Intelligent

manufacturing

AblueprintforcreatingvaluethroughAI-driventransformation

KPMG.MaketheDifference.

KPMGInternational

/intelligentmanufacturing

Firstphase

Secondphase

Thirdphase

Keyconsiderations

Introduction

Ataglance

Researchfindings

Thetransformativeroleof

agenticautonomousagents

Buildingtheintelligent

manufacturingorganization

GuidingyourAI

transformation

Foreword

Artificialintelligence(AI)isreshapingeveryfacetofmanufacturing.Fromdesignto

production,supplychainstosales,and

workforcemanagement,AIisunlockingnewefficienciesandenablingsmarter,moreagileoperations.It’salsopoweringsustainability,helpingmanufacturersminimizewasteandoptimizeenergyuse.

Thepotentialisvast,butsoarethechallenges.AI

adoptionremainsfragmentedandfunctionallydriven.ManymanufacturersaredeployingAIinsilos—

productionfloorsareembracingAI-drivenautomationandpredictivemaintenance,whileback-office

functionsremainlargelyunintegratedandlacking

automation.ThisdisjointedapproachlimitsAI’sfullpotential,preventingtheindustryfromachievingtrueenterprise-widetransformation.

Thesectoralsopresentsastarkcontrastinmaturitylevels.Smartindustrialsareleading

thecharge,embeddingAIdeeplyintotheir

operations.MoretraditionalmanufacturersarestillexperimentingwithlocalizedAIusecases,hesitanttocommittofull-scaletransformation.Meanwhile,agenticAI,thenextfrontierinintelligenttools,waitsinthewings.

Byenablingself-optimizingsupplychains,autonomousproductionlinesandreal-timecoordinationacross

businessfunctions,agenticAIpavesthewayfor

atrulyintelligent,end-to-endmanufacturingmodel.Buttofullyrealizeitspotential,manufacturersshouldmovebeyondisolatedAIimplementationsand

embraceaconnected,enterprise-wideapproach.

Thisreportexploreshowmanufacturingleaders

canleverageAIasatransformativeforce.The

futurebelongstothosewhorecognizethatAIisnolongerjustaboutautomation.It’saboutautonomy,intelligence,integrationandanewmoreeffectivewayofworking.

TounlockthefullpotentialofAI,manufacturing

companiesshouldmovebeyondisolated

usecasesandreimaginehowintelligenceis

embeddedacrosstheenterprise.Thismeans

aligningAIwithstrategicvaluestreams,reshapingculturetoembraceexperimentationandagility,

anddesigningfortrust,transparencyandscale.Therealopportunityliesnotjustinsmarter

operations,butincreatingamoreconnected,adaptiveandvalue-drivenecosystem.99

JonathonGill

GlobalHeadofIndustrialManufacturingKPMGInternational

Foreword

?2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.Intelligentmanufacturing:AblueprintforcreatingvaluethroughAI-driventransformation|2

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Contents

02Foreword

04Introduction

06Ataglance

07Researchfindings

13Thetransformativeroleofagenticautonomousagents

19Buildingtheintelligentmanufacturingorganization

24Thefirstphase:EnablingmanufacturingteamswithAI

30Thesecondphase:EmbeddingAIintheflowofwork

34Thethirdphase:Evolvingyourecosystem

36Keyconsiderations

42KPMG:GuidingyourAItransformationwithexperience

Intelligentmanufacturing:AblueprintforcreatingvaluethroughAI-driventransformation|4

?2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.

Introduction

Firstphase

Secondphase

Thirdphase

Keyconsiderations

Introduction

Ataglance

Researchfindings

Thetransformativeroleof

agenticautonomousagents

Buildingtheintelligent

manufacturingorganization

GuidingyourAI

transformation

Foreword

Forindustrialmanufacturers,theFourthIndustrialRevolution(Industry4.0)

demandsgreateragilityandreal-time

decision-making.AIhasbecomeanecessity

ratherthananoption,enablingpredictive

maintenance,intelligentautomationand

data-drivenoptimization.However,intelligentmanufacturingisaboutmorethanjust

adoptingAI—it’sabouttransformingindustrialecosystemstounlockAI’simmensevalue,driveoperationalefficiencyandresilience,andcreatenewcompetitiveadvantages.

