ADM服务的未来研究

Futureof

ADMservices

GlobalADM-APACGTMQ12026

capgemu

ThisdeckpresentsastrategicPoVonthefutureofADMservicesdevelopedbytheGTMteamoftheGADMAPACCoEinresponsetoevolvingenterpriserealitiesandclientexpectations

Objectiveofthedeck

Outsourcingevolution

ADMvaluechaintransformation

Engagementmodelshifts

ItcaptureshowADMhasshiftedfromtraditionaloutsourcingtointelligent,GenAI-enableddeliverymodelsreflectingchangesin:

Enterprisepriorities

Clientexpectations

GenAI’simpactacrossADMroles

Commercialmodelevolution

TheobjectiveistoequipstakeholderswithaclearunderstandingofhowADMservicesarebecomingmoreflexible,outcome-driven,andstrategicallyalignedtobusinessvalue.

ThisPoVreflectshowADMengagementshaveadaptedtoenterpriseneeds.

Copyright©2026CapgeminiAllrightsreserved2

Executivesummary

ApplicationDevelopmentandMaintenance(ADM)ismovingdecisivelyfromeffort-basedoutsourcingtoplatform-orchestrated,AI-assisted,outcome-aligneddelivery.

Threesignalsanchorthispivot:

AIpricingdisruption

Traditionaleffort-basedbillingisgivingwaytocomplex,AI-driveneconomics-wherecostsspanIPcreation,tokenconsumption,andinfrastructurescaling,makingtransparencyandfairnesscritical.

Newcommercialparadigms

ModelsareshiftingfromT&MandfixedPricetooutcome-based,gain-share,andhybridconstructs,aligningpricingwithbusinessimpactandsharedaccountabilityratherthaneffortalone.

Platformforthefuture

Sustainablepricingframeworksdemandadaptability,proportionality,

andrisk-awareincentives,ensuringvalueexchangeremainsequitableasGenAIandagenticdeliveryreshapeADM.

ThewinningADMmodelisplatform-led,AI-assistedwithguardrails,observability-first,andcommerciallyaligned.

NewADMParadigm:

Techsolutionsandclient-drivenmodels

CopyΓight©2026CapgeminiAllΓightsΓeseΓved4

Technologyinterventionsundertakenby

enterprisestoovercomebusinesschallenges

KeychallengesfacedbyTechnologyinterventions

enterprisesin2024undertaken

Enhanceprofitabilityandoptimizecostinmacroeconomicuncertainty

Meetevolvingconsumerneedsanddeliversuperiorcustomer

experience

Overcomelegacysystemsanddatasilosindigitaltransformation

Mitigatecybersecurityrisksandensuredataprivacy

Focusonsustainabilitygoalsandenvironmentalresponsibility

•Hyper-automationandenterpriseautomation

•CloudcomputingandFinOps

•Low-code/No-codesoftwaredevelopment

•AI-poweredchatbotsandvirtualassistants

•AR/VRforimmersiveexperiencedelivery

•Appmodernizationandcloudmigration

•APIsandmicroservicesarchitectures

•Datalakesanddatawarehousingsolutions

•AI-poweredthreatdetection

•ZeroTrustArchitecture(ZTA)

•Dataencryptionandtokenization

•GreenITandsustainablecloudpractices

•IoT-enabledwastemanagementsystems

•Dataencryptionandtokenization

Embracingnewtechnologyandevolvingconsumerbehaviorsislikelytodrivesignificantbusiness

benefits[1]

Externaldriverscontributingtopositivebusinessoutcomesin2025

Increasingorderofinfluence

Evolutionandadoptionofnewtechnologies

Changesincustomerinterestsandpurchasingpatterns

Shiftsincompetitors’strategies,marketshare,andproductofferings

Governmentpoliciesandregulations

Globalmacroeconomicconditions

79%

63%

47%

28%

25%

Copyright©2026CapgeminiAllrightsreserved5

%ofrespondents,100%=220

GenAIevolvesveryfaston3keydimensions

NeedingacloseunderstandingofthetrendsanditsimplicationsforADMservices

ExistingplayersenhancetheirsolutionswithGenAIagents,e.g.GitHubCopilot,SAPJoule

Startupsbuildpromisingend-to-endsolutions,e.g.PoolsideAI,CursorAI

CodingAssistants

Agenticroadmapfromproductvendors,e.g.MCPagentsfromSNOW,SAP,SFDC,UiPath,BluePrism,etc.

