbusiness
strategy
and
your
AI
strategy?
Onlyconsiderwell/fullyalignedonboth.2.2X(+7
P.
p.
)Averagecompany
Platformsstrategywell/fullyaligned
with
businessPlatformsstrategywell/fullyalignedwithAI
strategy
ThenewrulesofplatformstrategyintheageofagenticAI
15Figure3:CompaniesthataligntheirplatformswiththeirbusinessandAIstrategygrowtheirrevenuemuchfasteronaverage13%10%Source:Financialanalysisof602publiccompanystatementsfromtheAccenture“Enterprise
platformstrategy
inthe
age
of
agenticAI”survey,2025
(N
=
1,031)1
.7x
(+4
p
.
p
.
)6%
ThenewofplatformstrategyintheageofAI
16Fivepriorities
forplatformstrategyin
an
AI-first
worldThenextchapterofplatformstrategyrequiresanintegrated,forward-lookingmindset.Thisisn’taboutabandoningplatforms
butevolvingthem.Changewillunfoldonmultiplefronts—platforms,
humansandagents—andpreparationmustreflectthatcomplexity.To
help
leaders
navigate
this
shift,
we
propose
five
key
priorities
for
building
anAI-ready,
future-fit
platform
strategy.1.2.3.4.5.ArchitectforthefutureDesigna
fit-for-purposefoundationArticulatetheinterplayPrepareforoperatingmodel
reinventionTransform
culture
ThenewrulesofplatformstrategyintheageofagenticAI
16MostenterprisesrelyonapatchworkofnativetoolslikeSAP'sJouleorthird-partymodels,suchasOpenAI
orAnthropic,andinternallybuiltagents.What’smissingisanarchitectureblueprintthattiesthemtogether.Nosurprise,then,that57%ofleaderscite
integrationwithexistingsystemsastheirtopriskin
scalingAI.ThewayforwardistotreatAIasasystem,notafeature.ThatmeansdesigningarchitecturethatdefineswhereAIlives,howitconnectstoplatforms,
howitaccessesdataandhowitsactionsaregoverned.Wecallthisnewmodelagenticenterprisearchitecture:adesignwherehumanexpertiseand
machineintelligencecollaborateseamlessly.1.
Architect
for
the
future:BuildanAI-ready,platform-awareinfrastructureAgenticAIisadvancingfast.Buttoooften,companiesaddnewtoolstooutdatedsystems.TheoutcomeisAIsprawl,fragmentedoperationsandlittlerealimpact.
ThenewrulesofplatformstrategyintheageofagenticAI
17Case
studyZurichInsurance:Designing
AI-ready
architecture
for
customer
engagementZurichhaslaunchedanAI-powered
CRMdevelopedbyitsanalyticsdivision,ZCAM,totransformhowcustomer-facingagentswork.Thesystemcentralizescustomerandpolicydataintoaunified
interface,
integrateswithOutlook
and
Salesfo
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