Forproductionandsupplychains,AIenablesreal-time

decision-making,predictiveanalyticsandself-optimizingworkflows.Forexample,AIcancombineexternalandinternaldatapoints,

suchasclientconsumptionpatternsandglobalindices,toprovide

ameaningfuldecisionsupportsystemaroundcostoptimization.

Intelligenttoolsenhancedemandforecasting,inventorymanagementandlogistics,byidentifyingvulnerabilitiesquickly.

Intheworkforce,AIandaugmentedrealityhelptrainemployeesonbestpracticeswhileautomatingroutinetasks,supportingpredictivemaintenanceandenablingdynamicscheduling.Finally,inthebackoffice,AIstreamlinesfinance,procurementandHRfunctions—

areasthatremainlargelyunder-digitizedintraditionalmanufacturing.

KPMGwantedtolearnhowindustrialmanufacturersareusingAItoreducecostsandexpandrevenues.Tounderstandthis,wesurveyed183seniormanufacturingAIleadersacrosseightcountries.WhatwediscoveredisthatAIleadersinthesectorrecognizethatembracingAIisnolongeroptionalbutastrategicnecessity—93percent

believethatorganizationsthatfullyintegrateAIwillgainasignificantcompetitiveedgeoverthosethatdonot.

93%

believethatorganizationsthatfullyintegrateAIwillgaina

significantcompetitiveedgeoverthosethatdonot

Intelligentmanufacturing:AblueprintforcreatingvaluethroughAI-driventransformation|5

?2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.

Foreword

Introduction

Ataglance

Researchfindings

Thetransformativeroleof

agenticautonomousagents

Buildingtheintelligent

manufacturingorganization

Firstphase

Secondphase

Thirdphase

Keyconsiderations

GuidingyourAI

transformation

Thisreportisdesignedtoprovidemanufacturingindustry

decision-makerswithactionableinsightsandstrategic

recommendationstonavigatethecomplexitiesofAIadoption,especiallyasIndustry5.0leansonmulti-modelAItomake

thisintegrationhumanfriendly.ByintegratingAIacross

functions,manufacturerscanunlockenterprise-widevalue

ratherthanlimitingAItoisolatedusecases.TohelpindustrialleadersmaximizeAI’simpact,thisreportexamines:

?HowAIcanimproveefficiency,enhanceagilityand

drivesustainabilityinmanufacturing,whileaddressing

challengessuchasfragmenteddata,legacysystemsandworkforcetransformation

?FindingsfromasurveyofAIleadersacrossindustrial

manufacturing,exploringhoworganizationsare

approachingAIstrategy,investmentandimplementation

?Thecharacteristicsofintelligentmanufacturing

organizationsandhowtobuildthem,examiningwhatdifferentiatesAI-readymanufacturers.

WeofferanAImaturitymodelandframeworktohelporganizationsprogressthroughthreekeystages:

?EnablingworkforcesandbuildingAIfoundations

Establishingthedataintegration,governanceandskillsnecessaryforresponsibleAIadoption

?EmbeddingAIacrosstheenterprise

ScalingAIsolutionsbeyondproductionintosupplychains,procurementandbusinessoperationstodriveholistictransformation

?Evolvingoperatingmodelsandecosystems

MovingtowardagenticAI-poweredmanufacturingthatfostersend-to-endconnectivity,self-optimizingproductionsystemsandAI-drivendecision-makingacrosstheenterprise.

Intelligentmanufacturing:AblueprintforcreatingvaluethroughAI-driventransformation|6

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Ataglance

Firstphase

Secondphase

Thirdphase

Keyconsiderations

Introduction

Ataglance

Researchfindings

Thetransformativeroleof

agenticautonomousagents

Buildingtheintelligent

manufacturingorganization

GuidingyourAI

transformation

Foreword

AIisacompetitivenecessity

believethatorganizationsintheirindustrythatembraceAIwilldevelopacompetitiveedgeoverthosethatdonot

intendtouseAItoimproveefficiency,77percentto

drivegrowth

93%

72%

AIintegrationiswelladvanced

areusingmachinelearningand72percentpredictiveanalytics,67percentareusingagenticAI

systematicallyincorporateAIintoproductandservicedevelopment

74%

74%

Implementationhasbeenchallenging

56%

40%

havefaceddatachallengeswhenimplementingAI

areexperiencingworkforceissuesintermsofskillsorresistancetochange;inresponse80percenthaveinvestedinknowledgeandskillstrainingontheirAItools