Theriseofhyper-automationwith”AIΓeasoning”

Domain-specificagentswithSLMs

M365CopilotandSharePointagents

Networkofagents(MCPandA2Aprotocol)

MoreplayersemergeintheGenAIOpsspace,likeFiddler,BigPanda,SplunkAI,DynatraceDavis

Topthreetrendsinapplicationservices

ApplicationΓationalizationasaprecursortomodernization:Preventstechnicaldebt,eliminatesredundantsystems,andprovidesvisibilityforeffectivemodernization

PΓoductivitycommitmentastheholygrailofgenAIinvestments:GenAIisatthecenterofallinvestmentsandproductivitygainsaretheprimaryexpectation

IntegΓatedmanagedseΓvicesbecomingthenorm:Ensuresvaluemaximizationthroughunifiedtools,platforms,talentmodels,anddeliveryframeworks

Copyright©2026CapgeminiAllrightsreserved6

AgentsandAgenticAI

Whatourcompetitorsareinvestinginto?[2]

AgenticAIandIT-OTconvergenceemergeaskeyinvestmentlevers

PEER

FOCUSDIMENSION

INVESTMENTDETAILS

•AIRefineryforIndustry:Launched12ready-made“agent”solutions(builtonNVIDIAAI),withagoalofreaching100agentsbyyear-endtoaccelerateagent-as-a-serviceadoption

•IntegratedReinventionServices:Unifiedstrategy,consulting,technology,andoperationsunderasingleAI-focusedPnLtospeedupindustrial-scaletransformation

•AccentureSiemensBusinessGroup:Dedicatedgrouptointegrateautomation,industrialAI,andIT-OTservices

•NeuroAIwithNVIDIA:Deployedamulti-agentaccelerator,sectorLLMs,andadigital-twintoolchaintoenablescalableadoption

•GIFTCityTechFinCenter:60,000sqfthubforAI-drivenBFSIsolutions,withplanstobuilda2,000strongworkforceoverthreeyears

•OMRONpartnership:StrategiccollaborationtoenableIT-OTconvergenceinsmartfactories

•InsightSmart-Manufacturingagent:DevelopedonGoogleCortex,MDEandVertexAItoidentifydefectsandanomalies

•OpenAIpartnership:Multi-yearagreementtoembedadvancedGenAImodelsacrossvariousservicesandplatforms

•200+EnterpriseAIagents:DeployedthroughTopazonGoogleVertexAIforworkflowautomation

•AgenticAIfoundry:Frameworktosupportresponsibleandfuture-readyadoptionofAIagents

•E.ONpartnership:DeliveredanAI-enableddigitalworkplacemanagedservicesupporting77,000users

•GenAIandagenticAI-PoweredTCSMasterCraft:Enhancedlegacyapplicationmodernization,achievingupto70%costsavings

•SAPGenAIpartnership:UtilizingpaceportsandAIcenterstoscaleGenAIsolutionsforSAPcustomers

HCLTech

wr

Copyright©2026CapgeminiAllrightsreserved7

ClientexpectationsarereshapingADMengagements

Keyshiftsdrivingchange

Evolutionof

outsourcingand

IT

Globaldigitaltransformationinvestmentisaccelerating,increasingpressureonorganizationstodeliverspeed,reliability,andclearbusinessvalue

Enterprisespivottocloud-native,GenAI-enabledecosystemstostaycompetitiveamideconomicvolatilityandregulatoryshifts

Agile-at-scaleandplatform-ledorchestrationbecomeessentialasorganizationsseekadaptabilityinuncertainmarkets

Engagementsshiftfromreactivesupporttopredictive,autonomousoperations,reducingdowntimeandimprovingROI

