AI智能体时代 技术指南2025 The Era of AI Agents Tech Guide 2025

TheEraofAIAgents

TechGuide2025

“ChatGPTbecomingincreasingly

agentic,meaningit’smovingfrom

simplyansweringquestionsto

performingtasksproactively”

–KevinWeil,OpenAICPO

AboutthisTechGuide

WelcometotheEraofAIAgents

Inthefuture,theseautonomous,intelligentsystemswillfundamentallychangeourworkingandpersonallives.

ThisTechGuideprovidesacomprehensiveoverviewof

thecentralroleAIAgentsplaywithindigitaltransformation.

Withcurrentperspectivesandpracticalinsights,thisguideshowshowcompaniescanautomateprocesses,createpersonalizedexperiences,anddriveinnovation.

ThisTechGuideoffersyou:

→Acomprehensiveoverview:UnderstandtheroleofAIAgentsandwhytheyrepresentthenext

stageofdigitaltransformation.

→Currentperspectives:Learnhowcompaniesare

usingAIAgentstoautomateprocessesand

deliverpersonalizedreal-timeexperiences.

→Challenges:OvercomethehurdlesofAI

development,integration,andgovernanceforsuccessfulimplementation.

WhocreatedthisTechGuide?

Authors

AboutSHAPEDACHGmbH

SHAPErepresentspioneeringsolutionsandstrategicconsultingindigitaltransformation.With12yearsofexperienceandateamof140expertsacrosssixlocationsinGermany,Switzerland,and

Croatia,SHAPEofferscomprehensiveservicesininnovationstrategy,productandservicedevelopment,UXdesign,andcustomizedsoftwaresolutions.

Thecompany,whichhasreceivednumerousawardsandcertifications,ispartoftheinternationalMYTYGroup.

LasseGruner-Lüders

ManagingDirector

GarritFranke

SoftwareDeveloper&AIExpert

TatjanaSchultze

CommunicationsManager

CarolGrunerfeat.Midjourney

Design&CreativeAI

AI–AQuickOverview

TheFoundation:ArtificialIntelligence

ArtificialIntelligence(AI)usesalgorithms,machine

learning,anddataprocessingtorecognizepatterns,makepredictions,andadapttonewchallenges.Itisthedrivingforcebehindthenextwaveoftechnology.

AIisalreadybeingusedinvariousfields,fromvoice

assistantsandautonomousvehiclestodiagnosticsystemsandpersonalizedrecommendations.

AITransformationastheNextStageofDigitalTransformation

Source:InspiredbyNilsSeebachonLinkedIn

2025–2030

2030–2040

TimelinefortheDevelopmentofFutureAISystems–Don’tBelievetheHype!

Evolutionofcurrenttechnologies

TechnologicalbreakthroughsinmachinelearningandNLP,growingdemandforAIAgents.

●AIAgents

●EmotionalAI

●LimitedQuantumAI

Transitiontonewparadigms

Advancesincommunicationtechnologies

anddecentralizeddataprocessing,alongsideethicalandregulatorydevelopments.

●CollectiveAI

●BiologicalAI

●ExpansionofQuantumAIintonewindustries

2040andbeyond

TheeraofArtificialGeneralIntelligence(AGI)

Majoradvancesinalgorithmsandhardware,societalpressure,andcollaborationbetweenkeyplayers.

●AGIwithhuman-likeintelligence

●MergingofAGI,QuantumAI,CollectiveAI,andBiologicalAI

TheEvolutionofArtificialIntelligence

ArtificialNarrowIntelligence

(ANI)

Specializedinspecifictasks(e.g.,

languageprocessing,imagerecognition).

ArtificialGeneralIntelligence

(AGI)

Generalintelligencecomparableto

humanthinkingcapabilities.

ArtificialSuperintelligence

(ASI)

Surpasseshumanintelligenceandabilitiesinallareas.

DeepDiveAIAgents

AIAgents

AIAgentsareintelligentsystemsthatuseartificialintelligencetorevolutionizehowbusinessesandindividualsinteractwithtechnology.

Theygobeyondpredictivesystems:Unliketraditional

automationtools,whichfunctionmerelyas"co-pilots"orpredictivesystems,AIAgentsareflexibleandcapableoflearning.

