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BCG
Executive
Perspectives
TheAI-FirstTechFunction
HowtoevolvetheAl/techfunctionfroma
serviceprovidertoastrategicpartner
September2026
TheAI/Techfunctionmustevolve-
expandingcapabilitiesandembeddingclosertothebusinessess
AspartofourongoingseriesofC-suiteconversationsonAl,wetrackthelatestdevelopmentsinthisfast-evolvingspace.Inthepast12
monthsalone,thespeedofchangehasfundamentallyaccelerated
·Alagentsnowreliablycompletemulti-stepenterpriseworkflows,andCIOs/CTOsarebalancinganunprecedentedvolumeofagentbuildsandsupportrequestsacrosstheorg
·Inferencecostsforfrontier-levelperformancehavedroppedapproximately10x;theeconomicsofdigitallaborhaveinverted.
·Open-sourcemodelsnearlymatchclosed-modelperformanceacrossmanytasks,withcompaniesexperimentingwithvendorneutralityviainternationalmodelsandon-premdeployments
·AgenticAlalreadyaccountsforapproximately17%oftotalAlvaluein2025,ontracktoreach29%by2028.1
·Thetechfunctionisataninflectionpoint:itnolongermanagessoftware-itmanagesaworkforceofagents.
Source:BCGAlMaturityresearch2025;BCGGlobalAISurvey2025;BCGanalysis
1.BCGresearch;2.Functionmayliveacrossmultipletech,digitalandAldepartments
Whothisisfor:
AI/Techfunction(incl.CIOs,CTOs,CDOs,
CEOswhowanttobettercollaboratewiththeir
CAIOsetal.2)astheyshapetheirAlagenda
Whatyouwilltakeaway
CopyightO2026byBostonConsultingGroup.Alrightsreserved.
Whyyourcurrentfunctionmustevolve
Theshiftfromsoftwaredeliverytodigitallabor,livingsystems,andAl-nativeoperations
WhatthenewAI/Techfunctionrequires
Threenewpillarstoaddressthesystemicriskscreatedbyagenticorganizationalshifts
Howtomakeitreal
KeyactionswinningCIOs/CTOstaketonavigatethetransitionandcaptureAlvalue
1
Executivesummary|TheAl/techfunctionistransforming
fromaback-officecostcentertotheenterprise'sAlstrategicpartner
Shifts
duetoAl
Newrolesforthe
Al/techfunction
Source:BCGAnalysis
AgenticAlisfundamentallyrewiringenterprises:AlisreshapingtheenterpriseandAI/techoperatingmodel,movingfrombuildingorbuyingsoftwaretodeployingandoptimizingdigitallabor.Thisrequiresastrategicshift
Todate,theroleoftheAl/techorganizationhasmostlybeentorunenterpriseinfrastructureandbuildonbehalfofthebusinessasaserviceprovider.Theagenticeracallsforareshapingofthesefunctions
①Leadbyexamplethroughfaster,moreeffectiveAI/techfunctionprocesses(includingagenticPDLC,ITops,andtechsourcing)toserveasaproofpointandunlockefficienciesthatcanfundthejourney
②Architectanenterprise-wideAlplatformthatenablesallteamstobuildoroperatesecure,scalableAlworkflows
3ButtheroleoftheAl/techfunctionisalsoevolving,requiringittoshiftfromserviceprovidertoatruestrategicpartnerfortheC-suite:
·EnablinganAl-firstNorthStarbyspearheadingconversationswithCXOsonwhereagenticAlwins
·ProtectingagainstnewAlrisks,screeningnewtooVdatarequestsandenforcingguardrailsinproduction
·Shapinghuman-agentcollaborationwiththeCHROandsupportingorganization-wideAlupskilling
·MasteringtheneweconomicsofagentswiththeCFO,providingtelemetrymechanismsforvalue
CEOsneedtoensuretheirAl/techfunctionsareequippedwiththerelevantskillsandplanstomeetthismomentinordertocapturevaluefromAltheircompetitorscan't
Copyrighto2026byBostonConsultingGroup.Allrightsreserved.