Macroeconomicheadwindsacceleratethemovefromeffort-basedbillingtovalue-linkedconstructslikeoutcome-basedandgain-sharemodels

Pricingframeworksnowemphasizerisk-sharing,transparency,andmeasurableimpacttojustifyGenAIinvestments

Changein

engagementmodel

Shiftin

commercialandpricingmodels

1

2

3

Copyright©2026CapgeminiAllrightsreserved8

Evolutionof

outsouΓcingandIT

CompanyConfidential

FutureofADMEvolutionofoutsourcingandITChangeinengagementmodelShiftincommercialandpricingmodels

Outsourcinghasevolvedfromcost-centricoutsourcingtoautonomousecosystems

FocusedonSLA-drivendeliveryandcost

reductionthroughoffshoremodelsand

standardizedprocesses

Embracingcloud-nativearchitectures,

agile-at-scale,andDevOpstoaccelerate

deliveryandimproveresponsiveness

Enablingself-healingsystemsandagentic

AItofosterstrategicco-innovationand

autonomousservicedelivery

LeveragingGenAI,hyper-automation,and

outcome-basedmodelstodrive

intelligentoperationsandsustainableIT

Digital

transformation

ADM

services

Cloud

FuturereadyITecosystems

TraditionalADMservices

Digital

3

4

1

GenAIandoutcome-basedmodels

AgenticAIandstrategicco-innovation

2Cloud-nativeandagiledelivery

Efficiencyandcostcontrol

GenAI,hyper-automationandsustainability

•Thisphasesawamovetocloud-nativedesigns,agile-at-scale,andDevOps,

withmanagedservices

•Focusingondigitaltransformation

andflexible,scalable,platform-basedsolutionstomeetclientneeds

Digital-firstmanagedservices

Traditionaloutsourcing

Autonomousandagenticservices

•Managedservicesareevolvingwith

autonomousAIsystemsthatself-heal

andadapt,requiringlittlehuman

involvement

•Whilecollaborationbetweenclientsandproviderscreatesintelligent,predictive,andresilientIToperations

Intelligentmanagedservices

•Outsourcingstartedasacost-cuttingapproachfocusedonmeetingSLAs

andoffshorework,reactingmainlytoserviceticketswithstandardprocesses

•Workedforstablesettingsbutlackedflexibilityandinnovation

•IntelligentservicesleverageGenAI,

hyper-automation,andoutcome-

basedmodelstoenhanceoperations,

promoteinnovation

•SupportingESGgoals,improvingefficiency,reducingcosts,and

boostingUX

Clickformoreinformation:

EvolvingvalueofappliedAI

,

EvolutionofAI

Copyright©2026CapgeminiAllrightsreserved10

Copyright©2026CapgeminiAllrightsreserved11

FutureofADMEvolutionofoutsourcingandITChangeinengagementmodelShiftincommercialandpricingmodels

Technologyleversaddressbusinessimperativesformodernenterprises

Evolveyour/T

withAI

andsolvefor

Fastertimetomarket

Cost

optimization

ImprovedCXforIT

Dataqualityandcompliance

Data

management

Optimizedatadiscovery,

classification,policy,

enforcementandrisk

monitoring

Operationalefficiency

DRIVENbyAI-ENABLED…

Hyper-

automation

Customeroperationsandendusersupport

Enableautonomousmulti-

channel,personalized,

context-awarecustomer

interactions

Agiledelivery

Autonomousoperations

SuperchargetraditionalautomationthroughA/

Accelerateend-to-end

softwaredevelopment

lifecycle

Revolutionizeenterprise

applicationsupportusing

cognitiveandautonomous

capabilities

IToperations

•AI-poweredITservicedesk

•AI-poweredcustomizedM365copilots

•AI-poweredapplicationmanagedservices

•AI-poweredcloudoperations

•AI-poweredsecurityoperationcenter

ITagility

•AI-poweredapplicationmainframerefactoring

•AI-poweredERPlegacycodemodernization

Customapplications

•AI-poweredcustom

applicationengineering

•AI-poweredSAPS/4HANAengineering

Datatrust

•Dataintegration,DQM,datasecurity,data

compliance,automation,scalability,observability

Copyright©2026CapgeminiAllrightsreserved12

FutureofADMEvolutionofoutsourcingandITChangeinengagementmodelShiftincommercialandpricingmodels

