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ALAGENTS
TheCaseforthe
UnifiedAgenticCoreinInsurance
Gugfelmn,aicadoPalozsso,NicolasLbpezPolo,chstophFisc,Ncolas
ARTICLEOCTOBER21,20268MINREAD
Alisreshapingeveryindustry,butinsuranceisespeciallyexposedbecauseitisamongthemostdataintensive.ThequestionforCOOsandCIOsisnolongerwhatagenticAlcandobutwhat
decisionstheymustmaketotransformtheircoresystemsoit'scapableofscalingandcapturingthetechnology'sfullbenefits.Itisauniqueopportunityforinsurancetechleaderstoguidetheagentictransformation,andchoosingtherightcoremodernizationarchetypeisvitallyimportant.
◎2026BostonConsultingGroup1
Bynow,mostinsurancecompaniesareatleastpilotingagenticAIsolutions.Manyarestartingtoscalethem,andafewindustryleadersarealreadyreapingclear,measurablebenefits.BasedonBCGexperience,commercial
propertyandcasualtyinsurance
,forexample,candrasticallycut
underwritingcyclesfrom10to20daysto1to2days,whileclaimscanbenefitfromasignificantincreaseinstraight-throughprocessingofupto70%to90%,aswellascontributingtomaterialimprovementinlossratio.Giventhispotential,manyindustryleadersarelookingforwaysto
incorporateagenticelementsintothecore.
TheThreeArchetypesforCoreModernization
Therearethreeprimarywaystotransformcoresystemsbyintegratingagenticelements:keepinganexistingcoreplusanagenticplatform,usinga“skinnycore”plusanagenticplatform,and
choosingaunifiedagenticcore.Eacharchetypecapturesvalueatadifferentpace,andeachcarriesitsownleveloftransformationrisk.
ExistingCorePlusAgenticPlatform.Thisapproachkeepsthelegacycorelargelyunchangedwhiledeployinganagenticlayerthatconnectssecurelytocoresystemsanddata.
Advantage:Thefastestroutetoimpactwiththeleastamountofdisruption,sincethelegacycorestaysuntouched.
Tradeoff:Legacycoreandintegrationcomplexityconstrainbenefits,andduplicateorchestrationlayerstendtobuildupovertime.
SkinnyCorePlusAgenticPlatform.Thisarchetypereducescorescopebymovingcustomerinteraction,workfloworchestration,businesslogicandrules,automateddecisionmaking,
documentprocessing,andpartnerorchestrationtotheagenticplatform.Rawdata,financialprocessing,reinsuranceaccounting,regulatoryreporting,andtheaudittrailstayinthecore,integratingwiththedataplatform.
Advantage:CapturesmostAI-enabledvaluewithoutwaitingforfullcorereplacement.
Tradeoff:Transitioncomplexityrelatedtoarchitecturalchoices(suchaswhattoretain,shift,orreplace)andtheadaptationofdatastructuresandintegrators.
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UnifiedAgenticCore.Withthisapproach,deterministiccoreandagenticcapabilitiesare
designedanddeployedtogetherasasingleAI-nativestackintegratedwiththeexistingdataplatform.
Advantage:Createsthemostfuture-proof,AI-nativearchitecture,withcoreandagentsdesignedasonesystemratherthantwo.
Tradeoff:Involvesthehighesttransformationeffortandrisk,requiringbroadercoreredesign,strongerengineeringcapacity,andalongerpathtovalue.
Vendorsthatoffercoresystemplatformsforinsurancecompaniesarealreadyrollingoutagenticcapabilities.Forexample,inAugust2026,GuidewireintroducedanagenticframeworkthatgivesinsurersthetoolstobuildandruntheirownAIagentsontheGuidewireCloudPlatform.Duck
Creektookasimilarroute,launchinganagenticAIplatformbuiltonaninsurance-specific
intelligencelayerwithfine-tunedlanguagemodels,machinelearning,andrule-basedreasoninggroundedineachcarrier’sowndataandconfigurations.
Thisactivitymighttemptinsurerstowaitforvendorstobuildplatformmodelsthatsuitthem.Yettherearethreeargumentsagainstwaiting:
ThevendorrolloutofAI-enabledplatformscouldbetooslow.