2
Context|AgentsarefundamentallyshiftingtheroleoftheAI/Tech
function'scoremandateandexpandingitsengagementwiththeC-Suite
AIAgents
StartingpointAgenticEnterprise
Multi-Agent
orchestration
Spanoftechnology
Human-only
workflowsChatbotsAlagents
Waysofworking
Tech
blueprint
EngagementModel
Waterfall&Agile
Mostly3rdpartytech
Serviceprovidertobusiness,notafullseatatthetable
Copyright@2026byBostonConsultingGroup.Allrightsreserved.
Agentic-firstworkflows
CustomTech&
Enterprise-gradeAgenticplatform(s)
StrategicpartnertoC-Suite,
teamsembeddedinthebusiness
(CXOs,CRO,CHRO,CFO)
3
Source:AgenticEnterpriseOpsExecutivePerspective,BCGMarch2026;Source:BCGresearch
TheAl/Techfunctionmustnowfocusonthreepillars-eachclosingacriticalgapthetraditionalmandatewasneverdesignedtoaddress
CopyrightO2026byBostonConsutingGroup.Allrightsreserved.
CatalystforC-suite
Alignment&AIValue
EnableAl-firstNorthStarby
buildingC-suiteconvictiononwhere
todeployagenticAl(andwhere
notto)whilemanagingAlrisks
withtheCRO,shapinghuman-agent
collaborationwiththeCHRO,and
masteringtheneweconomicsof
agentswiththeCFO
ExpandedRolesofExistingMandate·—NewRolesasaC-SuitePartner
Acceleratorof
Architectofthe
Al-FirstTechnology
Al-readyTechEstate
Embracesa"CustomerZero"mindset
bydrivingchangeinternally,
embeddingAl-firstengineering,IT
Ops,security,&datawithinthe
function,andacceleratingcontinuous
legacyrenewaltounlockefficiencies
tofundthejourney
Constructsanenterprise-wideAl
platformthatcanconnectall
functions'technologies,balancing
telemetry,monitoring,&controlsto
enableteamstobuild&scaleagents
effectivelyandsafely
Alinvestmentwithmodernizationand
2-5x
Fastertechdeliverycycles¹
5-10%
EBITDAupliftforfrontofficeproductivity²
Ambitionsfor,andimpactofagentictransformationsseenatourclients¹
30-70%
Techfunctionproductivityunlock¹
1.Clientstypicallysee1-2xfasterdeliveryand30%productivityunlockorganization-wide,withpowerteamsreaching3-5xupliftandupto70%productivityunlock2.E.g.,AlinMarketing,Sales
AcceleratorofAl-FirstTechnology
AI/TechfunctionmustleadtheAl-firsttransformationinternally,reshapingitsbuild&runfunctions,teamstructures,andoperatingmodel
Currentfunction:
Supportrolethatreceives
businessrequirementswithlimitedinputon
prioritization
Managelargebacklogsof
build&runpriorities
LittleinfluenceinAlconversations
Futurestate:
Buildproprietarysoftware:Al-assistedPDLCwithagentsacceleratingdesign,coding,&deploymentandmigration&refactoringoflegacycode
Transform3Psoftware:Agenticmigration&managementof3PSaaS
Run&KTLO:Productizing,aligningteamstoproductportfoliosforbetter
scalabilitywithAl;Self-service(e.g.,automatedprovisioning)&infraagentsforstandardizedservices
Teamstructure:Smaller,focusedtechteamsembeddedwithinthe
businessforrapiddeployment&bettercoordination;InsourceworktoretainAl-upskilledtalent&seereturnontoolinvestment
Operatingmodel:Businessdrivesprioritizationdirectlywithembeddedtechteams;leanermanagementlayerswithlargerspansofcontrol,aidedby
agenticcoordination
Business&BuildTeamsMidlemgmt.
EmbeddedTechBuildSquads+Agenticcoordinationlayer
●Businessstakeholder●MiddlemanagerProductmanager/builder●Engineer
Copyrighto2026byBostonConsultingGroup.Allrightsreserved.
