{"id":17933,"date":"2026-04-22T02:10:24","date_gmt":"2026-04-22T00:10:24","guid":{"rendered":"https:\/\/www.antegma.com\/?page_id=17933"},"modified":"2026-04-23T02:34:08","modified_gmt":"2026-04-23T00:34:08","slug":"ai","status":"publish","type":"page","link":"https:\/\/www.antegma.com\/en\/partners\/monday-com\/ai\/","title":{"rendered":"monday AI: consulting &#038; implementation"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"17933\" class=\"elementor elementor-17933\" data-elementor-post-type=\"page\">\n\t\t\t\t<div class=\"elementor-element elementor-element-be6059c e-con-full e-flex e-con e-parent\" data-id=\"be6059c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t<div class=\"elementor-element elementor-element-cfb8773 e-flex e-con-boxed e-con e-child\" data-id=\"cfb8773\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2c042d3 elementor-widget elementor-widget-text-editor\" data-id=\"2c042d3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><strong>monday AI<\/strong> bundles the AI capabilities of the monday.com platform \u2014 <strong>monday magic<\/strong> as the AI-powered productivity layer in boards, docs, and automations, and <strong>monday sidekick<\/strong> as the conversational agent that executes actions inside monday. As a <strong>certified monday.com partner<\/strong>, we help organizations select use cases, implement, govern, and scale monday AI.<\/p><p>This page gives you the overview: what monday AI does, where it delivers the most leverage in work management, CRM, service, dev, and campaigns, which services we offer around AI use cases, and how we factor in GDPR and EU AI Act requirements from day one.<\/p><p>monday AI is cross-functional by design: the same AI building blocks are available in <a href=\"\/en\/partners\/monday-com\/work-management\/\">monday work management<\/a>, <a href=\"\/en\/partners\/monday-com\/crm\/\">monday CRM<\/a>, <a href=\"\/en\/partners\/monday-com\/service\/\">monday service<\/a>, <a href=\"\/en\/partners\/monday-com\/dev\/\">monday dev<\/a>, and <a href=\"\/en\/partners\/monday-com\/campaigns\/\">monday campaigns<\/a> \u2014 what you design once can be reused across the entire organization.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-940ef23 e-flex e-con-boxed e-con e-child\" data-id=\"940ef23\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-08b568a elementor-widget elementor-widget-heading\" data-id=\"08b568a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What is monday AI?<\/h2>\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0cd4cf7 e-flex e-con-boxed e-con e-child\" data-id=\"0cd4cf7\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-683e702 elementor-widget elementor-widget-image\" data-id=\"683e702\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"300\" height=\"169\" src=\"https:\/\/www.antegma.com\/wp-content\/uploads\/2026\/04\/monday-magic-logo-300x169.png\" class=\"attachment-medium size-medium wp-image-17909\" alt=\"monday magic Logo \u2014 AI features inside monday boards\" srcset=\"https:\/\/www.antegma.com\/wp-content\/uploads\/2026\/04\/monday-magic-logo-300x169.png 300w, https:\/\/www.antegma.com\/wp-content\/uploads\/2026\/04\/monday-magic-logo-1024x576.png 1024w, https:\/\/www.antegma.com\/wp-content\/uploads\/2026\/04\/monday-magic-logo-768x432.png 768w, https:\/\/www.antegma.com\/wp-content\/uploads\/2026\/04\/monday-magic-logo-1536x864.png 1536w, https:\/\/www.antegma.com\/wp-content\/uploads\/2026\/04\/monday-magic-logo.png 1920w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bc875a5 elementor-widget elementor-widget-image\" data-id=\"bc875a5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"300\" height=\"169\" src=\"https:\/\/www.antegma.com\/wp-content\/uploads\/2026\/04\/monday-sidekick-logo-300x169.png\" class=\"attachment-medium size-medium wp-image-17911\" alt=\"monday sidekick Logo \u2014 conversational AI agent for monday.com\" srcset=\"https:\/\/www.antegma.com\/wp-content\/uploads\/2026\/04\/monday-sidekick-logo-300x169.png 300w, https:\/\/www.antegma.com\/wp-content\/uploads\/2026\/04\/monday-sidekick-logo-1024x576.png 1024w, https:\/\/www.antegma.com\/wp-content\/uploads\/2026\/04\/monday-sidekick-logo-768x432.png 768w, https:\/\/www.antegma.com\/wp-content\/uploads\/2026\/04\/monday-sidekick-logo-1536x864.png 1536w, https:\/\/www.antegma.com\/wp-content\/uploads\/2026\/04\/monday-sidekick-logo-2048x1152.png 2048w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b6849dd elementor-widget elementor-widget-text-editor\" data-id=\"b6849dd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><strong>monday AI<\/strong> is the AI layer of the monday.com platform. Unlike external AI assistants like ChatGPT or Copilot in a browser tab, monday AI is integrated directly into the work objects \u2014 boards, items, columns, docs, automations, dashboards. The AI knows the context: who&#8217;s responsible, what status, what data is in neighboring columns, what history the item has.