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We gebruiken AI in zoekmachines, aanbevelingsalgoritmes, taalmodellen en chatbots – vaak zonder erbij stil te staan. Maar de manier waarop we met AI omgaan, verandert snel. Steeds vaker hebben we het niet meer over AI als een slimme \u003Ci>tool\u003C\u002Fi>, maar als een actieve \u003Ci>partner\u003C\u002Fi>. Welkom in het tijdperk van \u003Cstrong>agentic AI\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp>In deze blog leggen we uit wat agentic AI precies is, wat het onderscheidt van traditionele AI en waarom deze technologie zo’n grote impact zal hebben op hoe we werken, creëren en beslissen.\u003C\u002Fp>","light",{"__typename":680,"typeHandle":681,"uid":687,"title":688,"richText":689,"backgroundColor":685},"1bcf56d7-d712-49ae-9b49-8f1610b04e2a","De verschuiving: van reactieve AI naar zelfstandige agents","\u003Cp>De meeste AI-systemen die we vandaag kennen zijn \u003Cstrong>reactief\u003C\u002Fstrong>. Jij stelt een vraag, het systeem geeft een antwoord. Of je voert data in en het algoritme voorspelt een uitkomst. Denk aan ChatGPT, Netflix-aanbevelingen of spamfilters: nuttig, maar altijd afhankelijk van menselijke input en sturing.\u003C\u002Fp>\u003Cp>\u003Cstrong>Agentic AI\u003C\u002Fstrong> gaat een stap verder. Deze systemen werken als \u003Cstrong>autonome ‘agents’\u003C\u002Fstrong>: digitale entiteiten die een opdracht krijgen, zelf plannen hoe ze die uitvoeren en vervolgens zelfstandig acties ondernemen. Ze zijn niet langer alleen reactief, maar \u003Cstrong>doelgericht, zelfstandig en adaptief\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp>Een agentic AI hoeft dus niet telkens aangestuurd te worden. Je geeft het een doel en het bedenkt zelf de beste weg ernaartoe – inclusief het verzamelen van informatie, het nemen van beslissingen en het bijsturen waar nodig.\u003C\u002Fp>\u003Cp>\u003Cstrong>Belangrijk om te weten:\u003C\u002Fstrong> in de praktijk bouwen we bijna altijd een \u003Cstrong>“human in the loop”\u003C\u002Fstrong> in. Een agent werkt dus zelden volledig autonoom. Je kunt wel stap voor stap \u003Cstrong>meer vrijheid\u003C\u002Fstrong> geven naarmate het systeem vertrouwen opbouwt en betere resultaten levert.\u003C\u002Fp>",{"__typename":680,"typeHandle":681,"uid":691,"title":692,"richText":693,"backgroundColor":685},"2e60f010-acf7-4859-bd4f-3bf088afaca7","Wat maakt een AI ‘agentic’?","\u003Cp>Om als \u003Ci>agent\u003C\u002Fi> te functioneren, moet een AI over een aantal specifieke eigenschappen beschikken:\u003C\u002Fp>\u003Ch3>1. Doelgerichtheid\u003C\u002Fh3>\u003Cp>Een agentic AI werkt naar een \u003Cstrong>einddoel\u003C\u002Fstrong> toe. Het krijgt niet alleen een taak (bv. “genereer een tekst”), maar een opdracht met een bredere ambitie (bv. “ontwikkel een contentstrategie voor doelgroep X”).\u003C\u002Fp>\u003Ch3>2. Redeneervermogen en planning\u003C\u002Fh3>\u003Cp>Het systeem kan complexe problemen analyseren, taken opdelen in stappen, prioriteiten stellen en een aanpak uitstippelen.\u003C\u002Fp>\u003Ch3>3. Autonomie binnen kaders\u003C\u002Fh3>\u003Cp>Agentic AI werkt \u003Cstrong>zelfstandig\u003C\u002Fstrong>. Het neemt beslissingen zonder voortdurend input te vragen, maar doet dat binnen vooraf gedefinieerde grenzen (bijvoorbeeld zakelijke richtlijnen, ethische principes of technische beperkingen).\u003C\u002Fp>\u003Ch3>4. Langetermijngeheugen en contextbewustzijn\u003C\u002Fh3>\u003Cp>Waar veel klassieke AI beperkt is tot één sessie, kan een agentic AI informatie vasthouden over langere tijd en context gebruiken om zijn gedrag aan te passen.\u003C\u002Fp>\u003Ch3>5. Aanpasbaarheid en zelfcorrectie\u003C\u002Fh3>\u003Cp>De AI leert uit feedback of veranderende omstandigheden en kan zichzelf verbeteren terwijl het bezig is.