DifferenceBetweenAIChatbotsandAIAgents

AIChatbots

Untiltheendof2024,AIChatbotswerethemostcommonandeverydayformofAItechnology.

TheyarebasedonLargeLanguageModels(LLMs),aremodality-bound,andrelyontheuser’schathistoryas

memory.Theirknowledgeisstaticandlimited,making

themprimarilysuitableforshort-term,well-definedgoals.

AIAgents

Sincelate2024,thefirsttrulypowerfulAIAgentshavebeenintroduced.

AIAgentsoperateonadynamicreasoningframework,

enrichtheirknowledgethroughtoolintegrationsand

long-termmemorysystems,andcanmakeindependent

decisions.WithaccesstoAPIs,externaldatasources,andadvancedfunctionalities,theyexcelinlong-term,complextasksfarbeyondthecapabilitiesoftraditionalchatbots.

DifferentANIAIModels

LLM

Prompt

LLM

Answer

LLM(e.g.ChatGPT)

RAG

PromptContext

ContinuousProcessing

LLM

Answer

RetrievalAugmentedGeneration

(e.g.CompanyChatbot)

AGENT

Prompt

Tools

Memory

LLM

Answer

Action

Newera:autonomousSystems

AIAgents:AutonomyandAction

Withsyntheticintuitionandmultimodaldataprocessing,

theydevelopadeepunderstandingofcomplexcontextsandactautonomouslybasedonextensivedataanalysis.Theycanindependentlyexecutetasksandmakereal-timedecisions.

Theseabilitiesmakethemindispensabletoolsintoday’sfast-paceddigitalworld.

AIAgentConcept

Action(e.g.bookingaflight,schedulingappointments)

3

4

AIAgent

BaseGPT

GenerateReponse

Planmyday

Tool

integration

Question&Context

LLMEndpoint

1Ingestion

learn

2

Long-termMemory:Storage&ContextRetrieval

2Retrieval

Memory

&DataBase

store

embed

split

1

3Augmentation

Chunks

DataSource

EmbeddingsEndpoint

4Generation

Differences:Automationvs.AIWorkflowvs.AIAgents

Aspect

Automation

AIWorkflows

AIAgents

TaskType

Deterministic,repetitivetasks

Morecomplextasks

requiringflexibility

Adaptive,dynamictasks

Strengths

Fast,reliable,easytoimplement

Patternrecognition,flexibledecision-making,analyticalabilities

Cananticipatenewscenarios,highautonomy

Weaknesses

Noadaptability

Requireswell-prepareddata

Lessreliable,unpredictableresultspossible

Examples

Emailfiltering,automatedinvoicing

Textgeneration,analysisbasedonuserinput

Chatbotswithcontext

understanding,adaptivetoolsforstrategy

MostCommonAIAgents

ReflexAgent

Directresponsetoconditions

Reflexagentsoperatebasedonsimpleruleslike"Ifx,theny".Theyare

straightforward,efficient,andidealfor

well-defined,predictabletasks.However,theircapabilitiesarelimitedasthey

neitherpursuelong-termgoalsnorlearnfrompastexperiences.

Goal-BasedAgent:

Plansactionstoachieveagoal

Agoal-basedagentisdesignedtopursueaspecificobjective.Itautonomously

createssequencesofactionstoreachitstarget.Theseagentsareparticularly

suitedfortasksrequiringflexibilityanddecision-makingindynamic

environments.

LearningAgent:

Adaptsandimprovesthroughexperiences

Learningagentstakethingsastep

further:theynotonlyfollowpredefinedorself-setgoalsbutalsocontinuouslyrefinetheiractionsthroughexperience.In

unknownorchangingenvironments,theygatherdata,analyzeoutcomes,and

adjusttheirstrategiesaccordingly.

StagesofAgenticness

Agenticness

ReflexAgent

Goal-BasedAgent

LearningAgent

GoalComplexityHowchallengingandflexiblearetheobjectives?

EnvironmentalComplexity

Howdynamicistheenvironment?

Adaptability

Howwelldoesthesystemadjusttounforeseensituations?

Autonomy

Howindependentlydoesthesystemact?

FourReasonstouseAIAgents

KeytoCompetitiveness&

Efficiency

Companiesfacepressuretoautomateprocessesinordertoreducecostsandincreaseefficiency.AIAgentsenablethe

automationofrepetitivetasksandtheoptimizationofcomplexworkflows.

