AI真相幻觉：企业级AI错误与数据可信度研究+AIs+Illusion+of+Truth+：The+Data+Behind+AI+Errors

Foreword

Artificialintelligencenowdominateseveryboardroom.Everyone’sracingtodeployitbutalmostnooneisaskingtheonlyquestionthatmatters:

Canyoutrustthedata?

Intheenterprise,accuracyisn’toptional.It’sthedifferencebetweenclarityandchaos.WhenAIguesses,companiesget:badinsights,baddecisions,complianceexposure,andadangerousillusionofconfidence.

Withautonomousagents,thestakesspikeevenhigher.Onebaddatapointbecomesten.Tenbecomeahundred.Riskcompounds.Operationsbreak.

Terzowasbuiltforthismoment.

Ourbeliefissimple:AImustbegroundedintruth.Nothype.Truth.

That’swhyNirvanAI,Terzo’slatestproductrelease,isdifferent.It’snota

chatbotsittingontopofmessyPDFs—it’safull-stackenterpriseAIplatformpoweredbya99%-accuratedatafoundationwithhumansintheloop.

Cleancontract,spend,andrevenuedata.Trustedanswers.Realoutcomes.

IfyouwantGenAIthatactuallymovestheneedle,youstartwiththedatalayer.

Data-layerintelligence+autonomousagentsisthenewoperatingsystemforfinanceandTerzoisalreadybuildingit.

—BrandonCard

CEO,Terzo

TERZ1

TERZ2

TableofContents

TheAge

ofAIIllusionUndertheSpotlight:

3

TheConfidence

Trick:5ExamplesofAIHallucination

7

CracksintheAct:HallucinationRatesofAIModels

Revealingthe

BiggestAIRisks

5

4

BehindtheScenes:HowOftenAIis

ActuallyChecked

6

TheReveal:

NirvanAI:Builton

9Rsl,i

WhatReallyBuildsTrustinAI

8

GetRealFinancialResultswithNirvanAI

10

TheAgeofAIIllusion

AIhascastaspelloverthe

businessworld—capturing

imagination,budgets,and

headlines.Buttheresultstelladifferentstory.Nearlyeverycompanyisexperimenting

withAI,yetfewerthanhalf

canshowrealfinancialreturn.

Theissueisn’tambition—it’smisplacedtrust.What

appearsintelligentoften

hidesinaccuracy,bias,andincompletedata.

Leadersnowfaceachoice:staydazzledbytheillusion,orlookbehindthecurtainanddemandproof.

BecausewithAI,confidencewithoutaccuracyisariskindisguise.

88%

ofcompanies

useAIinatleast1business

function

39%

reporta

company-widefinancialimpact*

*MeasuredusingEBIT(earningsbeforeinterestandtaxes).

Source:McKinsey,onlinesurveyof1,933participantsconducted

June25toJuly29,2025.

3

Source:McKinsey,onlinesurveyof1,753participantsconductedJune25toJuly29,2025.4

UndertheSpotlight:

Revealingthe

BiggestAIRisks

Eventhebestillusionshavetheirglitches.JustoverhalfofcompanieshavealreadyseenAIbackfire,

andthemostcommonrisk,byfar,isinaccuracy.

Leadersaretakingthisriskseriously.Today,54%oforganizationsarenowworking

tomitigateAI’sinaccuracies,recognizingthateverywrongoutputerodestrust,

wastesresources,andcompoundsstrategicrisk.

Explainability

14%

Everymodelmakesmistakes,butsomecreateerrorsmuchmoreoftenthanothers.

Cybersecurity

10%

RegulatoryCompliance

8%

Workforce

Displacement

6%

Unauthorized

orUnintended

Action

7%

Equityand

Fairness

7%

Inaccuracy

30%

ofCompanies

NegativelyImpacted

Personal

/Individual

Privacy

11%

Intellectual

Property

Infringement

8%

OrganizationalReputation

5%

CracksintheAct:

HallucinationRatesofAIModels

Whenaskedtoidentifyandcitenewssourcesfromanexcerpt,

manyoftoday’sAImodels

confidentlydeliveredwrong

answers.Theyrarelysignaled

uncertaintyorsaid“Idon’tknow.”