AIassetsAIoffersportfolioAIvision

ResonanceAIFramework

Access

Adapt

Adopt

Human-AIChemistry

Delivernewvalue,new

experiences

withAI

Newexperiences

New,refreshedproducts

NewproductswithAIbuiltin

Boostyour

GTM

withAI

Upliftyour

businessoperations

withAI

Evolveyour

IT

withAI

E-commerce

Customeroperations

Sales

Industrialoperations

Marketing

Back-officeoperations

DataandAIfoundations

DataandAIgovernance,

strategy,readiness

DatamanagementandAItrust

Dataplatform

AIandanalytics

Processhyper-automation

RAISE

AIagent'sgalleryAIagent'sbuilder

Turningclients’AIambitionintomeasurablebusinessimpact

Copyright©2026CapgeminiAllrightsreserved13

FutureofADMEvolutionofoutsourcingandITChangeinengagementmodelShiftincommercialandpricingmodels

GenAIatthecore:ReinventingADMrolesanddelivery

GenAIImpactacrossADMrolesandcapabilities

PLAN

GenAIistransformingADMacrossthelifecycle

ADM

Function

EvolvingRole

Automation

Comment

AI-assistedrequirement

gatheringanduserstory

generation

Requirementsgathering

Businessanalysttopromptengineer

LowHighHighambiguityandhuman-centric

BUILD

inputslimitautomationfeasibility

Development

SoftwaredevelopertoAIengineer

LowHigh

GenAItoolsassistcodingbuthumanoversightisstillcritical

Codegenerationviatools

likeGitHubCopilot,reducing

effort

TEST

TestingandQA

QAtesterto

autonomousQAagent

LowHigh

Structuredinputsandrepeatabletasksenablehighautomation

accuracy

Autonomoustestcasecreationandexecution

Operationsand

monitoring

ITopsspecialisttoAIOpsspecialist

LowHigh

MatureAIOpssystemssupport

incidentpredictionandresolution

RUN

PredictiveAIOpsandself-healingsystems

OPTIMIZE

User

experience

UXdesignerto

conversationaldesigner

Governance

LowHigh

DeliverymanagertoAIgovernancelead

LowHigh

AIassistsininterfacedesignbutcreativityremainshuman-led

Requireshumanjudgmentandethicalconsiderations

Continuousimprovement

viatelemetryandGenAI

insights

GlobalmajorslikeMicrosoftAzure,AWS,GoogleCloud,SAP,Oracle,andAdobearenotjustautomatingtasks-

theyareredefiningroles,enhancingworkflows,andenablingintelligentdeliveryacrosstheADMvaluechain.

FutureofADMEvolutionofoutsourcingandITChangeinengagementmodelShiftincommercialandpricingmodels

AgenticAIBOTs*

•What’swoΓking?

•GenAIadoptionisstrongintestingandQA,drivenbystructuredinputs,repeatabletasksenablinghigh

automationaccuracy

•MaintenanceandmonitoringbenefitfrommatureAIOps,handlingincidentprediction,rootcause

analysis,andself-healing

•Post-productionstagesseeGenAIusinghistoricaldataandpatternrecognitionforcontinuous

improvement

Deploy

Growthfrontiers

Stablezone

Maintain

and

improve

Stablezone

Developandbuild

TestingandQA

Operateand

monitor

ADMvaluechain

BcsthoraiEstherai

Salesforce

Devin含odoQodo

GithubCopilotdiffblue.diffblue

sruncticonizeFunctionize

ContextQAJenkins

CI/CD

Testcraft

M-testimapplitoolsApplitools

Katalon八CCELQAccelQ

品appvanceAppvance

testsigma"testsigma区testRigortestRigor

GenQE

Qualiti

LambdaTest

RoostAI

HyperExecvte⃞HyperExecuteE团MangnifAI

reliCX

What’snotwoΓking?