\u003C\u002Fp>",{"__typename":680,"typeHandle":681,"uid":695,"title":696,"richText":697,"backgroundColor":685},"d78c244a-5cae-4f9a-a605-bb8d677065a7","Een concreet voorbeeld: van prompt naar projectleider","\u003Cp>Stel dat je een AI vraagt om te helpen bij een productlancering. Een traditioneel AI-systeem helpt je door een aantal slogans te bedenken of een e-mailtekst te genereren. Maar een agentic AI gaat veel verder.\u003C\u002Fp>\u003Cp>Geef het de opdracht “Zorg voor een succesvolle lancering van product X naar een jong publiek” en het systeem zal:\u003C\u002Fp>\u003Cul>\u003Cli>Zelf bepalen welke kanalen geschikt zijn (TikTok, Instagram, e-mail, influencers...),\u003C\u002Fli>\u003Cli>Een plan uitwerken met deadlines en deliverables,\u003C\u002Fli>\u003Cli>De juiste content genereren en verdelen over kanalen,\u003C\u002Fli>\u003Cli>Resultaten analyseren en waar nodig bijsturen,\u003C\u002Fli>\u003Cli>En jou op de hoogte houden via samenvattingen en rapportages.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>\u003Cstrong>Voorwaarde voor succes\u003C\u002Fstrong>: dit werkt alleen als de agent \u003Cstrong>voldoende context\u003C\u002Fstrong> heeft over het \u003Cstrong>bedrijf\u003C\u002Fstrong>, de \u003Cstrong>doelgroep\u003C\u002Fstrong>, de \u003Cstrong>kanalen\u003C\u002Fstrong> en \u003Cstrong>eerdere campagnes\u003C\u002Fstrong>. Bovendien bouw je \u003Cstrong>controlepunten\u003C\u002Fstrong> in: bijvoorbeeld \u003Cstrong>menselijke goedkeuring\u003C\u002Fstrong> voor live‑zetting, budgetcaps en \u003Cstrong>logging\u003C\u002Fstrong> voor audit & compliance.\u003C\u002Fp>\u003Cp>Het resultaat is een digitale projectleider of growth marketeer die initiatief neemt, maar \u003Cstrong>nooit op eigen houtje buiten de afgesproken kaders\u003C\u002Fstrong> handelt.\u003C\u002Fp>",{"__typename":680,"typeHandle":681,"uid":699,"title":700,"richText":701,"backgroundColor":685},"9393b073-967a-4f1f-963d-25d8904e2f03","Wat betekent dit voor organisaties?","\u003Cp>De opkomst van agentic AI heeft grote implicaties voor bedrijven, overheden en organisaties. Door AI-systemen zelfstandig te laten plannen en uitvoeren, kunnen we:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Efficiënter werken\u003C\u002Fstrong>, doordat repetitieve en complexe processen geautomatiseerd worden;\u003C\u002Fli>\u003Cli>\u003Cstrong>Sneller innoveren\u003C\u002Fstrong>, doordat AI continu alternatieven test en verbetert;\u003C\u002Fli>\u003Cli>\u003Cstrong>Betere beslissingen nemen\u003C\u002Fstrong>, dankzij continue analyse van context, data en feedback;\u003C\u002Fli>\u003Cli>\u003Cstrong>Mensen meer ruimte geven\u003C\u002Fstrong> om zich te richten op creativiteit, empathie en strategie.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Maar met die kracht komt ook verantwoordelijkheid. Want als AI-systemen zelfstandig mogen handelen, moeten we duidelijke grenzen stellen. Hoe zorgen we dat ze binnen de ethische en wettelijke kaders blijven? Hoe behouden we controle zonder innovatie te belemmeren?\u003C\u002Fp>",{"__typename":703,"typeHandle":704,"uid":705,"richText":706,"buttonGroup":707,"contentWidth":715},"genericContentBlock_Entry","genericContentBlock","f45107a8-148b-40c1-a213-74bdb1460d12","\u003Ch2>Agentic AI is de volgende stap\u003C\u002Fh2>\u003Cp>Agentic AI luidt een \u003Cstrong>nieuwe fase\u003C\u002Fstrong> in van wat AI voor ons kan betekenen. Het zijn geen passieve assistenten meer, maar actieve digitale collega’s die kunnen meedenken, meebouwen en mee-evolueren – \u003Cstrong>mits ze gevoed worden met de juiste context\u003C\u002Fstrong> en \u003Cstrong>opereren binnen duidelijke kaders\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp>In deze blogreeks nemen we je stap voor stap mee door de verschillende soorten AI – van generatieve AI tot agentic AI. Elk type heeft zijn rol, zijn mogelijkheden en zijn grenzen. Samen vormen ze de bouwstenen van de toekomst van werk, innovatie en technologie.