<\/p><p>The capability surface is structured into two brand building blocks:<\/p><ul><li><strong>monday magic<\/strong> \u2014 AI capabilities used as building blocks in boards and docs: AI columns that generate, classify, summarize, translate, or extract content; AI doc assistants that draft and rewrite text; AI automations that execute AI actions on trigger events (e.g. determine ticket category, write summary, draft follow-up).<\/li><li><strong>monday sidekick<\/strong> \u2014 the conversational AI agent. Instead of click navigation, users give instructions in natural language: create boards, update items, retrieve evaluations, generate content, kick off routine steps. sidekick acts as a central entry point for team members who don&#8217;t need to know every monday click path.<\/li><\/ul><p>Both building blocks run on the same AI engine and share governance, permissions, and data residency. Configure once, use in every monday product.<\/p><p>Compared to alternative AI surfaces, monday AI positions itself differently:<\/p><ul><li>Versus <strong>generic AI assistants<\/strong> like ChatGPT, Claude, or Copilot in a browser tab, monday AI has direct access to board context and can execute actions \u2014 not just generate text. No copy-paste between tool and AI window.<\/li><li>Versus <strong>in-product AI in other work-management and CRM platforms<\/strong> (e.g. Asana Intelligence, ClickUp AI, HubSpot Breeze, Salesforce Einstein\/Agentforce), monday AI is cross-product by design: the same AI setup covers project, sales, service, and dev workflows, instead of one isolated AI silo per tool.<\/li><li>Versus <strong>custom-built AI workflows<\/strong> on top of OpenAI API, LangChain, or similar, monday AI is significantly faster to deploy \u2014 at the cost of less deep customization. For most business use cases, that&#8217;s the right trade-off.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4b4b4c9 elementor-widget elementor-widget-video\" data-id=\"4b4b4c9\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=FsrNMGBq268&quot;,&quot;lazy_load&quot;:&quot;yes&quot;,&quot;yt_privacy&quot;:&quot;yes&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a8c8611 e-flex e-con-boxed e-con e-child\" data-id=\"a8c8611\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d567415 elementor-widget elementor-widget-heading\" data-id=\"d567415\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Where monday AI delivers the most leverage<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7973b0e elementor-widget elementor-widget-text-editor\" data-id=\"7973b0e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Six application areas show where monday AI can deliver value across products \u2014 not just in a single silo:<\/p><ul><li><strong>Status summaries in <a href=\"\/en\/partners\/monday-com\/work-management\/\">monday work management<\/a>.<\/strong> AI summarizes project updates, sprint status, or backlogs and generates reports for steering boards \u2014 project leads save the manual writing effort.<\/li><li><strong>Lead scoring and follow-up drafts in <a href=\"\/en\/partners\/monday-com\/crm\/\">monday CRM<\/a>.<\/strong> AI columns classify incoming leads by fit and intent; sidekick drafts personalized follow-up emails based on deal history.<\/li><li><strong>AI Service Workforce in <a href=\"\/en\/partners\/monday-com\/service\/\">monday service<\/a>.<\/strong> A team of AI agents resolves recurring requests autonomously, suggests responses and context for service reps, and routes more complex cases to the right person \u2014 based on knowledge base, ticket history, guardrails, and workflow logic. Every AI action is visible, traceable, and auditable.<\/li><li><strong>AI across the entire dev lifecycle in <a href=\"\/en\/partners\/monday-com\/dev\/\">monday dev<\/a>.<\/strong> AI summarizes updates, generates tickets, drafts acceptance criteria, routes work, predicts risks, supports sprint planning, and powers AI agents that complete tasks end-to-end in the workflow.<\/li><li><strong>AI Campaign Builder in <a href=\"\/en\/partners\/monday-com\/campaigns\/\">monday campaigns<\/a>.<\/strong> A complete campaign setup emerges from a brief \u2014 channels, asset briefings, approval stages \u2014 as a starting point for creative and MarOps teams.