5
①AcceleratorofAl-FirstTechnology
Buildproprietarysoftware|LeadingcompaniesarealreadymovingfromAl-assistedcodingtofullagentfactoriestounlockproductivitygains
Today
Al-assistedPDLC
HumansassistedbyAltocompletework
Design
Plan
Code
Test
Review
Merge
PATH1:ENABLEMENTFORALL
Al-drivenPDLC
HumanssupervisingAlthatexecutessoftwaredelivery
Design
Plan
Code
Test
Review
Merge
NorthStar
PATH2:EXPERIMENTINSELECTPROJECTSAgentfactories
HumansmanagingAlagentsthatcreateandoptimizeend-to-endvalue
DesignBuild/Improveharness
AgentWorkflow—
DesignSpecs
Plan
Code
Test
Review
Merge
Review
Humanastheauthor
Monthsperfeature
Humanastheorchestrator
Daysorweeksperfeature
Humanastheagentbuilder&supervisor
Copyrighto2026byBostonConsultingGroup.Allrightsreserved.
Hoursperfeature
HumanHuman&AgentsAgents6
Source:BCGAnalysis
①AcceleratorofAl-FirstTechnology
Buildproprietarysoftware|BCGhelpeddrive100%+productivityatalargetechhyperscalerthroughAladoptionsprints
```markdown```
CaseStudy:
Driving100%+
productivityatlargetechhyperscaler
Referencevideo:MattYanchyshynofAWSonwhatittakesengineerstoembraceAl
Source:BCGcaseexperience
Context
~
·1,000personengineeringorg
·Jun’25:HighAladoptionrate80%+Alweeklyusers
·Jun’25:Goalto2Xproductivity,butminimaluplifttodate(~10%)
Approach&Impact
Facilitatedtailored6-weekadoptionsprints-focusedontechniques&behaviorstosustainGenAlwaysofworking,especiallyimprovingadoptionqualityacross:
Depth:FromunittestsonlytoE2Efeaturedevelopmentprocedure,class,&dependency
Breadth:FromcodingonlytofullSDLC
Reuse:Fromusingagentstobuildinginre-usableskills
PursuedaholisticapproachacrossAdoption,Tooling,Metrics,&workforceactivation
Delivereddemonstratablevalueproofof~100%+productivityuplift,witha10xincrease
Copyrighto2026byBostonConsultingGroup.Allrightsreserved.
in“power”users(5->50%)
①AcceleratorofAl-FirstTechnology
Buildproprietarysoftware|BCGhelpeddrive5xproductivitywithagenticsoftwarefactoryharnesstomodernizelegacystack
CaseStudy:
Driving5xproductivitygrowthatlargetech
hyperscaler
BCG
PLATINION
Source:BCGcaseexperience
Context
·Twobusiness-criticallegacystacks(JBossEAPandSybase)attheheartofoperations
·Yearsofmanualmigrationwithtraditionaltooling,limitedprogressonthemodernizationroadmap
·Ambitiontomigrateappsanddatabasestoamodern,cloud-readystackwhilepreservingfunctionalequivalence
Approach&Impact
EstablishedAl-poweredmigrationfactoryintegratedintoCI/CD,runninglegacymigrationE2EacrossthefullSDLCinthreestages:
>Analyze:Parselegacycodedeterministicallyintographofeverytable,procedure,class,anddependency
TargetDesign:Setmigrationstrategy,roadmap,targetarchitecture
MigrateandExecute:Generatecode,runequivalenceandintegrationtests,verifybehavioralparity,deployviaCI/CD
Migratedfourapplicationsandover30,000linesofcodetomodern,cloud-readystack
Builtfulldependencygraphofover5,000storedprocedures,mappingreplacementAPlsacrosstightlycoupledapplications
Copyrighto2026byBostonConsultingGroup.Allrightsreserved.
Delivered5×productivitygain,completing350person-dayestimateinfourweeks
8
①AcceleratorofAl-FirstTechnology
Build3Psoftware|BCGhelpeddrive$300M+P&Limpact&90%,reductioninthenumberofprocess&systemsthroughanAl-firstERPtransformation
CaseStudy:
Achieved90%
reductionin
numberofkeyERPprocesses&legacysystems¹foratop-10healthcareorg
Source:BCGcaseexperience
1k+processesreducedto96,20+systemsreducedto3
Context
·1k+inconsistentprocesses&20+legacyERPsystemswithinatop-10healthcareorg
·Manydifferenttemplatesandlocalcustomizationsacross20+manufacturingsitesand40+countries
Approach&Impact
BCGledtheorganizationinanAl-firstERPtransformation,focusingon5pillars:
DrovedeepeducationofERPcapabilitiesandownershipofvalue
Copyright@2026byBostonConsultingGroup.Allrightsreserved.