AIhallucinatesbecausestandardtrainingsystemsrewardguessingovershowinguncertainty.Thinkaboutitthisway:ifyouguessonamultiplechoicetest,youare

morelikelytogetitrightthanifyougivenoanswer.

Thisconfidenceillusionmisleadsteamsandmagnifiesrisk.And

withAIagents—whereevery

actionbuildsonthelast—eachmistakecompounds.

45%

94%

77%

76%

67%68%

40%

37%

5

Hallucinationratebasedonanswersthatwereeithercompletelyorpartiallyincorrect.Responseswherenoanswerwasprovidedwerenotconsideredahallucination.Source:ColumbiaJournalismReview,March2025.

BehindtheScenes:

HowLittleAI

IsVerifiedfor

Accuracy

AfterseeinghowoftenAImodels

hallucinate,thenextquestionis

howoftenbusinessesactuallycatchthoseerrors.AccordingtoMcKinsey,oversightvariesdramatically.Closetohalfoforganizationsreview40%orlessoftheoutputstheirgen-AI

systemsproduce.

ThatmeansmanycompaniesarestillrelyingonAIresponsesthat

maybeconfident,polished—and

completelywrong.It’sariskygapingovernance,andonethat’salreadycreatedcostlyconsequencesfor

businessleaders.Thenextfive

examplesshowwhathappens

whentheillusiongoesunchecked.

CompanyOversightLevels

Low

≤40%ofAIoutputreviewed

Moderate

41%to80%ofAIoutputreviewed

High

≥81%ofAIoutputreviewed

37%

HighOversight

21%

ModerateOversight

43%

LowOversight

Source:McKinsey,onlinesurveyof830participantsconductedJuly16to31,2024.

Totalexceeded100%duetorounding;thelargestcategory(≤40%ofoutputreviewed)wasreducedby1%toalignthechartto100%.

6

7

Source:Fortune,Reuters,CBC

TheConfidenceTrick:

3ExamplesofAIHallucination

Acrossindustries,companiesaremakingheadlinesforfallingforAI’stricks.

They’repayingthepriceinmanyways:

•Reputationaldamage

•Financiallosses

•Legalexposure

Deloitte

Alphaoet

Ain

anada

TheReveal:

WhatReallyBuildsTrustinAI

Theunpredictable,error-pronenatureofmanyAIsystems

makeithardforteamstorelyontheiroutput.Buttrustis

criticaltolong-termuseand,ultimately,seeingpositive

businessoutcomesfromAI.

Areviewofmorethan500

studiesonhumantrustinAI

pointstoaclearpath.The

strongestdriveroftrustis

capability:anAIsystem’sabilitytoeffectivelyperformtasks.

Factorslikeexplainabilityalsohelp,whenpeoplecan

understandhowananswerwasformed.

Tomovepastillusionandtowarddependableresults,leadersneedtoinvestinAIthat’scompetentandclear.

92

Capability

NumberofTimesCitedasaDriverofAITrust

67

Anthropomorphism*

47

IndividualFactors

41

37ExplainabilityPrivacyRisk

*AnthropomorphismisattributinghumancharacteristicstoAI.

Source:AI&Society,basedonasystematicreviewof562studiesofhumantrustinAI.

8

Builton

RealData,

accuratedatawithhumansintheloop

NotAssumptions

NirvanAIisanAIsystemgroundedinyourcompany’scontractdata.

Itmakeseveryanswertraceable,actingasasinglesourceoftruthforleaders.

Getinstantintelligentanswersthrough3keyfeatures:

Assistants

Copilotsthatsummarizecontracts,obligations,andrisksinseconds.Availablefornumerousroles:

Sales

SupplyChain

Finance

ProcurementLegal

Agents

Prebuiltagentsforspend,

compliance,andrevenue

insights,orbuildacustomagentthroughthedeveloperAPI.

Automation

Automaterenewals,approvals,amendments,andsupplier