{"id":80062,"date":"2026-10-27T08:01:34","date_gmt":"2026-10-27T07:01:34","guid":{"rendered":"https:\/\/juvo.be\/?p=80062"},"modified":"2026-10-27T08:15:52","modified_gmt":"2026-10-27T07:15:52","slug":"generative-ai-in-finance","status":"publish","type":"post","link":"https:\/\/juvo.be\/en\/generative-ai-in-finance\/","title":{"rendered":"Generative AI in finance: it reads, reviews and writes, but it does not decide on its own"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.20.4&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;0px||0px||true|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;1_2,1_2&#8243; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; width=&#8221;100%&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Since 1 January 2026, VAT-registered businesses established in Belgium must exchange B2B invoices in a structured format; Peppol, the international e-invoicing network, is the default. Your OCR does what it was built for, <strong>yet after reading, the checking remains<\/strong>: if your team still does the matching and investigating by hand, that is the work that is left. In episode 2 of the JUVO Podcast, Lode talks to Bart Nulens, Head of AI at JUVO, <strong>about what generative AI (GenAI) does in finance today<\/strong>. The episode runs for about eleven minutes and is in Dutch.<\/p>\n<p><strong>This page sets out that conversation<\/strong>: what GenAI reads, where it reviews your work with you, what it writes and where it stops. One nuance up front: generative AI takes over the repetitive work, not the checking. If you want the wider picture first, read <a href=\"https:\/\/juvo.be\/en\/business-process-automation\/\" target=\"_blank\" rel=\"noopener\">how we automate processes<\/a>.<\/p>\n<p>Reading comes first. <strong>What does GenAI do differently<\/strong> when it reads an invoice?<\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_code _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<iframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/aIWC2Bh9qcU?si=8o2cHu34gLrOGuLl\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"\"><\/iframe>[\/et_pb_code][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.20.4&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;RGBA(255,255,255,0)&#8221; custom_padding=&#8221;0px||0px||true|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row make_equal=&#8221;on&#8221; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; width=&#8221;100%&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text admin_label=&#8221;Tekst&#8221; _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#F2F2F2&#8243; min_height=&#8221;100%&#8221; custom_padding=&#8221;25px|25px|25px|25px|true|true&#8221; border_radii=&#8221;on|6px|6px|6px|6px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>GenAI reads: it understands your invoice instead of matching a template<\/h2>\n<p>OCR and capture software does what it was built for: recognising a document from a template or from rules. GenAI starts somewhere else. <strong>In our experience, generative AI understands the context of a document or email and extracts the data more accurately than OCR<\/strong> that works on templates or rules.<\/p>\n<p><strong>You see the difference when a supplier changes its layout.<\/strong> OCR that works on templates or rules then recognises the document less well. Generative AI has much less trouble with that. That is where generative AI for accounting differs at the reading stage: it reads the invoice for its context instead of matching it against a template.<\/p>\n<p>In the episode, Lode puts the question of Peppol to Bart. The Belgian rule behind that question is this: since 1 January 2026, VAT-registered businesses established in Belgium must exchange B2B invoices in a structured format, and <strong>Peppol, the international e-invoicing network, is the default<\/strong>. An invoice that arrives through Peppol delivers its data in structured form. The invoice does not do the matching with the purchase order, or the posting of expense invoices to the right account and cost centre, by itself.<\/p>\n<p>An invoice received via Peppol presents the data in a structured manner. The matching with the purchase order and the posting of cost invoices to the correct account and cost centre is not done by the invoice itself. What this means for you can be read in <a href=\"https:\/\/juvo.be\/en\/e-invoicing-vs-ap-automation\/\" target=\"_blank\" rel=\"noopener\">what Peppol does and does not resolve for your invoice processing<\/a>.<\/p>\n<p>Reading also matters in your own inbox: it is needed for what does not arrive through Peppol, such as emails, attachments and invoices from suppliers that are not established in Belgium and have no fixed establishment there.<\/p>\n<p>For you as CFO, the question is what follows. After reading, the checking remains: if your team still does the matching and investigating by hand, that is the work that is left. What happens after reading, then, when someone has to check the invoice?