<\/li><li><strong>Cross-functional doc work.<\/strong> In monday Docs, AI drafts, summarizes, and translates content; the doc assistant knows linked boards and can include item data directly.<\/li><\/ul><p>Each of these use cases can be implemented as a standalone first AI release \u2014 without rebuilding the entire platform. Start where the manual effort is most painful today.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6bd3170 e-flex e-con-boxed e-con e-child\" data-id=\"6bd3170\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9707809 elementor-widget elementor-widget-heading\" data-id=\"9707809\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Functions and features<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d47b363 elementor-widget elementor-widget-text-editor\" data-id=\"d47b363\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>monday AI provides six function groups that can be used in every monday product. The most important building blocks:<\/p><p><strong>AI columns (monday magic columns)<\/strong><\/p><ul><li><strong>Generate<\/strong> \u2014 produces text based on prompts and neighboring column content (e.g. product descriptions, follow-up drafts, customer responses).<\/li><li><strong>Summarize<\/strong> \u2014 condenses longer content (comments, linked docs, ticket threads) into 2\u20133 sentences.<\/li><li><strong>Classify \/ categorize<\/strong> \u2014 assigns items to predefined categories (lead stage, ticket category, risk level, content type).<\/li><li><strong>Sentiment<\/strong> \u2014 analyzes sentiment in feedback, customer comments, review text, or ticket descriptions.<\/li><li><strong>Translate<\/strong> \u2014 translates content between languages, particularly relevant for multi-country teams.<\/li><li><strong>Extract<\/strong> \u2014 pulls structured data from unstructured content (e.g. budget figures from email text, contacts from lead descriptions).<\/li><\/ul><p><strong>AI automations<\/strong><\/p><ul><li><strong>Trigger-AI-action recipes<\/strong> \u2014 on events (item created, status changed, comment added), monday AI executes configurable actions: set category, write summary, draft notification, suggest next step.<\/li><li><strong>AI as a step in multi-step automations<\/strong> \u2014 AI actions can be chained with classic no-code automations: AI classifies \u2192 automatic routing rule fires.<\/li><\/ul><p><strong>AI in monday Docs<\/strong><\/p><ul><li><strong>Auto-formulate, rewrite, summarize, translate<\/strong> \u2014 directly in the document via slash command or side panel.<\/li><li><strong>Board context inclusion<\/strong> \u2014 the doc assistant knows linked boards and can incorporate item data, status values, and ownership directly into generated text.<\/li><\/ul><p><strong>monday sidekick (conversational agent)<\/strong><\/p><ul><li><strong>Natural-language commands<\/strong> \u2014 &#8220;Show me all open deals over \u20ac50,000 with close date next month&#8221;, &#8220;Create a sprint status summary for the engineering team&#8221;, &#8220;Write a follow-up to account XY&#8221;.<\/li><li><strong>Action execution<\/strong> \u2014 sidekick can create items, update fields, write comments, send notifications \u2014 not just retrieve information.<\/li><li><strong>Entry point for occasional users<\/strong> \u2014 team members who don&#8217;t need to know every click path in monday work via sidekick; power users continue to use the classic UI.<\/li><\/ul><p><strong>Cross-product AI<\/strong><\/p><ul><li><strong>Unified AI setup layer<\/strong> \u2014 a prompt or AI column design is reusable in work management, CRM, service, dev, and campaigns.<\/li><li><strong>Cross-product workflows<\/strong> \u2014 AI actions that combine boards from multiple products (e.g. Closed-Won deal in CRM triggers AI-generated onboarding project plan in work management).<\/li><\/ul><p><strong>Governance and security<\/strong><\/p><ul><li><strong>Permissions<\/strong> \u2014 granular control over which roles may trigger AI actions; which boards are open for AI access.<\/li><li><strong>Audit logs<\/strong> \u2014 every AI action is traceably logged (trigger, prompt, model, timestamp).<\/li><li><strong>Data residency<\/strong> \u2014 EU regions for monday data available; prompts and AI responses are not used for model training outside your environment.<\/li><li><strong>Model selection<\/strong> \u2014 monday uses established foundation models; details on providers, regions, and retention are part of monday&#8217;s compliance documentation and are agreed with the customer in the discovery phase.