{"id":32852,"date":"2026-07-26T08:00:00","date_gmt":"2026-07-26T06:00:00","guid":{"rendered":"https:\/\/pegamento.nl\/niet-gecategoriseerd\/how-can-you-ensure-that-your-ai-chatbot-complies-with-the-reporting-requirement-under-the-ai-act\/"},"modified":"2026-07-26T10:01:26","modified_gmt":"2026-07-26T08:01:26","slug":"how-can-you-ensure-that-your-ai-chatbot-complies-with-the-reporting-requirement-under-the-ai-act","status":"publish","type":"post","link":"https:\/\/pegamento.nl\/en\/contact-center\/how-can-you-ensure-that-your-ai-chatbot-complies-with-the-reporting-requirement-under-the-ai-act\/","title":{"rendered":"How can you ensure that your AI chatbot complies with the reporting requirement under the AI Act?"},"content":{"rendered":"<p>To comply with the reporting requirements of the AI Act, you must determine which risk category your <a href=\"https:\/\/pegamento.nl\/en\/ai-powered-intelligence\/\">AI chatbot<\/a> falls into and then comply with the corresponding transparency, registration, and documentation requirements. For most customer service chatbots, at a minimum, the less stringent transparency requirements for low-risk AI apply, while chatbots used in high-risk contexts\u2014such as lending or essential services\u2014must meet stricter requirements. In this article, we answer the most frequently asked questions about AI Act compliance for chatbots, so you know exactly where you stand.  <\/p>\n<h2>Which AI chatbots are subject to the reporting requirement under the AI Act?<\/h2>\n<p>Not every AI chatbot is automatically subject to the same reporting requirements. The AI Act takes a risk-based approach, whereby the context of use determines which obligations apply. Chatbots used for customer service, providing information, or handling simple transactions generally fall under the <strong>low-risk<\/strong> category. Chatbots that support decisions regarding access to essential services may fall under <strong>the high-risk category<\/strong>.   <\/p>\n<p>Specifically, the transparency requirements for AI chatbots apply in any case when:<\/p>\n<ul>\n<li>The chatbot communicates with people without them realizing they&#8217;re talking to an AI system<\/li>\n<li>The chatbot generates deepfake content or synthetic text<\/li>\n<li>The chatbot is used for profiling individuals (this is always high-risk)<\/li>\n<li>The chatbot assists with decisions regarding credit, insurance, emergency calls, or other essential services<\/li>\n<\/ul>\n<p>Chatbots used exclusively for internal, non-critical processes that do not interact with end users outside the organization are, in most cases, exempt from the strict reporting requirement, but must still comply with the basic AI literacy requirements that have been in effect since February 2, 2025.<\/p>\n<h2>What exactly does the reporting requirement under the AI Act entail?<\/h2>\n<p>The reporting requirement under the AI Act is not a single obligation, but rather a set of transparency, registration, and notification obligations that depend on the system\u2019s risk category. For low-risk AI chatbots, this means, at a minimum, that users must be clearly informed that they are communicating with an AI system. For high-risk systems, the obligations go considerably further.  <\/p>\n<p>The following applies to a <strong>low-risk AI chatbot<\/strong>:<\/p>\n<ul>\n<li>Proactively notifying users that they are interacting with an AI system<\/li>\n<li>Transparency regarding the system&#8217;s capabilities and limitations<\/li>\n<\/ul>\n<p>The following additional requirements apply to a <strong>high-risk AI chatbot<\/strong>:<\/p>\n<ul>\n<li>Registration in the EU database for high-risk AI systems<\/li>\n<li>Comprehensive technical documentation and conformity assessment<\/li>\n<li>Establishing and maintaining a risk management system<\/li>\n<li>Ensuring Human Oversight in the System<\/li>\n<li>Activity Logging for Traceability<\/li>\n<\/ul>\n<p>Most of the requirements for high-risk Annex III systems will take effect on <strong>August 2, 2026<\/strong>. That may seem far off, but the preparation time is considerable, especially if you still need to complete documentation and technical adjustments. <\/p>\n<h2>How do you determine whether your chatbot is classified as high-risk?<\/h2>\n<p>An AI chatbot is classified as high-risk if it falls under one of the eight domains listed in Annex III of the AI Act, or if it constitutes a safety component of a product that is already covered by existing European harmonization legislation. The most relevant domains for chatbots in customer service are <strong>access to essential services<\/strong>, <strong>employment, and human resources management<\/strong>. <\/p>\n<h3>When does a customer service chatbot fall under Annex III?<\/h3>\n<p>A chatbot falls under the high-risk category of Annex III when it plays a role in decisions regarding creditworthiness, life and health insurance, emergency calls, or other essential services. If your chatbot helps customers apply for services that involve approval or denial, a thorough assessment is necessary. <\/p>\n<h3>When is a chatbot not considered high-risk?