\u003C\u002Fp>\u003Cp>Benieuwd hoe deze technologie in de praktijk ingezet wordt? Of hoe jouw organisatie kan experimenteren met agentic AI? Volg onze reeks – of neem contact met ons op voor een verkennend gesprek.\u003C\u002Fp>",[708],{"__typename":581,"id":709,"uid":710,"uri":13,"language":9,"settings":711},"6649","f535f55d-2557-464d-b26a-04707b4d3fbc",{"__typename":555,"variant":712,"size":557,"linkTo":713,"scrollTargetUid":13,"iconifyIcon":13},"filled",{"__typename":44,"id":13,"title":13,"url":559,"target":13,"label":714,"defaultLabel":561},"Neem contact op","fullWidth",[717],{"__typename":718,"typeHandle":719,"uid":720,"title":721,"linkTo":722,"items":724},"relatedInsightsBlock_Entry","relatedInsightsBlock","a002a429-267e-453a-b9f4-5d994220758c","Gerelateerde insights",{"__typename":44,"id":13,"title":13,"url":546,"target":13,"label":723,"defaultLabel":547},"Bekijk alle inzichten",[725,744,759],{"__typename":644,"id":726,"title":727,"uri":728,"postDate":729,"categories":730,"image":737},"2384","AI-gedreven oplossingen voor efficiëntie en innovatie in de voedingsindustrie","inzichten\u002Fai-in-de-voedingsindustrie","2026-03-25T13:43:00+01:00",[731,732,734],{"__typename":668,"id":669,"title":182,"description":13},{"__typename":668,"id":733,"title":407,"description":13},"2382",{"__typename":668,"id":735,"title":736,"description":13},"5138","Innovation",[738],{"__typename":12,"alt":13,"url":739,"rawUrl":740,"mimeType":574,"focalPoint":741,"height":742,"width":743},"https:\u002F\u002Fcdn.craft.cloud\u002F5fa59528-9049-4864-a4f2-a0667591b3bd\u002Fassets\u002Fimg\u002FHealthy-Unhealthy-Food.jpg?fit=cover&format=webp&s=2bMPSPaS4F9YEUTziRMmv9RxB2waRWLj4GybVeHqH6A","https:\u002F\u002Fcdn.craft.cloud\u002F5fa59528-9049-4864-a4f2-a0667591b3bd\u002Fassets\u002Fimg\u002FHealthy-Unhealthy-Food.jpg",[18,18],1709,2560,{"__typename":644,"id":745,"title":746,"uri":747,"postDate":748,"categories":749,"image":753},"2417","De rol van een PIM specialist","inzichten\u002Fde-rol-van-een-pim-specialist","2023-12-14T10:04:39+01:00",[731,750],{"__typename":668,"id":751,"title":752,"description":13},"2450","Technology & Platforms",[754],{"__typename":12,"alt":13,"url":755,"rawUrl":756,"mimeType":574,"focalPoint":757,"height":758,"width":743},"https:\u002F\u002Fcdn.craft.cloud\u002F5fa59528-9049-4864-a4f2-a0667591b3bd\u002Fassets\u002Fimg\u002FAndrea-Piacquadio-Photo.jpg?fit=cover&format=webp&s=7Jp8hksS5o0fn1JyuwuMynol0_NVk6FR8_ELk5rrrTw","https:\u002F\u002Fcdn.craft.cloud\u002F5fa59528-9049-4864-a4f2-a0667591b3bd\u002Fassets\u002Fimg\u002FAndrea-Piacquadio-Photo.jpg",[18,18],1707,{"__typename":644,"id":760,"title":761,"uri":762,"postDate":763,"categories":764,"image":765},"2434","Waarom goede projectdocumentatie geen bijzaak is","inzichten\u002Fwaarom-goede-projectdocumentatie-geen-bijzaak-is","2023-09-01T14:37:58+02:00",[731,750],[766],{"__typename":12,"alt":13,"url":767,"rawUrl":768,"mimeType":574,"focalPoint":769,"height":770,"width":743},"https:\u002F\u002Fcdn.craft.cloud\u002F5fa59528-9049-4864-a4f2-a0667591b3bd\u002Fassets\u002Fimg\u002FStartup-Meeting-Business-People-Jan-31-2023.jpg?fit=cover&format=webp&s=u6f8VJTbXsA7V-0IaqC9YGfBGsaJFKbik77bWwjhk-Q","https:\u002F\u002Fcdn.craft.cloud\u002F5fa59528-9049-4864-a4f2-a0667591b3bd\u002Fassets\u002Fimg\u002FStartup-Meeting-Business-People-Jan-31-2023.jpg",[18,18],1708,{"__typename":772,"html":773},"postContent_CkeditorField","\u003Cdiv class=\"elementor-section\">\u003Cdiv class=\"elementor-column\" data-column-size=\"100\">\u003Cp> \u003C\u002Fp>\n\u003Ch2>De opkomst van AI-systemen die zelf nadenken, plannen en handelen\u003C\u002Fh2>\n\u003Cp>Artificiële intelligentie is al jarenlang in opmars. We gebruiken AI in zoekmachines, aanbevelingsalgoritmes, taalmodellen en chatbots – vaak zonder erbij stil te staan. Maar de manier waarop we met AI omgaan, verandert snel. Steeds vaker hebben we het niet meer over AI als een slimme \u003Cem>tool\u003C\u002Fem>, maar als een actieve \u003Cem>partner\u003C\u002Fem>. Welkom in het tijdperk van \u003Cstrong>agentic AI\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>In deze blog leggen we uit wat agentic AI precies is, wat het onderscheidt van traditionele AI en waarom deze technologie zo’n grote impact zal hebben op hoe we werken, creëren en beslissen.