<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.20.4&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;0px||0px||true|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row admin_label=&#8221;Row&#8221; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; width=&#8221;100%&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>GenAI reviews: checking every line and finding out why it differs<\/h2>\n<p>In our experience, many companies match at header level: they set the total amount against the order number. If that is correct, then the invoice goes through. <strong>Generative AI reads an invoice at line level and identifies quantity and price discrepancies<\/strong>, just as an accountant would. You can read more <a href=\"https:\/\/juvo.be\/en\/line-level-invoice-matching\/\" target=\"_blank\" rel=\"noopener\">about why matching at the total level misses discrepancies<\/a>.<\/p>\n<p>Take an invoice that differs from your purchase order and goes back to purchasing. Someone on your team then has to find out why. This is where an agent comes in. <strong>An agent can look for the possible cause of a difference<\/strong>, for example an early payment discount or a price increase, and propose it. <strong>It does not decide<\/strong>.<\/p>\n<p>Also, for those who handle exceptions, something changes. Those who deal with exceptions assess a proposal instead of seeking where it went wrong themselves. The exception remains with your team. What such an exception demands today is reflected in <a href=\"https:\/\/juvo.be\/en\/invoice-exception-management\/\" target=\"_blank\" rel=\"noopener\">what an exception truly costs you<\/a>.<\/p>\n<p>That is checking invoices. At month-end close, there is work where your team writes the text itself.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.20.4&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;0px||0px||true|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row admin_label=&#8221;Row&#8221; _builder_version=&#8221;4.27.7&#8243; _module_preset=&#8221;default&#8221; width=&#8221;100%&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>GenAI writes: a first draft of your month-end variance commentary<\/h2>\n<p>In the run-up to month-end close, someone on your team starts from an export. They look for the variances against budget and their causes, and then write the budget variance commentary themselves.<\/p>\n<p>That commentary is where GenAI can help. At month-end close, generative AI can give a first draft of the commentary on variances against budget. The validation stays with the right people. For you as CFO, that changes where the work begins. <strong>Your controller starts from a text to review, not from a blank page.<\/strong><\/p>\n<p>If GenAI can draft that text, can you then simply ask AI for your figures?<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.20.4&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;0px||0px||true|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row admin_label=&#8221;Row&#8221; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; width=&#8221;100%&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>What GenAI does not do: decide on its own, present your figures or forecast your cash flow<\/h2>\n<p>Then come the limits you may already expect, starting with deciding. <strong>When something differs, an agent proposes a cause<\/strong> and does not decide. That is the starting position; we come back to how it can change later on this page.<\/p>\n<p>The second limit is presenting your figures. You cannot simply ask AI for your figures. Getting from financial data to a version you can present takes homework first, and <strong>the final check stays with people<\/strong>.<\/p>\n<p>The third limit is your cash flow forecast. <strong>To forecast your cash flow, classical machine learning is better suited than generative AI<\/strong>. That is a different technique from the one this page is about, and we have been working with classical machine learning for years.<\/p>\n<p>The word agent has now come up more than once. What is an agent, exactly?<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.20.4&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;0px||0px||true|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row admin_label=&#8221;Row&#8221; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; width=&#8221;100%&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>What is an AI agent, and how is it different from a chatbot?<\/h2>\n<p><strong>A chatbot answers a question. An agent is given a task or a series of tasks<\/strong>, carries them out on its own within agreed limits and presents the result.<\/p>\n<p>That comparison is what AI agents in finance come down to: not an answer to a question, but a task with limits around it. <strong>An agent takes over the repetitive work<\/strong>, not your whole bookkeeping, and frees up time for the exceptions.