Thosewhobuildtheoperationalanddatafoundationfirstwillhaveacompetitiveadvantage.Avendorplatformbuiltforgeneralusewon’tincludeaninsurer’sowndataontology.
MakingtheCasefortheUnifiedAgenticCore
Ofthethreearchetypes,onlytheunifiedagenticcoresolvestheunderlyingintegrationproblemswithexistingsystemsanddataplatforms.Whilethealternativesdoprovideatemporary
productivityboostasagentshelpdevelopersbuildfaster,theyaddextralayersonanexistinglandscape.Withtheunifiedagenticcoreapproachthereisonesystemratherthantwoormore
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thatmustbeintegrated,withdeterministiccomponentsandagentic(probabilistic)componentsoperatingonthesamesubstrate.
Ofthethreearchetypes,onlytheunifiedagenticcoresolvestheunderlyingintegrationproblemswith
existingsystemsanddataplatforms.
Someadvantagesofaunifiedagenticcoreinclude:
Fasteriterationbecauseprocesschangesoccuratasingleconfigurationpoint
Sharedlearningbecauseagentsaccumulateknowledgefromthesamedataassetsthatsupporttransactionalprocessing
Lowerruncostsbecausetheunifiedagenticcorerequiresfewerredundantlayersforhighavailability
Robustcontrolbecausegovernanceandhuman-in-the-loopgatesareembeddedendtoend
SolvingtheOrchestrationProblem
Fortheunifiedagenticcoretofunctioneffectively,insurancecompaniesneedtoorchestrateagentstoensuretheyfollowtherightsequenceofactionsataspecifictimeanddon’tact
independently.Thisisespeciallytruewhenprocessesrequirecoordinationacrossmultipleagents.Underwritingintegratesexternaldata,riskassessment,pricing,andacceptance
decisions.Claimsmanagementcoordinatesfirstnoticeofloss(FNOL),triage,damageassessment,frauddetection,settlement,andrecovery.
Withoutanorchestrationlayer,autonomousagentsmaycontradictoneanother,duplicateefforts,orstallwaitingforinputsthatnooneanticipatedproviding.Agenticorchestrationaddressesthisthroughathree-tiercontrolhierarchy:
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Anorchestrator(the“brain”)isameta-agentthatgovernsprocessflow.Itknowstheoverallstateofaprocess(aclaim,anunderwritingsubmission,oracustomerrequest,forinstance)anddecideswhichagenttoactivate,inwhatsequence,withwhatinputs.
Specialistagentsmanagespecificsubprocesses(includingFNOL,damageassessment,liabilityevaluation,andreservemanagement),eachwithautonomyboundedtoitsownperimeter.
Subagentsandcapabilitiesexecutegranulartaskssuchasextractingtextfromadocument,callinganexternalAPI,andcalculatingareimbursementvalue.
Thisthree-tierdesignallowsforthereuseofagentsacrossbusinessunitsandlinesofbusiness(forexample,aninsurercanshareaclaimstriagespecialistagentacrossdifferentlinesof
business),supportsauditingateverystagegate,andaddshumanoversightwherecomplianceorriskrequiresitwithoutslowingtheoverallprocess.
FollowingtheProcessBlueprint
Themechanismthatmakesthishierarchyfunctionalistheprocessblueprint,acentralconceptintheunifiedagenticcorearchitecture.Theblueprintdefinesthestructuralboundariesof
execution:whichstagesexistinaprocess,whatmusthappenbeforemovingbetweenstages,whichagentscanbeusedateachstage,andwhatoutputsareexpected.
Theprocessblueprintisthesinglepointofconfigurationforworkflowsandagents,definingwhenexecutionmustfollowfixedrules(suchaswithmandatorystagegates,certifiedcalculations,andauditableoutputs)andwhenagentshaveautonomy(suchaswithambiguitymanagementand
personalizedcustomerdialogue).
Theblueprintisanexecutableartifact.Theplatformreadsitatruntime,feedstheapplicationdatabase(whichmaintainstheauthoritativestateofeachprocessinstance,capturingboth
deterministictransitionsandagenticactions),andisverifiedbytheaudittrail.Itservesasthecontractbetweenbusinesslogicandagenticexecution.
BuildingtheDataOntology
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Inadditiontoimplementingtheunifiedagenticcore,techleadersneedtoensurealltheagents
arespeakingthesamelanguage.Otherwise,eachagentspeaksitsowndialect,givingdifferent
meaningstothesamesetofconcepts.Datawillbetransformedateveryhandoff,meaningwillbelostintranslation,anderrorswillpropagate.