<\/h3>\n<p>An Annex III system may fall outside the high-risk category if it performs only a narrow procedural or preparatory task and does not pose a significant risk to fundamental rights. However, the provider must document this with supporting evidence. Please note: Chatbots that profile natural persons are <em>always<\/em> high-risk, without exception.  <\/p>\n<h2>What are the technical and organizational requirements for a compliant AI chatbot?<\/h2>\n<p>A compliant AI chatbot requires both technical measures and organizational processes. The technical requirements focus on traceability, reliability, and transparency, while the organizational requirements ensure human oversight, documentation, and continuous monitoring. Together, they form the foundation of AI Act compliance.  <\/p>\n<p>From <strong>a technical standpoint<\/strong>, you need to ensure the following:<\/p>\n<ul>\n<li>Automatic logging of interactions for traceability and audits<\/li>\n<li>Mechanisms for human oversight and the ability to interrupt or correct the system<\/li>\n<li>Robustness and cybersecurity to prevent tampering or misuse<\/li>\n<li>Accuracy and reliability of the information provided<\/li>\n<\/ul>\n<p>From <strong>an organizational standpoint<\/strong>, the following steps are essential:<\/p>\n<ul>\n<li>Preparing technical documentation on the system, its operation, and its limitations<\/li>\n<li>Implementing a risk management system that remains active throughout the entire lifecycle<\/li>\n<li>Training Employees in AI Literacy (Mandatory as of February 2, 2025)<\/li>\n<li>Appointing a person responsible for AI compliance within the organization<\/li>\n<li>Establishing Procedures for Reporting Serious Incidents<\/li>\n<\/ul>\n<p>For organizations that use GPAI models (large language models) as the basis for their chatbot, the provider of the underlying model is required to provide documentation and information about the model\u2019s capabilities and limitations. As the deployer, you are responsible for using that model appropriately within your context. <\/p>\n<h2>What are the consequences of failing to comply with the AI Act&#8217;s reporting requirement?<\/h2>\n<p>The consequences of non-compliance with the AI Act are significant. The penalty structure has three tiers and has been in effect since August 2, 2025. The amount of the penalty depends on the nature of the violation and the size of the organization.  <\/p>\n<ul>\n<li><strong>Violations of prohibited practices (Article 5):<\/strong> up to 35 million euros or 7% of global annual revenue, whichever is higher<\/li>\n<li><strong>Non-compliance with other obligations:<\/strong> up to 15 million euros or 3% of global annual revenue<\/li>\n<li><strong>Inaccurate or misleading information provided to authorities:<\/strong> up to 7.5 million euros or 1% of annual revenue<\/li>\n<\/ul>\n<p>For small and medium-sized enterprises, the lower of the percentage or the fixed amount applies in each case, which offers some protection. Nevertheless, the damage to reputation and the loss of customer trust resulting from a public enforcement proceeding are often more severe than the financial fine itself. In January 2026, Finland became the first EU member state to officially grant enforcement powers to its national authority, a sign that enforcement is becoming increasingly concrete.  <\/p>\n<h2>How can you prepare your organization for AI Act compliance, step by step?<\/h2>\n<p>The most effective way to prepare your AI chatbot for compliance with the AI Act is through a structured approach that begins with an assessment and ends with ongoing monitoring. Don\u2019t wait until the deadlines are approaching, because the documentation and technical adjustments take more time than most organizations expect. <\/p>\n<ol>\n<li><strong>Take inventory of all AI applications:<\/strong> Identify which chatbots and other AI systems you use, who the provider is, and what their intended purpose is.<\/li>\n<li><strong>Classify the risk level:<\/strong> For each system, assess whether it falls under minimal risk, limited risk, or high risk based on the context of use and the Annex III domains.<\/li>\n<li><strong>Prepare documentation:<\/strong> Provide technical documentation for each system, including its operation, training data, limitations, and risk analysis.<\/li>\n<li><strong>Implement transparency measures:<\/strong> Ensure that users always know they are interacting with an AI system.<\/li>\n<li><strong>Train your employees:<\/strong> AI literacy is a must. Make sure everyone who works with AI systems understands what they do and what the risks are. <\/li>\n<li><strong>Establish human oversight:<\/strong> Define who is responsible for monitoring and correcting AI behavior.