<\/li><li><strong>Enterprise-grade base<\/strong> \u2014 SOC 2, ISO 27001, GDPR-compliant (for the monday platform layer); DPA sign-off standard.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d7ed860 elementor-pagination-position-inside elementor-arrows-position-inside elementor-widget elementor-widget-image-carousel\" data-id=\"d7ed860\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;slides_to_show&quot;:&quot;1&quot;,&quot;lazyload&quot;:&quot;yes&quot;,&quot;navigation&quot;:&quot;both&quot;,&quot;autoplay&quot;:&quot;yes&quot;,&quot;pause_on_hover&quot;:&quot;yes&quot;,&quot;pause_on_interaction&quot;:&quot;yes&quot;,&quot;autoplay_speed&quot;:5000,&quot;infinite&quot;:&quot;yes&quot;,&quot;effect&quot;:&quot;slide&quot;,&quot;speed&quot;:500}\" data-widget_type=\"image-carousel.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-image-carousel-wrapper swiper\" role=\"region\" aria-roledescription=\"carousel\" aria-label=\"Image Carousel\" dir=\"ltr\">\n\t\t\t<div class=\"elementor-image-carousel swiper-wrapper\" aria-live=\"off\">\n\t\t\t\t\t\t\t\t<div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"1 of 7\"><figure class=\"swiper-slide-inner\"><img class=\"swiper-slide-image swiper-lazy\" data-src=\"https:\/\/www.antegma.com\/wp-content\/uploads\/2026\/04\/monday-ai-blocks.png\" alt=\"monday AI Blocks \u2014 AI-Spalten in einem monday-Board\" \/><div class=\"swiper-lazy-preloader\"><\/div><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"2 of 7\"><figure class=\"swiper-slide-inner\"><img class=\"swiper-slide-image swiper-lazy\" data-src=\"https:\/\/www.antegma.com\/wp-content\/uploads\/2026\/04\/monday-ai-resource-management.png\" alt=\"monday AI Resource Management Use-Case\" \/><div class=\"swiper-lazy-preloader\"><\/div><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"3 of 7\"><figure class=\"swiper-slide-inner\"><img class=\"swiper-slide-image swiper-lazy\" data-src=\"https:\/\/www.antegma.com\/wp-content\/uploads\/2026\/04\/monday-ai-offering.png\" alt=\"monday AI Offering \u00dcbersicht\" \/><div class=\"swiper-lazy-preloader\"><\/div><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"4 of 7\"><figure class=\"swiper-slide-inner\"><img class=\"swiper-slide-image swiper-lazy\" data-src=\"https:\/\/www.antegma.com\/wp-content\/uploads\/2026\/04\/monday-ai-risk-management.png\" alt=\"monday AI Risk Management Use-Case\" \/><div class=\"swiper-lazy-preloader\"><\/div><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"5 of 7\"><figure class=\"swiper-slide-inner\"><img class=\"swiper-slide-image swiper-lazy\" data-src=\"https:\/\/www.antegma.com\/wp-content\/uploads\/2026\/04\/monday-magic-1.png\" alt=\"monday magic Feature-\u00dcbersicht 1\" \/><div class=\"swiper-lazy-preloader\"><\/div><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"6 of 7\"><figure class=\"swiper-slide-inner\"><img class=\"swiper-slide-image swiper-lazy\" data-src=\"https:\/\/www.antegma.com\/wp-content\/uploads\/2026\/04\/monday-magic-2-eng-scaled.png\" alt=\"monday magic Feature-\u00dcbersicht 2\" \/><div class=\"swiper-lazy-preloader\"><\/div><\/figure><\/div><div class=\"swiper-slide\" role=\"group\" aria-roledescription=\"slide\" aria-label=\"7 of 7\"><figure class=\"swiper-slide-inner\"><img class=\"swiper-slide-image swiper-lazy\" data-src=\"https:\/\/www.antegma.com\/wp-content\/uploads\/2026\/04\/monday-sidekick-screen-scaled.png\" alt=\"monday sidekick konversationeller Agent in Aktion\" \/><div class=\"swiper-lazy-preloader\"><\/div><\/figure><\/div>\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-swiper-button elementor-swiper-button-prev\" role=\"button\" tabindex=\"0\">\n\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-eicon-chevron-left\" viewBox=\"0 0 1000 1000\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M646 125C629 125 613 133 604 142L308 442C296 454 292 471 292 487 292 504 296 521 308 533L604 854C617 867 629 875 646 875 663 875 679 871 692 858 704 846 713 829 713 812 713 796 708 779 692 767L438 487 692 225C700 217 708 204 708 187 708 171 704 154 692 142 675 129 663 125 646 125Z\"><\/path><\/svg>\t\t\t\t\t<\/div>\n\t\t\t\t\t<div class=\"elementor-swiper-button elementor-swiper-button-next\" role=\"button\" tabindex=\"0\">\n\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-eicon-chevron-right\" viewBox=\"0 0 1000 1000\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M696 533C708 521 713 504 713 487 713 471 708 454 696 446L400 146C388 133 375 125 354 125 338 125 325 129 313 142 300 154 292 171 292 187 292 204 296 221 308 233L563 