MeetingHigherCustomerDemandsintheDigitalEra

AIAgentsprovidereal-timepersonalizedrecommendationsand24/7customersupport,leadingtohighercustomer

satisfactionandstrongercustomerloyalty.

WideApplicationAreas&

Scalability

AIAgentsareversatileandcanbeusedacrossindustries,

fromhealthcaretologistics.Withintelligentdatautilizationandcloudcomputing,projectscanscaleflexibly,whileedge

computingminimizeslatency.

Regulations&Ethicsasthe

BasisofTrust

TheEUAIActanddataprotectionregulationsestablishclearguidelinesfortheuseofAIAgents.Atthesametime,flexiblegovernancemodelsneedtobedevelopedtocomplywith

theseregulations.

TheUseofAIinCompanies

Industry-SpecificAIApplications

Industry

Optimizessupplychains,minimizesresourceuse,andincreases

efficiency.

Education

Supportspersonalizedlearningprogramsandautonomous

researchagents.

Healthcare

Assistswithdiagnostics,therapyplanning,andpatient

management.

Logistics

Simplifiesrouteoptimization,real-timetracking,and

warehousemanagement.

Retail

Enhancessupplychainsandoffersround-the-clockvirtualassistants.

Finance

Enablesdata-drivendecisionsandimprovesfinancialprocesses.

InvestmentsinArtificialIntelligenceAreRapidlyIncreasingWorldwide

GlobalMarketVolume

ProjectionsindicatethattheglobalAImarketwillreacha

volumeofover$1.847trillionby2030,withanaverageannualgrowthrateof32.9%between2022and2030.

ContributiontoGDP

Estimatessuggestthatby2030,AIcouldcontributetrillionstoglobalGDP,drivingfundamentalchangesinhowwework,

innovate,andsolveproblems.

InvestmentsintheUSA

USPresidentDonaldTrumpannouncedthe"Stargate"projectto

promoteartificialintelligence,withinvestmentsofatleast$500

billion.Thisprojectaimstocreateover100,000jobsandstrengthenAIinfrastructureintheUSAthroughtheconstructionofmassive

datacenters.

GermanSMEs

Arecentstudyshowsthatuppermid-sizedcompaniesinGermanyhavehighhopesforAI.54%ofrespondentsexpecttoincreasetheirbudgetsforAIprojectsbyupto25%.

Source:(1)produktion.de(2)(3)welt.de(4)AvanadeTrendlines:AIValueReport2025

AnAIAgentinyourcompany?

Manycompaniescanbenefitfromintegratingartificial

intelligence.However,choosingtherightAIsystemdependsentirelyonthecompany’sspecificneedsandprocesses.

Multi-levelagentsystemsonlybecometrulybeneficialwhensimplersolutionshavereachedtheirlimits.Forthisreason,astrategicAIconsultationisworthwhiletoidentifywhatthe

companyneedsandwhatcanrealisticallybeimplemented.

Source:

DemoGoogle’sCustomerAgent

ProperlyintegratingAIintoyourBusiness

BeforecompaniescaneffectivelydeployAIAgents,theymustfirstensurethatartificialintelligenceisseamlesslyintegratedintotheirprocesses.

Bytakingtherightsteps,businessescanensurethatAI

Agentsoperateefficientlyandsustainably,maximizingtheirbenefitswhileminimizingrisks.

IdentifyingUseCases

Withgreatercompetenceandacceptance,thenumberofusecasesincreases

BuildingAICompetence

ThroughtargetedandmandatorytrainingandaccesstoAIexperts

IncreasingAcceptance

Throughpositiveexamples,awareness-raising,andcompellingarguments

MeasurestooptimizeyourBusiness

Area/Prerequisite

GoalsandAreasofApplication

DataandInfrastructure

IntegrationintoExistingProcessesandSystems

InvolveandTrainEmployees

MonitoringandOptimization

LegalandEthicalCompliance

Partnerships&PilotProjects

PlanforScalabilityandFurtherDevelopment

Measure

AnalyzeneedsanddevelopanAIstrategy

Ensuredataqualityandbuildscalableinfrastructure

SeamlesslyintegrateAIAgentsintosystemsandutilizeflexibleAPIsConducttrainingsessionsandfosteracceptance

Implemen