Builtabusinessowned,executive-committeeapprovedvaluecasecenteredonP&Limpact,inventoryreduction,andrevenueprotection
Establishedrigorousprogrammanagementacross30+leaderstodrivecross-functionalalignment,problemsolving,andaccountability&efficiency
DroveproductivitywithanE2EAl-firstprogramdeliveryacrossallphases
ReducedtransformationcostsusingAltostreamlinedeploymentscheduleandresourceoptimization
Reducedthenumberofprocesses&legacyERPsystemsby90%,drove$300M+P&Limpact,$1B+revenueprotection,andachieved30%transformationcostsavings
9
Run&KTLO(TechSourcing)|Al/TechorganizationsmuststreamlinetheirITsourcingwithAltoolsacross4majorstepsofthesourcingprocess
Toreducemanualeffortsinsourcing,deployAlacross4mainworkflows
·—RFI/RFPAnalysis—
Contract
Transparency
.lies
一
Recommendations&SavingsPotential
ContractAnalysis
①AcceleratorofAl-FirstTechnology
RFI/RFPProcess
EnhancesourcingwithAl-drivenvendorevaluation
FullvisibilityintocontractualtermsComparativecontractanalysis
obligationsagainstmarketstandards
RFI/RFPresponsescoring:
Al-poweredanalysis,evaluationandscoringofvendorresponsesbasedonpre-definedcrniteria
Automatedingestion:
Alextracts&summarizeskey
contractterms(e.g.,SLAs,shoringmodel,scopeofservices)
Bestpracticecomparison:
Evaluatescontracttermsagainstpredefinedbest-practicelibraries(e.g.,SLAs,productivity
commitments)
Proposalandvendorcomparison:
Data-drivenselectionbasedon
multi-dimensionalcomparison
acrossbusinessandtechfactors
Question-basedextraction:
Targetsspecificdatapoints(e.g.,uptimelevel,feeescalation)toensurestructured,comparableinsights
Peer&marketalignment:
Benchmarksservicelevels,and
contractualtermsagainstindustryaveragesandclientpeerstoflagdeviations
DemonstratedImpact:1BCG'sAgent-basedtoolhashelpedleadingtechorganizations...
·Reducemanualassessmenttimeupto80%from2-4weeksto2-4days
·SurfacepotentialITcostsavingsof15-35%
1.ImpactonITcontractandRFI/RFPresponseanalysisprocessesSource:BCGcaseexperience
Insightsforcostoptimization
potentialopportunities
Costoptimizationlevers:
Providesactionable
Copyright@2026byBostonConsultingGroup.Allrightsreserved.
recommendationstoimprovecontractqualitywithsuggestedsavingpotentials
Riskmitigationactions:
Suggestschangestostrengthencontractualprotections,e.g.,
adjustingSLApenalties,oroptimizingshoringmodel
10
①AcceleratorofAl-FirstTechnology
Teamstructure&operatingmodel|Functionshouldreorganize,embeddingteamswithbusinesspartners&reducinglayers
```markdown```
Business&Build
Teams
Middlemgmt.
Observedpitfallsatourclients
Supportrolethattakesbusinessrequirements,manageslargebacklogs,notinthedriverseatforAldiscussions
·Businessdefinesbuildprioritieswithlimitedinvolvementandvisibility
·Separatebuildteamsexecutepriorities
·Extensiveoutsourcingto3Pproviders
·Typicallysiloedinfra&engineeringteams,notalwaysalignedtoproductportfolio
·Definesprioritization,managesintake,andmonitorsprogress,enforcing
technicalstandards
Multiplelayerswithsmallspansofcontrolwithextensivemanualcoordination
SeparateCTechAIBuildTeams
Copyright@2026byBostonConsultingGroup.Allrightsreserved.