<\/p>\n<p><strong>The limits are not a property of the agent<\/strong>. What an agent may handle on its own is set by the limits you agree, not by the technology. Who sets those limits, then, and what data does the agent work on?<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.20.4&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;0px||0px||true|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row admin_label=&#8221;Row&#8221; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; width=&#8221;100%&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>The common thread is not the technology, but who checks and on what data<\/h2>\n<p><strong>We put two conditions first<\/strong>: who checks, and what data the agent works on.<\/p>\n<p>The first condition is who checks. In all our AI solutions, we build in a confidence threshold. At first, the agent only makes proposals and involves the accountant. It is given more autonomy only when the business decides so, up to a threshold the business chooses itself.<\/p>\n<p><strong>The second condition is your data<\/strong>. An agent gets stuck on the same master data problems as a person, such as duplicate customers or duplicate suppliers with different account numbers. <a href=\"https:\/\/juvo.be\/en\/data-ai\/\" target=\"_blank\" rel=\"noopener\">That is why your financial data has to be in order first<\/a>.<\/p>\n<p>With both conditions on the table, the practical question remains: how do you start without a year-long project?<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.20.4&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;RGBA(255,255,255,0)&#8221; custom_padding=&#8221;0px||0px||true|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row make_equal=&#8221;on&#8221; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; width=&#8221;100%&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text admin_label=&#8221;Tekst&#8221; _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#F2F2F2&#8243; min_height=&#8221;100%&#8221; custom_padding=&#8221;25px|25px|25px|25px|true|true&#8221; border_radii=&#8221;on|6px|6px|6px|6px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>How to start: a quick win, not a year-long project<\/h2>\n<p><strong>Generative AI is mature enough to contribute continuously in finance<\/strong>. That is why you start with quick wins, not a big project. A quick win starts with the people who know the work. These are the steps we suggest for AI for finance teams, in this order:<\/p>\n<ol>\n<li><strong>Map out with your finance team lead and your AP staff where the repetitive work sits.<\/strong><\/li>\n<li><strong>Draw up a shortlist of the processes or sub-processes that qualify.<\/strong><\/li>\n<li><strong>Build a business case around them<\/strong>: where does generative AI contribute, and where does it not?<\/li>\n<li><strong>Meanwhile, look at your master data<\/strong>.<\/li>\n<\/ol>\n<p>When we do this with you, <strong>we start with a discovery session<\/strong> with your finance team: where the repetitive work sits, which processes or sub-processes go on a shortlist, and together we build a business case for where generative AI does and does not contribute.<\/p>\n<p>In our estimate, a classic AI project used to take easily a year. <strong>With agentic development, we deliver a working, production-ready prototype in a few weeks<\/strong>.<\/p>\n<p><strong>You can do step 1 and step 4 tomorrow yourself<\/strong>, without us. That leaves the questions you may still have after reading.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.20.4&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;0px||0px||true|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row admin_label=&#8221;Row&#8221; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; width=&#8221;100%&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>Frequently asked questions about generative AI in finance<\/h2>\n<p>These are the four questions left after reading, with the answers we give.<\/p>\n<h3>Will generative AI take jobs in finance?<\/h3>\n<p>Not necessarily. CFOs tell us more and more often that qualified people are hard to find for this work. An agent takes over the repetitive work, not your whole bookkeeping, and frees up time for the exceptions.<\/p>\n<h3>Isn&#8217;t Peppol e-invoicing enough to automate my invoices?<\/h3>\n<p>Since 1 January 2026, VAT-registered businesses established in Belgium must exchange B2B invoices in a structured format; Peppol, the international e-invoicing network, is the default. An invoice that arrives through Peppol delivers its data in structured form, but the invoice does not do the matching with the purchase order, or the posting of expense invoices to the right account and cost centre, by itself.<\/p>\n<h3>Can an AI agent post invoices on its own?