492 304 771C292 783 288 800 288 817 288 833 296 850 308 863 321 871 338 875 354 875 371 875 388 867 400 854L696 533Z\"><\/path><\/svg>\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<div class=\"swiper-pagination\"><\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-010f075 e-flex e-con-boxed e-con e-child\" data-id=\"010f075\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cedcf40 elementor-widget elementor-widget-heading\" data-id=\"cedcf40\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Our services for monday AI<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7782e93 elementor-widget elementor-widget-text-editor\" data-id=\"7782e93\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>We support monday AI projects in six progressive steps. Depending on maturity and use-case complexity, we combine the services modularly:<\/p><ol><li><strong>AI use-case discovery.<\/strong> We identify where AI actually saves time in your processes \u2014 and where it just generates noise. The result: a prioritized backlog of 5\u201310 AI use cases with estimated effort and business impact, clustered by monday product.<\/li><li><strong>Prompt engineering and AI column design.<\/strong> Concrete prompts, fallback rules, input and output formats for AI columns; iterative testing and tuning against real board data; documentation as a prompt library for reuse.<\/li><li><strong>AI workflow implementation (cross-tool).<\/strong> Implementing the prioritized use cases \u2014 as AI columns, AI automations, sidekick scenarios, and where needed, connected cross-tool via Make.com, Zapier, or the monday GraphQL API with Microsoft 365, Salesforce, HubSpot, or your own data sources.<\/li><li><strong>Governance and compliance setup.<\/strong> GDPR check for generative AI (DPA, prompt data, personal data), EU AI Act categorization of use cases, permission and audit concept, transparency notices for end users. We work closely with your data protection and IT security teams.<\/li><li><strong>Enablement and change management.<\/strong> Training for end users, power users, and admins; building an AI operating model (who may change prompts, who reviews AI output, how feedback is fed back); communication against AI skepticism and unrealistic expectations.<\/li><li><strong>Monitoring and iteration.<\/strong> Measuring AI usage, output quality, and savings; regular prompt reviews; expansion with new use cases once the core is stable.<\/li><\/ol><p>The approach is iterative: first productive AI use cases in three to five weeks, further extensions as needed. AI projects are not set up as big bang \u2014 we learn with your team through concrete use.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f3ff3ec e-flex e-con-boxed e-con e-child\" data-id=\"f3ff3ec\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-df458c5 elementor-widget elementor-widget-heading\" data-id=\"df458c5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Why antegma as your partner for monday AI<\/h2>\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2482ace e-grid e-con-boxed e-con e-child\" data-id=\"2482ace\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7a35f22 elementor-view-default elementor-position-block-start elementor-mobile-position-block-start elementor-widget elementor-widget-icon-box\" data-id=\"7a35f22\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-arrows-up-to-line\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tIterative methodology\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tFirst productive AI use cases in three to five weeks. Scaling follows once the first cases are proven \u2014 AI projects without measurable impact are stopped, not rolled out broadly.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-25ae981 elementor-view-default elementor-position-block-start elementor-mobile-position-block-start elementor-widget elementor-widget-icon-box\" data-id=\"25ae981\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-globe\" viewBox=\"0 0 496 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M336.5 160C322 70.7 287.8 8 248 8s-74 62.7-88.5 152h177zM152 256c0 22.2 1.2 43.5 3.3 64h185.3c2.1-20.5 3.3-41.8 3.3-64s-1.2-43.5-3.3-64H155.3c-2.1 20.5-3.3 41.8-3.3 64zm324.7-96c-28.6-67.9-86.5-120.4-158-141.6 24.4 33.8 41.2 84.7 50 141.6h108zM177.2 18.4C105.8 39.6 47.8 92.1 19.3 160h108c8.7-56.9 25.5-107.8 49.9-141.6zM487.4 192H372.7c2.1 21 3.3 42.5 3.3 64s-1.2 43-3.3 64h114.6c5.5-20.5 8.6-41.8 8.6-64s-3.1-43.5-8.5-64zM120 256c0-21.5 1.2-43 3.3-64H8.6C3.2 212.5 0 233.8 0 256s3.2 43.5 8.6 64h114.6c-2-21-3.2-42.5-3.2-64zm39.5 96c14.5 89.3 48.7 152 88.5 152s74-62.7 88.5-152h-177zm159.3 141.6c71.4-21.2 129.4-73.7 158-141.6h-108c-8.8 56.9-25.6 107.8-50 141.6zM19.3 352c28.6 67.9 86.5 120.4 158 141.6-24.4-33.8-41.2-84.7-50-141.6h-108z\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tLocal presence\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tConsulting and implementation in German and English, with teams in Munich and St. Georgen. Data processing in the EU, one time zone, one legal framework \u2014 relevant for generative AI and personal prompts.