<\/li>\n<li><strong>Monitor Continuously:<\/strong> Compliance is not a one-time exercise. Establish processes for ongoing evaluation and update documentation as changes occur. <\/li>\n<\/ol>\n<p>In addition, for high-risk systems, registration in the EU database and a formal conformity assessment are required before the system is put into service. Be sure to plan for this well in advance of the August 2, 2026, deadline. <\/p>\n<h2>How Pegamento Helps Ensure AI Act Compliance for Your Chatbot<\/h2>\n<p>If you want to deploy your <a href=\"https:\/\/pegamento.nl\/en\/agentic-ai-for-customer-service\/\">AI chatbot for customer service<\/a> without the risks of non-compliance, Pegamento offers concrete support. We combine in-depth knowledge of AI regulations with practical implementation experience, ensuring that you\u2019re not only technically compliant but also deliver real value to your customers. <\/p>\n<p>What we do for you:<\/p>\n<ul>\n<li><strong>Risk Analysis and Classification:<\/strong> Together, we\u2019ll assess which risk category your chatbot falls into and what obligations result from that.<\/li>\n<li><strong>Technical Implementation:<\/strong> We provide logging, human oversight, and transparency mechanisms that comply with the requirements of the AI Act.<\/li>\n<li><strong>Documentation and Governance:<\/strong> We assist with preparing the required technical documentation and setting up a risk management system.<\/li>\n<li><strong>Customized solutions using standard building blocks:<\/strong> No costly custom work, but a smart combination of proven modules that can be deployed quickly and are fully tailored to your situation.<\/li>\n<li><strong>Everything under one roof:<\/strong> From development and implementation to management and compliance monitoring\u2014a single point of contact for the complete package.<\/li>\n<\/ul>\n<p>Our chatbot solutions are built on Agentic AI: an evolution from task-oriented bots to self-thinking assistants that not only follow instructions but also take the initiative and act independently within the parameters you set. This makes them both powerful and responsible to use. Pegamento is certified to ISO 27001 (information security), ISO 9001, and ISO 26000, which means that compliance and corporate social responsibility are deeply embedded in our approach. Want to know how to make your AI chatbot compliant? <a href=\"https:\/\/pegamento.nl\/en\/contact-2\/\">Get in touch<\/a>, and we\u2019d be happy to help you figure it out.   <\/p>\n<div class=\"wp-block-seoaic-faq-block\">\n    <h2 class=\"seoaic-faq-section-title\">Frequently Asked Questions<\/h2>\n            <div class=\"seoaic-faq-item\">\n            <h3 class=\"seoaic-question\">\n                Geldt de AI Act ook als ik een chatbot van een externe leverancier gebruik, zoals een SaaS-oplossing?            <\/h3>\n            <p class=\"seoaic-answer\">\n                Ja, ook als deployer \u2014 de partij die een AI-systeem van een externe aanbieder inzet \u2014 heb je eigen verplichtingen onder de AI Act. Je bent verantwoordelijk voor de juiste toepassing van het systeem binnen jouw context, het informeren van gebruikers en het borgen van menselijk toezicht. Controleer dus altijd of jouw leverancier de vereiste technische documentatie en informatie over capaciteiten en beperkingen beschikbaar stelt, want zonder die informatie kun jij jouw eigen compliance-verplichtingen niet nakomen.            <\/p>\n        <\/div>\n                <div class=\"seoaic-faq-item\">\n            <h3 class=\"seoaic-question\">\n                Wat is het verschil tussen de aanbieder en de deployer van een AI-chatbot onder de AI Act?            <\/h3>\n            <p class=\"seoaic-answer\">\n                De aanbieder is de partij die het AI-systeem ontwikkelt of op de markt brengt, terwijl de deployer de partij is die het systeem in een specifieke context inzet voor eindgebruikers. In de praktijk ben je als organisatie vaak deployer wanneer je een bestaand taalmodel of chatbotplatform gebruikt voor jouw klantenservice. Beide partijen hebben eigen verplichtingen: de aanbieder draagt zorg voor technische documentatie en conformiteit van het systeem zelf, de deployer is verantwoordelijk voor de juiste en transparante inzet ervan.            <\/p>\n        <\/div>\n                <div class=\"seoaic-faq-item\">\n            <h3 class=\"seoaic-question\">\n                Hoe moet de verplichte melding aan gebruikers er concreet uitzien?            <\/h3>\n            <p class=\"seoaic-answer\">\n                De AI Act vereist een actieve, duidelijke kennisgeving \u2014 het volstaat niet om dit te verbergen in kleine lettertjes of algemene voorwaarden. In de praktijk betekent dit een zichtbare melding aan het begin van het gesprek, zoals &#8216;U chat met een AI-assistent&#8217; of een duidelijk herkenbaar chatbot-icoon gecombineerd met een tekstuele toelichting. De melding moet begrijpelijk zijn voor de gemiddelde gebruiker en mag geen twijfel laten bestaan over het feit dat er geen mens aan de andere kant zit.            <\/p>\n        <\/div>\n                <div class=\"seoaic-faq-item\">\n            <h3 class=\"seoaic-question\">\n                Mijn chatbot is nog in ontwikkeling. Wanneer moet ik beginnen met de AI Act-compliance voorbereidingen?            <\/h3>\n            <p class=\"seoaic-answer\">\n                Direct \u2014 en het liefst v\u00f3\u00f3r de livegang van het systeem. De AI Act hanteert het principe van &#8216;compliance by design&#8217;, wat betekent dat vereisten zoals logging, menselijk toezicht en transparantiemechanismen al tijdens de ontwikkelfase ingebouwd moeten worden. Achteraf aanpassingen doorvoeren aan een al draaiend systeem is aanzienlijk duurder en tijdrovender. Voor hoog-risico systemen geldt bovendien dat de conformiteitsbeoordeling en EU-registratie v\u00f3\u00f3r ingebruikname afgerond moeten zijn.            <\/p>\n        <\/div>\n                <div class=\"seoaic-faq-item\">\n            <h3 class=\"seoaic-question\">\n                Wat wordt er precies bedoeld met &#039;AI-geletterdheid&#039; als verplichting voor medewerkers?            <\/h3>\n            <p class=\"seoaic-answer\">\n                Onder de AI Act (van kracht sinds 2 februari 2025) zijn organisaties verplicht om medewerkers die met AI-systemen werken een passend niveau van AI-geletterdheid bij te brengen. Dit houdt in dat zij begrijpen hoe het AI-systeem werkt, wat de beperkingen zijn, welke risico&#8217;s er bestaan en hoe zij moeten ingrijpen wanneer het systeem onjuist of ongewenst gedrag vertoont. De vereiste diepgang verschilt per rol: een klantenservicemedewerker die chatbotgesprekken monitort heeft andere trainingsbehoeften dan een IT-beheerder die het systeem onderhoudt.            <\/p>\n        <\/div>\n                <div class=\"seoaic-faq-item\">\n            <h3 class=\"seoaic-question\">\n                Kan een chatbot die nu als beperkt risico wordt geclassificeerd later alsnog hoog-risico worden?            <\/h3>\n            <p class=\"seoaic-answer\">\n                Ja, dat is zeker mogelijk. Als de gebruikscontext van jouw chatbot verandert \u2014 bijvoorbeeld doordat je hem gaat inzetten voor kredietaanvragen, verzekeringsgesprekken of andere essenti\u00eble diensten \u2014 kan de risicocategorie wijzigen. Ook wijzigingen in het onderliggende AI-model of uitbreiding van functionaliteiten kunnen de classificatie be\u00efnvloeden. Het is daarom belangrijk om risicobeoordelingen niet eenmalig uit te voeren, maar als onderdeel van een doorlopend compliance-proces te herhalen bij elke significante wijziging.            <\/p>\n        <\/div>\n                <div class=\"seoaic-faq-item\">\n            <h3 class=\"seoaic-question\">\n                Welke documentatie moet ik minimaal bijhouden voor een beperkt-risico chatbot?            <\/h3>\n            <p class=\"seoaic-answer\">\n                Voor een beperkt-risico chatbot is de documentatieplicht lichter dan voor hoog-risico systemen, maar volledig vrijgesteld ben je niet. Zorg minimaal voor een beschrijving van het systeem en het beoogde doel, een overzicht van de transparantiemaatregelen die je hebt getroffen, bewijs van de uitgevoerde risicoklassificatie en een registratie van de AI-geletterdheidstraining voor medewerkers. Deze documentatie dient als onderbouwing van jouw classificatiekeuze en kan bij een eventuele controle door de nationale toezichthouder worden opgevraagd.            <\/p>\n        <\/div>\n        <\/div>\n","protected":false},"excerpt":{"rendered":"<p>AI Act Reporting Requirements for Chatbots: Find out what obligations apply and how to stay compliant.<\/p>\n","protected":false},"author":2,"featured_media":32853,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[500],"tags":[],"class_list":["post-32852","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-contact-center"],"_links":{"self":[{"href":"https:\/\/pegamento.nl\/en\/wp-json\/wp\/v2\/posts\/32852","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pegamento.nl\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pegamento.nl\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pegamento.nl\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/pegamento.nl\/en\/wp-json\/wp\/v2\/comments?post=32852"}],"version-history":[{"count":2,"href":"https:\/\/pegamento.nl\/en\/wp-json\/wp\/v2\/posts\/32852\/revisions"}],"predecessor-version":[{"id":32855,"href":"https:\/\/pegamento.nl\/en\/wp-json\/wp\/v2\/posts\/32852\/revisions\/32855"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pegamento.nl\/en\/wp-json\/wp\/v2\/media\/32853"}],"wp:attachment":[{"href":"https:\/\/pegamento.nl\/en\/wp-json\/wp\/v2\/media?parent=32852"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pegamento.nl\/en\/wp-json\/wp\/v2\/categories?post=32852"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pegamento.nl\/en\/wp-json\/wp\/v2\/tags?post=32852"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}