Risksarebeingidentifiedandmanaged

65%

haveastructuredapproachtoAIrisk

management,withthoroughprocessestoidentify,assessandmitigaterisks

Dataprivacy(57percent)andregulatorycompliance(44percent)arethemajorareasoffocus

Earlyresultsarepromising

96%

haveexperiencedoperationalandefficiencyimprovements

45%

haveexperiencedfinancial

improvements,with62percentexperiencinganROIofgreaterthan10percent

Significantinvestmentsarebeingmade

36%

saythatAIisgreaterthan

10percentoftheirtotalITbudget

77%

intendtoincreasethisoverthenext12months,71percentbymorethan10percent

Butsustainabilityisaconcern

85%

78%

believemeetingsustainabilitytargetsismoreimportantthanAI

haveplansinplacetomitigatetheincreasedenergydemandsofimplementingAItechnology

Intelligentmanufacturing:AblueprintforcreatingvaluethroughAI-driventransformation|7

?2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.

Foreword

Introduction

Ataglance

Researchfindings

Thetransformativeroleof

agenticautonomousagents

Buildingtheintelligent

manufacturingorganization

Firstphase

Secondphase

Thirdphase

Keyconsiderations

GuidingyourAI

transformation

Researchfindings

AIleadersinindustrialmanufacturingaresettingthestageforaneweraofintelligentoperations,automationandinnovation.Withstrong

investment,strategicalignmentandafocusonworkforcereadiness,manufacturersare

well-positionedtoharnessAI’stransformativepotential.However,balancingtechnological

advancementwithsustainability,risk

management,andmarketuncertaintywillbekeytoensuringlong-termsuccess.

AIleadershipinindustrialmanufacturing:Atransformationalshift

AIleadersinthesectorrecognizethatembracingAIisnolongeroptionalbutastrategic

necessity—93percentbelievethatorganizationsthatfullyintegrateAIwillgainasignificantcompetitiveedgeoverthosethatdonot.

AIasacorecomponentofbusinessstrategy

AIisquicklybecomingintegraltooperations:20percentofmanufacturersconsiderAIacore

componentacrossalldepartments.Furthermore,26percenthaveembeddedAIintotheir

organizationalcultureandoperations,usingittodriveinnovation,createnewbusinessmodelsandexploreuntappedmarkets.

AgileandhybridorganizationalmodelsdrivingAIsuccess

TosupportAIadoption,manufacturingfirmsarerethinkingtheirorganizationalstructures.Nineteenpercenthaveadoptedanagileapproach,whereteamsarecross-functional,adaptableandfocusedonspecificprojectsorgoalstoensurerapiditerationanddelivery.However,50percenthave

implementedahybridmodel,blendingmultipleapproachessuchasfunctionalandagilestructurestooptimizeflexibilityandefficiency.

Cloud,on-premisesandAI-drivendatainfrastructure

While60percenthavepredominantlycloud-basedITsystems,AIadoptionremainsrootedinbothcloudandon-premisesinfrastructure;infact,84percentareleveragingon-premisesAIsolutions.Theabilitytomanageandintegratedataeffectivelyisalsoapriority,with52percentimplementingcross-platformdataintegrationorintelligentdatafabrics,and74percentmakingsignificantuseofAI-powereddataplatforms.

Intelligentmanufacturing:AblueprintforcreatingvaluethroughAI-driventransformation|8

?2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.

Foreword

Introduction

Ataglance

Researchfindings

Thetransformativeroleof

agenticautonomousagents

Buildingtheintelligent

manufacturingorganization

Firstphase

Secondphase

Thirdphase

Keyconsiderations

GuidingyourAI

transformation

AImaturityanddevelopmentapproaches

TheindustryisseeingagrowinglevelofAImaturity,with62percenthavingusedAIforoverthree

years.Open-sourceAItoolsplayavitalroleinthisecosystem,with70percentmakingsignificant

orextensiveuseofthem.Eighty-fourpercent

areactivelydevelopingAIsolutionsin-house,

demonstratingacommitmenttocustomAI

innovationstailoredtoindustry-specificchallenges.