Futurestate
Smaller,focusedteams
developmenttimelines
·
·
EmbeddedCTechAI
BuildSquads
·
·
·
+Agenticcoordinationlayer
·
closertothebusinesswithrapid
&agenticcoordination
Businessdrivesprioritizationdirectlyw/
embeddedtechteams
rapiddevelopment&bettercoordination
Buildteamssitclosertodeliveryfor
IncreasedinsourcingtoretainAl-upskilled
talent&seereturnontoolinvestment
Teamsalignedtoproductportfoliosof
keyusecasesforbetterscalabilitywithAl
Intake,prioritization,andportfolio
healthsupportedbyAI,humansmanage
exceptionsdependencies
Leanerlayerswithlargespansofcontrol,aidedbyagenticcoordination
12
Source:BCGanalysis
Productmanager/builder
●Engineer
●Middlemanager
Businessstakeholder
ArchitectoftheAl-readyTechEstate
AI/Techfunctionmustarchitectanenterprise-gradeAl/Agentplatformthatcanconnecttechnologiesacrossallfunctions
```markdown```
WhybuildanAgent&AIPlatform?
·Leaderstodayneedtofocusondeliveringvaluetodaywithhelpful,narrowagentswhilelayingthefoundationfortheirevolutionintocapable,autonomousassistants
·75%oftechnologyleadersfear“silentfailure”1;leadersask
howtokeepAlvalue-focused,undercontrol,andhowtoscalebeyondoneusecase
·Agent&Alplatformsprovidethefuture-readyfoundationrequiredforsustainableAlenablementwithscalable,safe
adoptionacrossfunctions
·Morecompaniesareshiftingtowardplatformthinking,balancingmarketsolutionsandcustomization
1.BCGResearch,"BeyondAlIslands",2025Source:BCGResearch
>
SuccessfactorsforanAgent&AIPlatform
Vendorneutrality:Partnerwithafewplayerstobenefitfrom
innovationandmaintainneutrality&adaptabilitytoglobalvendors
Atscalecapabilities:Ensurecoverageacrosskeycapabilities:
·Costcontrolviaagenticgateway&governancetomanageaccess&modelselection
CopyrightO2026byBostonConsultingGroup.Alrightsreseved.
·Agent/toolregistryandagentorchestrationtoeffectivelymanagemulti-agentecosystems
·Longtermmemoryforagentstoensuretheymaintaincontext&learningsovertime
·Al-poweredsecurity(e.g.,AISOCtriage)topreventAl-enabledattacks
Datafoundation:Establishacomprehensivedatalayer,securingdiverse&multi-modaldatasets;enforceprivacy,security,&
ownership
AI/Techplatformteams:IncreasegearingratioswithengineersleveragingAlcodingtools&agents
13
14
Source:BCGanalysis
ArchitectoftheAl-readyTechEstate
AI/Techfunctionmustguideenterprisealong3-stagematurityjourneyto
growplatform
from
portfolio
ofappstoafullagenticecosystem
ScalingAgentsWithout
CreatingYourNext
TechLegacy
Startingpoint
GenAlApplications
Single-purposetoolsusedbyindividuals
Reimagination
AgenticAIPlatform
Providesharedinfrastructureandmodelsacrossteamsandfunctions
Futurestate
AgenticAlEcosystem
Interconnectednetworksofagentsandtools
collaboratingautonomouslyacrossenterprise,
agentfleet,and3rdparties
Employees
ChatVoiceImage
Employees
Chat
FB/SB
Alproducts
VoiceSlack
CF
EmployeesFB/SBCF
AgentControls&Security
GenAIGuardrails
ModelGateway
Embeddedagents
Alagents
AgentRegistry&KnowledgeLayer
Almodels
Agent-to-AgentTools
AgentRegistry&KnowledgeLayer
Agenttools
ExternalCurated
InternalKnowledge
Internal
Memory&Embeddings
AgentControls&Security
ModelGateway
Usage&TokenTelemetry
Copyright@2026byBostonConsultingGroup.Allrightsreserved.