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch2>De verschuiving: van reactieve AI naar zelfstandige agents\u003C\u002Fh2>\n\u003Cp>De meeste AI-systemen die we vandaag kennen zijn \u003Cstrong>reactief\u003C\u002Fstrong>. Jij stelt een vraag, het systeem geeft een antwoord. Of je voert data in en het algoritme voorspelt een uitkomst. Denk aan ChatGPT, Netflix-aanbevelingen of spamfilters: nuttig, maar altijd afhankelijk van menselijke input en sturing.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>\u003Cstrong>Agentic AI\u003C\u002Fstrong> gaat een stap verder. Deze systemen werken als \u003Cstrong>autonome ‘agents’\u003C\u002Fstrong>: digitale entiteiten die een opdracht krijgen, zelf plannen hoe ze die uitvoeren en vervolgens zelfstandig acties ondernemen. Ze zijn niet langer alleen reactief, maar \u003Cstrong>doelgericht, zelfstandig en adaptief\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Een agentic AI hoeft dus niet telkens aangestuurd te worden. Je geeft het een doel en het bedenkt zelf de beste weg ernaartoe – inclusief het verzamelen van informatie, het nemen van beslissingen en het bijsturen waar nodig.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>\u003Cstrong>Belangrijk om te weten:\u003C\u002Fstrong> in de praktijk bouwen we bijna altijd een \u003Cstrong>“human in the loop”\u003C\u002Fstrong> in. Een agent werkt dus zelden volledig autonoom. Je kunt wel stap voor stap \u003Cstrong>meer vrijheid\u003C\u002Fstrong> geven naarmate het systeem vertrouwen opbouwt en betere resultaten levert.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch2>Wat maakt een AI ‘agentic’?\u003C\u002Fh2>\n\u003Cp>Om als \u003Cem>agent\u003C\u002Fem> te functioneren, moet een AI over een aantal specifieke eigenschappen beschikken:\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch3>1. Doelgerichtheid\u003C\u002Fh3>\n\u003Cp>Een agentic AI werkt naar een \u003Cstrong>einddoel\u003C\u002Fstrong> toe. Het krijgt niet alleen een taak (bv. “genereer een tekst”), maar een opdracht met een bredere ambitie (bv. “ontwikkel een contentstrategie voor doelgroep X”).\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch3>2. Redeneervermogen en planning\u003C\u002Fh3>\n\u003Cp>Het systeem kan complexe problemen analyseren, taken opdelen in stappen, prioriteiten stellen en een aanpak uitstippelen.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch3>3. Autonomie binnen kaders\u003C\u002Fh3>\n\u003Cp>Agentic AI werkt \u003Cstrong>zelfstandig\u003C\u002Fstrong>. Het neemt beslissingen zonder voortdurend input te vragen, maar doet dat binnen vooraf gedefinieerde grenzen (bijvoorbeeld zakelijke richtlijnen, ethische principes of technische beperkingen).\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch3>4. Langetermijngeheugen en contextbewustzijn\u003C\u002Fh3>\n\u003Cp>Waar veel klassieke AI beperkt is tot één sessie, kan een agentic AI informatie vasthouden over langere tijd en context gebruiken om zijn gedrag aan te passen.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch3>5. Aanpasbaarheid en zelfcorrectie\u003C\u002Fh3>\n\u003Cp>De AI leert uit feedback of veranderende omstandigheden en kan zichzelf verbeteren terwijl het bezig is.