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4d22633 elementor-view-default elementor-position-block-start elementor-mobile-position-block-start elementor-widget elementor-widget-icon-box\" data-id=\"4d22633\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-shield-halved\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tGDPR and EU AI Act readiness\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tWe know the requirements from GDPR, DPA sign-off, and EU AI Act categorization. Governance, transparency, and audit concepts are built alongside the implementation, not after the fact.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1740fd7 elementor-view-default elementor-position-block-start elementor-mobile-position-block-start elementor-widget elementor-widget-icon-box\" data-id=\"1740fd7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-diagram-project\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tCross-product architecture\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tmonday AI is only powerful when use cases are designed cross-functionally. We think AI setups across work management, CRM, service, dev, and campaigns \u2014 a shared prompt library instead of isolated AI silos.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-eb6169d elementor-view-default elementor-position-block-start elementor-mobile-position-block-start elementor-widget elementor-widget-icon-box\" data-id=\"eb6169d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-brain\" viewBox=\"0 0 576 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M208 0c-29.9 0-54.7 20.5-61.8 48.2-.8 0-1.4-.2-2.2-.2-35.3 0-64 28.7-64 64 0 4.8.6 9.5 1.7 14C52.5 138 32 166.6 32 200c0 12.6 3.2 24.3 8.3 34.9C16.3 248.7 0 274.3 0 304c0 33.3 20.4 61.9 49.4 73.9-.9 4.6-1.4 9.3-1.4 14.1 0 39.8 32.2 72 72 72 4.1 0 8.1-.5 12-1.2 9.6 28.5 36.2 49.2 68 49.2 39.8 0 72-32.2 72-72V64c0-35.3-28.7-64-64-64zm368 304c0-29.7-16.3-55.3-40.3-69.1 5.2-10.6 8.3-22.3 8.3-34.9 0-33.4-20.5-62-49.7-74 1-4.5 1.7-9.2 1.7-14 0-35.3-28.7-64-64-64-.8 0-1.5.2-2.2.2C422.7 20.5 397.9 0 368 0c-35.3 0-64 28.6-64 64v376c0 39.8 32.2 72 72 72 31.8 0 58.4-20.7 68-49.2 3.9.7 7.9 1.2 12 1.2 39.8 0 72-32.2 72-72 0-4.8-.5-9.5-1.4-14.1 29-12 49.4-40.6 49.4-73.9z\"><\/path><\/svg>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tAI implementation experience\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tWe have implemented enterprise AI use cases in marketing, operations, and IT contexts \u2014 from structured prompt engineering to AI workflow automation to governance. We bring that experience into monday AI.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-91122f4 elementor-view-default elementor-position-block-start elementor-mobile-position-block-start elementor-widget elementor-widget-icon-box\" data-id=\"91122f4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-icon-box-wrapper\">\n\n\t\t\t\t\t\t<div class=\"elementor-icon-box-icon\">\n\t\t\t\t<span  class=\"elementor-icon\">\n\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-circle-check\"><\/i>\t\t\t\t<\/span>\n\t\t\t<\/div>\n\t\t\t\n\t\t\t\t\t\t<div class=\"elementor-icon-box-content\">\n\n\t\t\t\t\t\t\t\t\t<h3 class=\"elementor-icon-box-title\">\n\t\t\t\t\t\t<span  >\n\t\t\t\t\t\t\tCertified monday.com partner\t\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/h3>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<p class=\"elementor-icon-box-description\">\n\t\t\t\t\t\tantegma is officially certified as a monday.com partner. AI setup recommendations, governance patterns, and integration decisions reflect the current state of the platform.\t\t\t\t\t<\/p>\n\t\t\t\t\n\t\t\t<\/div>\n\t\t\t\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3fb31bf e-flex e-con-boxed e-con e-child\" data-id=\"3fb31bf\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-fae48d8 elementor-widget elementor-widget-heading\" data-id=\"fae48d8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Ready to use monday AI productively?