•Requirementgatheringanddevelopmentstagesremainunder-leveragedbyGenAIdueto:

•Highambiguityandhuman-centricinputs

•Lackofstructured,reusabledata

•LimitedtrainingdataduetoconfidentialityandlowtrustinAI-generatedartifacts

•Planninganddesigntoolsaresiloed-focusedmore

onbacklogautomationthanholisticdesignsynthesis

Possibilities

•Opportunitytoinvestinmappingrequirements,

planninganddevelopmenttools-especiallyGenAI-drivendesignassistantsandautonomouscoding

copilots

•FutureADMplatformswillrelyoncross-stage

orchestration-toolsthatspanplan→build→test→runenablingcontinuityandtraceability

*BotsList-Non-Exhaustive

Fromrolestovaluechains:HowagenticAIbotstransformADM

Planning

Requirementgathering

and

design

Emergingopportunityzones

Copyright©2026CapgeminiAllrightsreserved14

*A/BOTsmapping-asofQ42025

Cluster

GenAIcoverage

Transformationpotential

Opportunitythemes

Emergingopportunityzones

Low

Veryhigh

GenAIcreativity,autonomouscoding,designassistants

Growthfrontiers

Medium

Medium-high

PredictiveOps,autonomousdeployment,observability

Stablezones

High

Low

Automation,QAacceleration,reliability

Triggers

Whatclientsneedtoconfront

Observations

ArewestillusingSLA-drivencontractsasoutsourcingshiftstoautonomousecosystems?Whichcanwetransitionto

outcome-basedinthecomingyear?

Wheredowestartbuildingthecross-stageagentthatprovesvalue-chainorchestration?

•Whicharea(Requirements→Build→QA→Ops)demonstratesthefastestROI?

Isourtalentmodelready?

•Whatisourreskillvs.redeployvs.retireroadmapforGenAI-erarolesbeforeclientsdictateit?

DowehavestructuredframeworksandtrainingprogramstomanagetheshifttoGenAI-enabled,platform-led

orchestration?

•Howdoweenableworkforceupskillingforintelligentoperationsandpredictiveservicedelivery?

What’schanginginoutsouΓcing

•Evolutionofoutsourcing:Outsourcinghas

shiftedfromcost-centricSLA-drivenmodelstocloud-native,agile,andnowGenAI-powered

ecosystems

•GenAIimpact:RedefinesADMrolesacrossplanning,development,testing,and

operations

•AgenticAIbots:Transformvaluechains,

creatingnewopportunityzonesindesignandcontinuousimprovement

•Upskillingandtalentmodelredesignarenow

foundational,notoptional

Copyright©2026CapgeminiAllrightsreserved15

Changein

engagementmodel

CompanyConfidential

FutureofADMEvolutionofoutsouΓcingandITChangeinengagementmodelShiftincommeΓcialandpΓicingmodels

WhyADMengagementmodelsmustevolve-Threelensesoftransformation

ADMengagementmodelsmatureacrossthreelenses-effort,experience,andbusinessvalue-progressingfromassistivetoautonomoustoagenticstages,poweredbyGenA/andplatformorchestration

EffoΓt

optimization

StΓategicdΓiveΓs

KeyenableΓs

Outcomesofadopting

•Talentscarcity

•Needforspeed

•Costpressure

•Industrializeddelivery

•Vendorconsolidation

•Lifecyclesupportmodel

•Rightshoring

•Lowtouchapplications

•Effortreduction,shiftfromeffort-basedtooutcome-baseddelivery

•Reducetoilandcycletimeacrossplan-build-test-Γun

•GenAIcanautomatelargeportionsofwork

•Increaseinusersatisfaction,reducedfrictioninworkflows

•Experienceasadifferentiator,predictiveops

•AI-assistedknowledgelowersMTTxandimproveDevExandusersatisfaction

•Integratedobservability

•Modernizedlandscape

•AgiledeliveryandDevSecOps

•Productcentric

•Consumerizationofenterprisetech

•Experience-ledtransformation

ExpeΓienceenhancement

•Board-levelfocusonROI

•Shifttovalue-basedcontracts

•Competitivepressure

•Experience-alignedservices

•Businesseventmanagement

•Businessinsightsbyvaluechain

•Fastertime-to-value

•Measurablebusinessimpact

•Innovation-ledgrowth

•Connectengineeringandruntimetelemetrytobusinessobservability(revenueatrisk,cost-to-serve)