Clients/Agents
Platformtorapidlyscale
AIascollaborator
Autonomousactionstakenbyagents
toaccomplishend-to-endworkflows
Pointsolutionstoincreaseproductivity
EffectiveagenticAlecosystemsrequireanenhancedplatformdata&knowledgelayer(e.g.agenticdataaccess&
brokeringlayer,context&semanticenrichmentcapabilities,metadatamanagement,real-timeintegrations,RAGsupport)
CatalystforC-SuiteAlignment&AIValue
AI/Techfunction'srolewillexpandtobecomeastrategicpartnerfortheC-SuitetoenableaneffectiveAl-firsttransformation
Currently,AI/Techorg.
oftenhaslimitedC-Suiteengagement
Lacksstrategicengagementwithotherorganizationsandleaders
·Reactiveengagement:
perceivedasserviceproviderforrestoforganization,largelyoutsidethebusiness
·OutsideEx-Comm:CIOsoftendonotreceiveaseatatthe
tableforstrategicconversations
·Limitedinfluence:Other
gatekeeperforAl&ITtools
Source:BCGanalysis
CXOsviewAI/Techfunctionas
AI/TechfunctionmustbecomeastrategicpartnertotheC-Suite,workingwithCXOstodrivetheenterprise'sAl-firsttransformation
WiththeCEO...
Collaboratetodefinetheenterprise'sAl-firstNorthStar
WithCXOs..
ShowartofthepossibleonwhereagenticAlwins(andwhereitdoesn't)
Supportreshapeof
functionstodeliverontheCEO'sNorth-Star
WithCFO.….
Buildmechanismsto
AI/Tech
DriveAl-firstpracticesfortechworkflows
Ownenterprise-wideagenticplatform
WithCHRO.….
Definehuman-agent
CopyightO2026byBostonConsultingGroup.Allightsresered.
trackagent&tokencostsandassociatedvalue
CreateframeworkforefficientAluseto
mitigateavoidabletokenspending
engagementmodel,Alupskilling&hiring
strategy
enabling
transformation
Establishagent
evaluationandon/off-boardingframeworks
Deepdiveon
followingslides
WiththeCRO….
ActasdefenderagainstAl-enabledthreats
15
CIOs/CTOsmustpartnerwiththeCRO/CISOandbusinesstosecuretheirAItoolsandprocessesagainstincreasingvulnerabilities
89%
oforganizationsreportedexpenencingAl-enabledattacks;including35%withsignificant
operationorfinancialimpact
RiseofAl-enabledthreats
Alispartofthehackertoolkit,
makingattacksfaster,easiertoscale,
andmorefrequent
80%
OrganizationsrelyonincompleteAlthreatintelligence,andcannotidentifywhatanAl-poweredphishingattackwouldlooklikeintheirownsystems
CatalystforC-SuiteAlignment&AIValue
Partnershiploopbetweentech&businesstoaddressthreats
SecurityforAl
Buildsecurityintoalltech&Alprocesses
25
Averagenumberofincidentsper
sensitivedatathroughGenAltools
organizationinthelastyearofleakageof
1
MediannumberofAlsecuritycontrolsimplemented,butthosewhohave
implemented7+reportmeaningfulimpactinmitigatingthreats
Source:BCG&GLGCISOSurvey4.0(March2026,TotalN=302)
Builders
Alapplications&technologiesare
creatingnewcyber
&dataprivacy
risks,significantly
expandingthedigital
attacksurface
Defenders
Tokeepup
withevolvingthreatsandagrowingattacksurface,
organizationsare
adoptingAl-poweredcybersecurity
capabilities
AlforSecurity
EnsuretheorganizationispreparedforsecureAl-use
Copyright@2026byBostonConsultingGroup.Allrightsreserved.
59%
PlantoadoptAl-poweredSOCtriage
(Tier-1/2operations)in2026;fully
autonomousSOCatleast3-5+yearsaway
33%
PractitionerscomfortablewithGenAI
poweredsecuritytools-44%arewaitingforstrongerAlgovernanceandclearervendorvaluebeforemovingforward
16
EffectiveAI/TechfunctionsmustcollaboratewithCHROstoenabletheenterprise'sagenticworkforcestrategy
EvolutionofthefutureofworkAreasofcollaborationforAI/TechfunctionandCHRO
Alagentsasdigitalcollaborators,autonomouslyexecutingtasksandcollaboratingacrosssystems
Agentproliferationcreatesnew
enterprisemanagementissues,requiringadditionalmonitoring&controls
Rethinkingskills,changinghowand
wherecompaniessourcetalent
CompaniesredesigningasAl-first,
embeddingAlatthecoreofprocesses,structures,andvaluecreation
Embedwiththebusinesstoredefinework&rewireprocessestoincorporate
autonomousagents
Establishcontrolstomonitoragentuseasnumberofagentsgrows
Provideinputonskillsforupdatedentry-levelrolesandcareerpaths
Copyright@2026byBostonConsultingGroup.Allrightsreserved.