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e70b578 elementor-widget elementor-widget-text-editor\" data-id=\"e70b578\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>If you&#8217;re rolling out monday AI, want to prioritize concrete AI use cases, or are setting up governance for generative AI in monday, we start with an initial conversation. The outcome: a prioritized use-case backlog, a realistic effort and impact estimate, and a clear categorization of GDPR and EU AI Act requirements for your cases.<br \/>Want to try monday and the AI capabilities yourself first? Start for free via our partner link.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d27d016 e-flex e-con-boxed e-con e-child\" data-id=\"d27d016\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-953a35f elementor-widget elementor-widget-button\" data-id=\"953a35f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-lg\" href=\"\/en\/contact\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Book an initial conversation<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b9f5ae2 elementor-widget elementor-widget-button\" data-id=\"b9f5ae2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-lg\" href=\"https:\/\/try.monday.com\/dgs246mkufd2-p7wfga\" target=\"_blank\" rel=\"sponsored noopener\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Try monday AI for free<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3d77647 elementor-widget elementor-widget-text-editor\" data-id=\"3d77647\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p style=\"font-size: 0.75em; opacity: 0.85; color: #ffffff;\"><em>If a contract is signed via our partner link, antegma receives a referral commission from monday.com. There are no additional costs for you.<\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3c8b577 e-flex e-con-boxed e-con e-child\" data-id=\"3c8b577\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b188b43 elementor-widget elementor-widget-heading\" data-id=\"b188b43\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Frequently asked questions about monday AI<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1296b0b elementor-widget elementor-widget-n-accordion\" data-id=\"1296b0b\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;default_state&quot;:&quot;all_collapsed&quot;,&quot;max_items_expended&quot;:&quot;one&quot;,&quot;n_accordion_animation_duration&quot;:{&quot;unit&quot;:&quot;ms&quot;,&quot;size&quot;:400,&quot;sizes&quot;:[]}}\" data-widget_type=\"nested-accordion.default\">\n\t\t\t\t\t\t\t<div class=\"e-n-accordion\" aria-label=\"Accordion. Open links with Enter or Space, close with Escape, and navigate with Arrow Keys\">\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1940\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"1\" tabindex=\"0\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1940\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h3 class=\"e-n-accordion-item-title-text\"> What is monday AI? <\/h3><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1940\" class=\"elementor-element elementor-element-1450e4d e-con-full e-flex e-con e-child\" data-id=\"1450e4d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-27bbc3d elementor-widget elementor-widget-text-editor\" data-id=\"27bbc3d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>monday AI is the AI layer integrated into the monday.com platform. It consists of <strong>monday magic<\/strong> (AI columns, AI automations, AI capabilities in docs) and <strong>monday sidekick<\/strong> (conversational AI agent that executes actions in monday). Both building blocks work in context with board data and are usable across all five monday products \u2014 work management, CRM, service, dev, campaigns.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1941\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"2\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1941\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h3 class=\"e-n-accordion-item-title-text\"> What's the difference between monday magic and monday sidekick? <\/h3><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1941\" class=\"elementor-element elementor-element-c012b73 e-con-full e-flex e-con e-child\" data-id=\"c012b73\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-06a95eb elementor-widget elementor-widget-text-editor\" data-id=\"06a95eb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><strong>monday magic<\/strong> are AI building blocks embedded in boards and docs: AI columns that generate, classify, or summarize content; AI automations that trigger AI actions on events; AI capabilities in docs. <strong>monday sidekick<\/strong> is the conversational agent: users write what they want to do in natural language (query boards, update items, generate content), and sidekick executes the action. magic is infrastructure, sidekick is interface \u2014 both access the same AI engine and the same governance rules.