Business

value

Γealization

Copyright©2026CapgeminiAllrightsreserved17

FutureofADMEvolutionofoutsourcingandITChangeinengagementmodelShiftincommercialandpricingmodels

Fromlineardeliverytoplatform-ledorchestration,engagementmodelsarebecomingmodular,intelligent,andGenAI-enabled

Engagementmodel

Client

control

Vendor

control

Abilityto

adapt

Accuracy

Innovation

potential

Cost

efficiency

Benefits

Builds

required

Waterfall:Lineardeliverywithfixedscopeandtimelines

Agile:Sprint-baseddeliverywithcontinuousfeedback

Cohesivemulti-vendor:Jointdeliverybystrategic,IT,andopsvendors

Outcome-driven:KPI-leddeliveryfocusedonbusinessresults

Platform-led:Modularplatform-baseddeliveryalignedtobusinessKPIs

Shiftedfromtask-baseddeliverytomodular,GenAI-enabledco-creationwithvendors

Evolvedfromefficiency-focusedmodelstooutcome-driven,intelligentoperations

MovedfromsiloedADMphasestoplatform-

ledorchestrationacrossthefulllifecyclewith

agenticAIcapabilities

-High.-Medium-Low

Whentouse?

Whenrequirementsarefixed,timelinesarepredictable,andadaptabilityislow

Whenspeed,flexibility,anditerativedeliveryarecriticaltosuccess

Whenmultiplevendorsmustalignonstrategicdeliveryfortheclient

WhendeliverymustbetiedonlytoKPIsandisalignedtobusinesspriorities

Wheninnovation,andenterpriseintegrationarepriorities

Copyright©2026CapgeminiAllrightsreserved18

Copyright©2026CapgeminiAllrightsreserved19

PΓos

Cons

Whatitis

Engagementmodelsarenolongerstatic-theyareadaptive,intelligent,andoutcome-aligned[3]

Frominnovationtooptimization:Theevolvingengagementmodel

Innovationmode

Supportsexploratoryusecases,pilots,andAIexperimentswithlight

governanceandflexiblearchitectures

-Encouragescreativityandrapidprototyping

-Lowbarrierstoentry

-Drivesdiscoveryofnewideas

-Highambiguityandrisk

-Limitedscalability

-ROIuncertaininearlystages

Adoptionmode

Bridgesinnovationandoptimization;applieslessonsfrompilotsenterprise-wide;ensuresgovernancefornew

dataandscalessuccessfulconcepts

-Structuredpathtoscale

-Captureslearningsfrompilots

-Fastertime-to-market

-Requiresstrongchangemanagement

-Governancecanslowagility

Optimizationmode

Focusesonstable,production-readyusecases;heavyinvestmentin

pipelines,controls,andgovernance;precisionandrepeatabilityarekey

-Highreliabilityandpredictability

-StrongROI

-IntegratedwithSLAsandcompliance

-Lowflexibility

-Innovationslowsdown

-Highupfrontinvestment

FutureofADMEvolutionofoutsouΓcingandITChangeinengagementmodelShiftincommeΓcialandpΓicingmodels

WhythismatteΓs?