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch2>Een concreet voorbeeld: van prompt naar projectleider\u003C\u002Fh2>\n\u003Cp>Stel dat je een AI vraagt om te helpen bij een productlancering. Een traditioneel AI-systeem helpt je door een aantal slogans te bedenken of een e-mailtekst te genereren. Maar een agentic AI gaat veel verder.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Geef het de opdracht “Zorg voor een succesvolle lancering van product X naar een jong publiek” en het systeem zal:\u003C\u002Fp>\u003Cul>\u003Cli>Zelf bepalen welke kanalen geschikt zijn (TikTok, Instagram, e-mail, influencers...),\u003C\u002Fli>\u003Cli>Een plan uitwerken met deadlines en deliverables,\u003C\u002Fli>\u003Cli>De juiste content genereren en verdelen over kanalen,\u003C\u002Fli>\u003Cli>Resultaten analyseren en waar nodig bijsturen,\u003C\u002Fli>\u003Cli>En jou op de hoogte houden via samenvattingen en rapportages.\u003C\u002Fli>\u003C\u002Ful>\u003Cp> \u003C\u002Fp>\u003Cp>\u003Cstrong>Voorwaarde voor succes\u003C\u002Fstrong>: dit werkt alleen als de agent \u003Cstrong>voldoende context\u003C\u002Fstrong> heeft over het \u003Cstrong>bedrijf\u003C\u002Fstrong>, de \u003Cstrong>doelgroep\u003C\u002Fstrong>, de \u003Cstrong>kanalen\u003C\u002Fstrong> en \u003Cstrong>eerdere campagnes\u003C\u002Fstrong>. Bovendien bouw je \u003Cstrong>controlepunten\u003C\u002Fstrong> in: bijvoorbeeld \u003Cstrong>menselijke goedkeuring\u003C\u002Fstrong> voor live‑zetting, budgetcaps en \u003Cstrong>logging\u003C\u002Fstrong> voor audit & compliance.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Het resultaat is een digitale projectleider of growth marketeer die initiatief neemt, maar \u003Cstrong>nooit op eigen houtje buiten de afgesproken kaders\u003C\u002Fstrong> handelt.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch2>Wat betekent dit voor organisaties?\u003C\u002Fh2>\n\u003Cp>De opkomst van agentic AI heeft grote implicaties voor bedrijven, overheden en organisaties. Door AI-systemen zelfstandig te laten plannen en uitvoeren, kunnen we:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Efficiënter werken\u003C\u002Fstrong>, doordat repetitieve en complexe processen geautomatiseerd worden;\u003C\u002Fli>\u003Cli>\u003Cstrong>Sneller innoveren\u003C\u002Fstrong>, doordat AI continu alternatieven test en verbetert;\u003C\u002Fli>\u003Cli>\u003Cstrong>Betere beslissingen nemen\u003C\u002Fstrong>, dankzij continue analyse van context, data en feedback;\u003C\u002Fli>\u003Cli>\u003Cstrong>Mensen meer ruimte geven\u003C\u002Fstrong> om zich te richten op creativiteit, empathie en strategie.\u003C\u002Fli>\u003C\u002Ful>\u003Cp> \u003C\u002Fp>\u003Cp>Maar met die kracht komt ook verantwoordelijkheid. Want als AI-systemen zelfstandig mogen handelen, moeten we duidelijke grenzen stellen. Hoe zorgen we dat ze binnen de ethische en wettelijke kaders blijven? Hoe behouden we controle zonder innovatie te belemmeren?\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch2>Agentic AI is de volgende stap\u003C\u002Fh2>\n\u003Cp>Agentic AI luidt een \u003Cstrong>nieuwe fase\u003C\u002Fstrong> in van wat AI voor ons kan betekenen. Het zijn geen passieve assistenten meer, maar actieve digitale collega’s die kunnen meedenken, meebouwen en mee-evolueren – \u003Cstrong>mits ze gevoed worden met de juiste context\u003C\u002Fstrong> en \u003Cstrong>opereren binnen duidelijke kaders\u003C\u002Fstrong>.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>In deze blogreeks nemen we je stap voor stap mee door de verschillende soorten AI – van generatieve AI tot agentic AI. Elk type heeft zijn rol, zijn mogelijkheden en zijn grenzen. Samen vormen ze de bouwstenen van de toekomst van werk, innovatie en technologie.\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Benieuwd hoe deze technologie in de praktijk ingezet wordt? Of hoe jouw organisatie kan experimenteren met agentic AI? 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