AdvancedAIcapabilitiesinmanufacturing

AIapplicationsinindustrialmanufacturingarerapidlyexpanding.Seventy-fourpercentoforganizations

areutilizingmachinelearning,while72percentareleveragingpredictiveanalytics.Processautomationisalsoakeyfocus,with67percentintegratingAI

withRPA.Notably,67percentareusingagenticAI,withanadditional20percentplanningtoexpanditsuse.ConfidenceinAI’sdecision-makingcapabilitiesishigh:91percentarecomfortableallowingAIto

makeend-to-endautonomousdecisionsforspecificprocesses.

Figure1:ManufacturingdrivingoperationalgainswithAI

Percentagewhosaytheirorganizationhasachievedthefollowingbene?tsthroughusingAI

Faster,data-drivendecision-making

FewerbusinessrisksandgreaterregulatorycomplianceIncreasedoperationalef?ciencyandcostreduction

Improveddataanalyticsandinsights EnhancedcustomerexperienceStrengthenedcybersecurityanddataprivacyIncreasedrevenue/growth

Increasedemployeeengagementandabilitytoattracttalent EnhancedsupplychainmanagementOptimized?nancialplanningandforecasting

Bettersupportedsustainabilityandenvironmentalgoals ImprovedstakeholdermanagementDevelopmentofnewproductsandservicesGainingcompetitiveadvantageinthemarket

42%

37%36%

30%

29%

28%

27%

27%

26%

25%

24%23%23%23%

Whatbene?tshasyourorganizationhadfromusingAIinthebusiness?(Maximum5)n=163

Source:Intelligentmanufacturing:AblueprintforcreatingvaluethroughAI-driventransformation,KPMGInternational,2025

Intelligentmanufacturing:AblueprintforcreatingvaluethroughAI-driventransformation|9

?2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.

Foreword

Introduction

Ataglance

Researchfindings

Thetransformativeroleof

agenticautonomousagents

Buildingtheintelligent

manufacturingorganization

Firstphase

Secondphase

Third

operationalvaluestreams

phase

LetAKIeayusairkayionsoe

GuidingyourAI

trneroaligoyno

AI’simpactonkeybusinessfunctions

AIadoptionishavingthegreatestimpactonR&D

andITfunctions,accordingto77percentofindustry

leaders.However,itsinfluenceextendsacrossthevaluechain,with70percentcitingsignificantoperational

improvementsasAIbecomesembeddedintocorebusinessfunctions.

Investmenttrendsandbudgetprioritization

InvestmentinAIisaccelerating,with36percentof

manufacturersallocatingover10percentoftheirtotalITbudgettoAI.Lookingahead,77percentplantoincreaseAIinvestmentsoverthenextyear,with71percent

expectinggrowthofmorethan10percent.Theprimaryobjectivesoftheseinvestmentsareclear:72percent

aimtoenhanceefficiency,with52percentfocusedonprocessautomationand77percentusingAItodrivebusinessgrowth.

ChallengesinAIimplementation

AIadoptionisnotwithoutchallenges.Fifty-sixpercentofmanufacturershavefaceddata-relatedissueswhenimplementingAIsolutions,while40percentreport

workforcechallenges,includingskillsgapsandresistancetochange.

MeasuringAI’sbusinessimpact

ThebenefitsofAIadoptionarealreadymaterializing.

Ninety-sixpercentoforganizationshavereported

operationalandefficiencygains,while45percenthaveexperiencedmeasurablefinancialimprovements.Returnoninvestment(ROI)isakeymetric,with62percent

achievinganROIgreaterthan10percentand31percentexpectingAIinvestmentstoyieldareturnofover

30percentinthenext12months.