•Avoidfragmentedpilotsor“boiltheocean”programs

•Adoptioncreatesastructuredpathfrominnovationtooptimization

•Keepsexperimentsconnectedandoptimizationsrefreshedbynewideas

Copyright©2026CapgeminiAllrightsreserved20

FutureofADMEvolutionofoutsourcingandITChangeinengagementmodelShiftincommercialandpricingmodels

EnablingAIadoptionandbusinessgrowththroughengagementmodeltransformation

Whychangeinengagementmodeliscriticalforsuccessful

AIadoption[3]

•Adoptionchallengesgobeyondtech-organizationalreadinessiskey

•AgenticAIdemandsrethinkingworkflows,roles,anddecisionrightsbeyondIT

Humanrolesevolve:

Developersfocusonsemanticsandknowledge

Managersbecomeorchestratorsofautomationratherthantasksupervisors

AnalystsshiftintocuratorsofcontextinsteadofbasicdataprocessorsChangemanagementisessentialfor:

Buildingtrustin

autonomous

systems

Aligningincentives

Redesigningprocesses

Withouttraining,communication,andchangemanagement,companiesoftenseepoorROIfromAIprojects

Outcomesofadoptingaproduct-ledengagementmodel[1]

RevenueandProfitabilityGrowth

Leverageplatformalignmentwithbusinessprioritiestodriveincrementalrevenuestreams

OperationalCostSavings

Utilizeautomationandscalableplatformstosustainablyloweroperatingexpenses

EnhanceCustomerSatisfaction(CSAT)

Adoptaplatform-ledoperatingmodeltoenabletailored,agilecustomerexperiences

Increaseinemployeesatisfaction

Buildacollaborativeworkplaceculturetodrivehigherengagementlevels

Reductionintime-to-market

Optimizeproductandplatformteamstructurestoenablefasterproductdelivery

11

Months

>50%

>53%

>25%

>26%

AIadoptiondemandsengagementmodelchange-alignincentives,redesignprocesses,andbuildtrustinautonomoussystemstounlockgrowthandefficiency

FutureofADMEvolutionofoutsouΓcingandITChangeinengagementmodelShiftincommeΓcialandpΓicingmodels

Contractmodels:Aligningengagementtosystemtypes

Contractmodelsareshiftingfromrigid,SLA-drivenstructurestoflexible,risk-sharingagreementsthatenableagility,innovation,andco-creation

TypeofcontΓacts

Meaning

Needs

Change

velocity

ContΓactstΓuctuΓe

Solutions

Rationale

PΓicingandΓiskshaΓing

RemaΓks

Systemofrecord→predictabilityandcompliance

Todrive

foundational,back-endapplicationsthatmanagean

organization'scoredata

•

•

Core

transaction

processing

Criticalmasterdata

•

•

•

Longer-term,stable

engagementmodels

Clearlydefinedscopewithcontrolledchangemechanisms

Emphasisonoperationalcontinuityand

compliance

•

•

•

Coreenterprise

platforms

Transaction-processingandmaster-data

systems

Standardized

platformswithstrongcompliancecontrols

•

•

•

PredictabilityVendor

investmentCost

efficiency

Blendedbase(FPC/T&M)+

SLA/KPI;selective

outcomeincentives;platform-ledfor

stability

Optimizedfor

reliabilityand

compliance;lowerchangerates

Systemof

differentiation→

agilityandflexibility

Toenableunique

companyprocessesorindustry-specificcapabilitiesthat

providea

competitiveedge

•

•

Unique

processes/

capabilities

Bestofbreed,

SaaS,modulesofasuite

•

•

•

Shortercontractcycleswithbuilt-inflexibilityPeriodicscopeand

priorityre-alignmentOptionalitytoscaleservicesupordown

•

•

•

ConfigurableSaaSplatformsand

packaged

applications

ModularbusinesscapabilityservicesLow-code/

workflow-drivenextensions

•

•

Competitivepressure

Agilityandflexibilty

Higher

gain-share/outcomeexposure;

backlog/feature

throughputpricing;story-pointcatalogs

Bestsuitedwherespeedand

adaptabilityare

strategic

differentiators;

requireagilityandco-innovation

Todriveradical,newideasandcreate

breakthroughsthathavethepotentialtobecomefuture

revenuedrivers

Systemofinnovation

→

rapidpivotsandriskmitigat