Providebridgetokeyecosystemvendors&sharefunction'sapproachtoAlupskillingtodriveorg-wideAladoption
HelpdefinecultureandcapabilityshiftstosupportAl-integratedoperations
Provideinputoncredentialcriteriaforenterprise-wideAlreadinessassessments
Createagentevaluationframeworktoassessperformanceandagentonboard&offboardingprocesses
17
CatalystforC-SuiteAlignment&AIValue
Source:BCGanalysis
Source:BCGanalysis
CatalystforC-SuiteAlignment&AIValueHowCIOscanprovetheValue
AI/TechmustworkwithCFOtobuildsyntheticP&Lgovernance,ofTechnologyintheAgeofAIhelpingdirecthuman&agentcapacitytowardefficiencygains&value
FouritemstopartnerwiththeCFOon:GovernAlspendasavalueportfolio
Al/TechandCFOfunctionsmustmasterneweconomics
ofagents&Al
·Transparency
Trackingmechanismsforagenticcosts,productivity,andoutcomes
·Predictability
Helpingforecasttokenspendacrossorganizations
·Properattribution
EnsuringagenticcostsarecategorizedeffectivelyintoOpExvs.CapEXvs.COGS
·Optimization
Creatingmoreefficientworkflows
SyntheticP&Llinkshuman-agentcost,output,&valueacrossthreecosttypes
Opex:Runinternalworkflows
Lowersperunitcost,raisesthroughput,improvesoperationspredictability
Copyright@2026byBostonConsultingGroup.Alrightsreserved.
Capex:Buildnewcapabilities&growthareas
Improvesbusiness-sideKPls,reducesFTEneed,createsnewrevenuestreams
COGS:Powercustomer-facingAl
Enablesproductsshippedtocustomers
18
CatalystforC-SuiteAlignment&AIValue
Al/Tech&CFOshouldpullfiveleverstoexerciseintelligentcontrolovertokenspendingandreturns
HowCEOsCanOptimizeAlTokenCostsandRoAI
How.CFOsandCIOsCanManagetheTokenMeter
Source:BCGanalysis
Stopor
minimize
Preventavoidablespending
Route
Picktherightworkhorse
Cache
Asktherightquestions
Govern
Applytherightcontrols
Train
IncreaseAlliteracy
CopyightO2026byBostonConsultingGroup.Allightsresered.
PushworkoutofAlmodels.Revisitlow-ROIworkflowsandeliminateunnecessaryagenticloops.Deterministicproblems(e.g.,structuredlookups,routing,andcalculations)aresolvedmorecheaply,faster,andreliablybycodeandAPIsthanbyAI.
Matcheachtasktotherightlevelofintelligenceratherthanthestrongestmodel.Usefrontiermodelsonlywherefrontierreasoningchangestheoutcome;self-hostonlywhenusageissteadyandhigh.Cap
sessionlengthandbudgetreasoningtokens.Letthesystemauto-routewhereitcan.
Reusablecontext,suchassystemprompts,policies,knowledgebases,andstandards,canbecachedandreadbackatasteepdiscountonmajorplatformssuchasAnthropicandOpenAl,whichcreatesbigsavingsforcachedinput.
Assigneverymaterialworkflowanowner,outcome,P&Lline,anddecisionthreshold.Re-architectagentflowstoshareworkspacesandpassgoals,notfulllogs.Batchnon-urgentworkandbuyattherightrate.
Trainemployeestounderstandwhatmodeltouse,whentocache,andwhatoutcometheyare
targeting,drivingrapidadoption.Rewardoutcomes,nottokensburned,andsetabudgetperworkflowtomeasurecostperoutcome.
Typic
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