ManagingAIrisksandensuringresponsibleAIdeployment

WithAIplayingamorecentralroleinoperations,risk

managementhasbecomeapriority.Sixty-fivepercent

ofmanufacturershaveastructuredapproachtoAIriskmanagement,focusingonareassuchasdataprivacy

(57percent)andregulatorycompliance(44percent).

ProactiveriskmanagementensuresAIadoptionremainsresponsible,secure,andalignedwithindustrystandards.

56%

ofmanufacturershavefaceddata-relatedissueswhen

implementingAIsolutions

Intelligentmanufacturing:AblueprintforcreatingvaluethroughAI-driventransformation|10

?2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.

Foreword

Introduction

Ataglance

Researchfindings

Thetransformativeroleof

agenticautonomousagents

Buildingtheintelligent

manufacturingorganization

Firstphase

Secondphase

Thirdphase

Keyconsiderations

GuidingyourAI

transformation

Figure2:Skillsgapsarethetophurdleformanufacturing

PercentagewhosaytheirorganizationhasfacedthefollowingchallengeswhenintegratingAI

LackofAIskillsorexpertiseamongworkforce

Securityanddataprivacyconcerns

Timeandresourceconstraints

Legalorregulatoryconstraints

Datasilos

EmployeeresistancetochangeandreluctancetouseAItoolsEthicalrisks

Lackofcommunicationandalignmentbetweendepartments

Budgetrestrictionsorlackofinvestment

Dif?cultyinmeasuringreturnoninvestment(ROI)

InconsistentdataformatsPoordataquality

Lackofleadershipsupportandunderstanding

Lackofleadershipcommunicationandalignment

WhatchallengeshasyourorganizationfacedwhenintegratingAI?(Maximum5)n=163

Source:Intelligentmanufacturing:AblueprintforcreatingvaluethroughAI-driventransformation,KPMGInternational,2025

30%

24%

22%

21%

21%

20%

20%

18%

18%

18%

18%

17%

17%

17%

Intelligentmanufacturing:AblueprintforcreatingvaluethroughAI-driventransformation|11

?2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.

Foreword

Introduction

Ataglance

Researchfindings

Thetransformativeroleof

agenticautonomousagents

Buildingtheintelligent

manufacturingorganization

Firstphase

Secondphase

Thirdphase

Keyconsiderations

GuidingyourAI

transformation

AIupskillingandworkforcereadiness

WorkforcepreparednessisacriticalenablerofAI

adoption.Recognizingthis,80percentoforganizationshaveinvestedinAIknowledgeandskillstraining,while72percenthavefocusedonbuildingacomprehensivebusinessAIstrategy.Encouragingly,89percent

believeemployeesarequicklyadaptingtoAItoolsandtechnologies,supportingwidespreadadoptionacrosstheworkforce.

AIstrategyandleadershipconfidence

AIadoptionisnolongerasiloedITinitiative—itisa

strategicpriority.Sixty-eightpercentoforganizations

haveadedicatedAIteamthatleadsandshapesAI

strategy,ensuringAIsolutionsaresystematically

integratedintocorebusinessfunctions.Seventy-four

percenthaveembeddedAIintoproductandservice

development,makingitacentralcomponentoftheir

marketofferingsandcustomerexperience.Importantly,75percentofindustryleaderstrustAI-driveninsightsandconfidentlyrelyonAIfordecision-makingacross

multiplebusinessareas.

BalancingAIadoptionwithsustainabilitygoals

WhileAIadoptionisaccelerating,manufacturers

arealsoconsciousofitsbroaderimplications.

Seventy-eightpercentbelievemeetingsustainability

targetsismoreimportantthanAI,highlightingthe

sector’scommitmenttoresponsibleinnovation.

Additionally,85percenthavestrategiesinplaceto

mitigateAI’sincreasingenergydemands,ensuringAIadoptionalignswithlong-termsustainabilitygoals.

BalancingstrategicAIinvestmentswithmarketuncertainty

DespiteenthusiasmforAI,industrialmanufacturers

arenavigatingarapidlyevolvingtechnologylandscape.Seventy-sixpercentbelieveitisbesttowaitand

observehowAItechnologiesmaturebeforemakinglarge-scaleinvestments.Meanwhile,67percent

facesignificantshareholderpressuretodemonstrateimmediateROIonAIinvestments.However,thishasnotdeterredinnovation—72percentcontinueto

investinAIexperimentationandinnovation.