Techleadersneedtoensurealltheagentsare
speakingthesamelanguage.Otherwise,eachagent
speaksitsowndialect,givingdifferentmeaningstothesamesetofconcepts.
Withoutasharedlanguage,howcanafrauddetectionagentknowthata“car”inasubmissioncorrespondstothesame“vehicle”inmotorvehicleregistrationauthoritydataandisthesame“auto”inthecustomer’sclaimreport?Howcanapricingagentknowthatthecoverageitis
evaluatingalreadyhasanassociatedexclusioninthesystemofrecord?
Insuranceontologyistheanswer.Itprovidesashared,machine-readablerepresentationofthe
insurancedomain.Someexamplesincludeentities(policy,risk,claim,party,coverage,and
premium),relationshipsbetweenentities(apolicycontainsoneormorecoverages,aclaim
belongstoapolicy,apartymaybeeithertheinsuredortheclaimant),attributes(types,
constraints,andunitsofmeasure),andbusinessrules(coveragecannotexceedagivenlimit,andaclaimmustbenotifiedwithinacertainnumberofdaysofthelossevent).
Theontologyisalivingdatainfrastructurethatevolveswiththebusinessandwiththeknowledgethatagentsaccumulateovertime.Itisgovernedascodeandcanbemaintainedbysegregatingitacrosssubbusinessdomains.Forexample,aproductmayberepresenteddifferentlyfroma
customer’sperspectivethanfromanengineeringperspective,witheachviewdefiningauniquesetofsubobjectsandattributes.Becausetheontologyisdeeplyembeddedinthecoreand
constantlyevolving,it’snotsomethingthatcaneasilybeoutsourced.
Whiletheneedforacommonlanguageisintuitive,it’sworthsummarizingtheprofoundbenefitsofhavingone:
SharedComprehensibility.Regardlessofwhobuiltit,eachagentusesthesamedefinitionsofbasicconcepts,eliminatingmanualtransformationbetweensystemsanddrastically
reducingintegrationbugs.
ContextualReasoning.Anagentreasonsoversemanticallyrichconcepts,notrawdata.Thisimprovesreasoningqualityandreduceshallucinations.
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EmbeddedGovernance.Agoodontologyembedscompliancerules(suchastheEU’sGeneralDataProtectionRegulation)asconstraintsondataorrelationships.Anagentattemptingtoaccesspersonaldataoutsideitsauthorizedscopeisblockednotbyanexternalfirewallbutbythestructureofthedataitself.
ContinuousImprovement.Whenagentslearnfromexperience,theydosooverashared
vocabulary.Insightsaccumulatedbyamotorfrauddetectionagentpropagateautomaticallytothepropertyfrauddetectionagent,becausebothoperateonthesameconceptof“claimfraudpattern.”
ForCOOs,CIOs,andothertechnologyleaders,thebusinesscaseforagentic-drivencore
transformationisnolongerinquestion.Theshiftisalreadyunderway,andthewindowtoshapewhatgetsbuiltwillremainopenformonths,notyears.
Inthefaceofthistimepressure,techleadersshouldrecognizethattheyowntwokeydecisionsrelatedtothistransformationthatcannotbeoutsourced.Thefirstischoosingtheright
architecture.Althoughbuildingaunifiedagenticcoreinvolvesmoreeffortandrisk,broadercoreredesign,strongerengineeringcapacity,andalongerroutetovaluethanotherapproaches,webelieveitisthebestlong-termoptionformostinsurers.Theseconddecisionisbuildingand
managingthedataontology.Makingthecorrectchoicesinthenextfewmonthswillputtheorganizationonaclearpathtosuccess.
Authors
FabrzioPessina
ManagingDirector&SeniorPartner
Milan
NicolásLópezPolo
ManagingDirector&Partner
Madrid
RobertoBosisio
ManagingDirector&Partner
Milan
ChristophFritsch
ManagingDirector,BCGPlatinion
Vienna
NicolasGuglielmi
Principal
Milan
RiccardoPallozzi
PlatinionAlTechArchitectureDirector
Milan
◎2026BostonConsultingGroup
©2026BostonConsultingGroup
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