<\/h3>\n<p>Not at first. In all our AI solutions, we build in a confidence threshold. At first, the agent only makes proposals and involves the accountant. It is given more autonomy only when the business decides so, up to a threshold the business chooses itself.<\/p>\n<h3>How quickly will you see results?<\/h3>\n<p>We start with a discovery session with your finance team: where the repetitive work sits, which processes or sub-processes go on a shortlist, and where generative AI does and does not contribute. In our estimate, a classic AI project used to take easily a year. With agentic development, we deliver a working, production-ready prototype in a few weeks. That is a prototype, not yet a result or a return.<\/p>\n<p>Would you rather watch the conversation than read about it?<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.20.4&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;0px||0px||true|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row admin_label=&#8221;Row&#8221; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; width=&#8221;100%&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2>This episode, and what comes next<\/h2>\n<p><strong>If you would rather watch than read<\/strong>, here is episode 2 of the JUVO Podcast: it runs for about eleven minutes, with Bart Nulens (Head of AI at JUVO) as guest and Lode as host, and it is in Dutch.<\/p>\n<p>[\/et_pb_text][et_pb_code _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<iframe width=\"560\" height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/aIWC2Bh9qcU?si=8o2cHu34gLrOGuLl\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"\"><\/iframe>[\/et_pb_code][et_pb_text _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Why AI projects fail was discussed in episode 1 of <a href=\"https:\/\/juvo.be\/en\/why-ai-projects-fail-four-decisions-made-before-the-first-line-of-code\/\" target=\"_blank\" rel=\"noopener\">the JUVO Podcast: episode 1: why AI projects fail.<\/a> More episodes of the JUVO Podcast are forthcoming. In the meantime, you might look closer to home: what do your invoices cost you today in terms of time?<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.20.4&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;0px||0px||true|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row admin_label=&#8221;Row&#8221; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; width=&#8221;100%&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.17.6&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_cta title=&#8221;Want to know where your invoices cost time today?&#8221; button_url=&#8221;https:\/\/juvo.be\/en\/accounts-payable-automation\/&#8221; url_new_window=&#8221;on&#8221; button_text=&#8221;See how we automate accounts payable&#8221; _builder_version=&#8221;4.27.9&#8243; _module_preset=&#8221;default&#8221; link_option_url=&#8221;https:\/\/juvo.be\/en\/accounts-payable-automation\/&#8221; link_option_url_new_window=&#8221;on&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>Together with your finance team, we look at where the repetitive work sits, and where generative AI does and does not help.<\/p>\n<p>[\/et_pb_cta][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Since 1 January 2026, VAT-registered businesses established in Belgium must exchange B2B invoices in a structured format; Peppol, the international e-invoicing network, is the default. Your OCR does what it was built for, yet after reading, the checking remains: if your team still does the matching and investigating by hand, that is the work that [&hellip;]<\/p>\n","protected":false},"author":15,"featured_media":80052,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","content-type":"","footnotes":""},"categories":[86],"tags":[],"class_list":["post-80062","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-procesautomatisering"],"acf":[],"_links":{"self":[{"href":"https:\/\/juvo.be\/en\/wp-json\/wp\/v2\/posts\/80062","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/juvo.be\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/juvo.be\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/juvo.be\/en\/wp-json\/wp\/v2\/users\/15"}],"replies":[{"embeddable":true,"href":"https:\/\/juvo.be\/en\/wp-json\/wp\/v2\/comments?post=80062"}],"version-history":[{"count":9,"href":"https:\/\/juvo.be\/en\/wp-json\/wp\/v2\/posts\/80062\/revisions"}],"predecessor-version":[{"id":80072,"href":"https:\/\/juvo.be\/en\/wp-json\/wp\/v2\/posts\/80062\/revisions\/80072"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/juvo.be\/en\/wp-json\/wp\/v2\/media\/80052"}],"wp:attachment":[{"href":"https:\/\/juvo.be\/en\/wp-json\/wp\/v2\/media?parent=80062"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/juvo.be\/en\/wp-json\/wp\/v2\/categories?post=80062"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/juvo.be\/en\/wp-json\/wp\/v2\/tags?post=80062"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}