AligningAIwithlong-termbusinessstrategy

AIadoptioninmanufacturingisnotjustabout

efficiency—itisaboutlong-termgrowthand

transformation.Seventy-ninepercentofindustry

leadersstatethattheirorganizationshaveachieved

strategicalignmentonAIadoption,with39percent

fullyintegratingAIintotheirfive-yeargrowthplans.

ThisstructuredapproachensuresAIinvestmentsalignwithbusinessobjectives,pavingthewayforsustainedcompetitiveadvantage.

ThereisnaturalembracementofAItechnologybytheorganization,andinCanada,weare

goingslowlybecausewedon’thavetheskillsandthetechnicalsupportthatIndiahasto

supportimplementation.That’swhywearestartingwithsoftwaredepartments.Wedon’twanttobecompletelydisruptive,butthe

ideaistogotowardsallthedepartmentsinagradualmanner.99

ChiefFinancialOfficer—Canada

Intelligentmanufacturing:AblueprintforcreatingvaluethroughAI-driventransformation|12

?2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.

Foreword

Introduction

Ataglance

Researchfindings

Thetransformativeroleof

agenticautonomousagents

Buildingtheintelligent

manufacturingorganization

Firstphase

Secondphase

Thirdphase

Keyconsiderations

GuidingyourAI

transformation

Summarykeyrecommendations

TodriveAIadoptionandlong-termvaluecreationinindustrialmanufacturing,leadersshould:

DevelopanAIstrategythatalignswithcorecapabilitiesandmaximizesvalue

Manufacturersshoulddevelop

ablueprintforimplementingAI

acrosstheenterprisewithafocusonAIapplicationsthathavea

highbusinessimpactandprovideimmediateoperationalbenefits,suchaspredictivemaintenance,defectdetectionproduction

optimizationandAI-drivensupplychainforecasting.

BuildtrustintotheAI

transformationroadmap

Trustisessentialforenterprise-wideAIadoption.ExplainableAI(XAI)models,ethicalgovernanceframeworks

andclearregulatorycompliance

measureswillhelpmanufacturers

createtransparencyandaccountability.Engagingengineers,factory

operators,supplychainmanagers

andbusinessleadersearlyintheAIjourney—addressingconcernsaboutworkforceimpact,datasecurityanddecision-makingautonomy—will

fosterlong-termconfidence.

Createasustainabletechnologyanddatainfrastructure

MaximizingvaluefromAIdepends

onintegrated,scalableandsecure

datainfrastructure.Organizations

shouldbuildaconnecteddata

ecosystemthatintegratesresearch

anddevelopment(R&D),productionandfieldservicedata.Cloud-basedAIplatforms,intelligentedgecomputingandcross-platformdatafabricsenablereal-timeAI-driveninsightsand

interoperabilityacrosslegacysystemsandnewdigitaltechnologies.

Buildaworkforceculturethat

elevateshuman-AIcollaboration

AIshouldaugmenthumanexpertise,not

replaceit.LeadersneedtothinkthroughhowprocesseswillchangepostAIimplementationsandhowhumansandAIshouldworktogetherinanewway.Thisshouldbedefinedfor

eachfunction.Manufacturersshouldreskill

employees,integrateAIintofactoryoperationsanddecision-makingprocesses,andcreateaculturewhereAIenhancesefficiency,safety

andinnovation.Encouragingcross-functional

collaborationbetweenAIspecialists,engineersandfrontlineworkershelpsensurethatAI

adoptionupliftsworkforces.

Intelligentmanufacturing:AblueprintforcreatingvaluethroughAI-driventransformation|13

?2025CopyrightownedbyoneormoreoftheKPMGInternationalentities.KPMGInternationalentitiesprovidenoservicestoclients.Allrightsreserved.

Foreword

Introduction

Ataglance

Researchfindings

Thetransformativeroleof

agenticautonomousagents

Buildingtheintelligent

manufacturingorganization

Firstphase

Secondphase

Thirdphase

Keyconsiderations

GuidingyourAI

transformation

The