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1942\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"3\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1942\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h3 class=\"e-n-accordion-item-title-text\"> When is monday AI the right choice compared to ChatGPT, Copilot, or Notion AI? <\/h3><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1942\" class=\"elementor-element elementor-element-70c628a e-con-full e-flex e-con e-child\" data-id=\"70c628a\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4012ac0 elementor-widget elementor-widget-text-editor\" data-id=\"4012ac0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Generic AI assistants like ChatGPT, Claude, or Copilot are strong for open research, writing help, or one-off analyses. But they don&#8217;t have context on your monday boards, deals, tickets, or sprints \u2014 and can&#8217;t execute actions there. <strong>monday AI<\/strong> is the better choice when AI should act directly on work objects (update items, attach summaries to boards, draft follow-ups) and when the same AI patterns should be reused cross-product in CRM, service, and dev. In many organizations, both layers complement each other \u2014 we advise on which use cases fit better where.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1943\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"4\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1943\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h3 class=\"e-n-accordion-item-title-text\"> Which models power monday AI? Where are prompts and data processed? <\/h3><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1943\" class=\"elementor-element elementor-element-4f99967 e-con-full e-flex e-con e-child\" data-id=\"4f99967\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f539c63 elementor-widget elementor-widget-text-editor\" data-id=\"f539c63\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>monday AI uses established foundation models (including OpenAI-based models; the exact current state is documented by monday in the Trust Center). Prompts and AI responses are processed within monday&#8217;s infrastructure and <strong>not used for training public models<\/strong>. EU data residency options are available. In the discovery phase, we review jointly with your data protection team which configuration is required for your use case and DPA requirements.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1944\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"5\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1944\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h3 class=\"e-n-accordion-item-title-text\"> How does monday AI integrate with our existing stack? <\/h3><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1944\" class=\"elementor-element elementor-element-06ce2bb e-con-full e-flex e-con e-child\" data-id=\"06ce2bb\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d0a9d60 elementor-widget elementor-widget-text-editor\" data-id=\"d0a9d60\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>monday AI workflows can be connected to existing systems via the monday GraphQL API, native integrations (Microsoft 365, Salesforce, HubSpot, Slack, DocuSign, Jira, Zendesk, and others), and via automation platforms like Make.com and Zapier. Typical patterns: AI reads CRM data from Salesforce\/HubSpot, produces structured outputs in monday (e.g. onboarding projects), and writes results back. The architecture is designed in the discovery phase along your existing tools and data sources.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1945\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"6\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1945\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h3 class=\"e-n-accordion-item-title-text\"> Which monday AI use cases are worthwhile as a starting point? <\/h3><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1945\" class=\"elementor-element elementor-element-f2c7dc7 e-con-full e-flex e-con e-child\" data-id=\"f2c7dc7\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ab5d6d7 elementor-widget elementor-widget-text-editor\" data-id=\"ab5d6d7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>The most value at the start usually comes from: <strong>status summaries<\/strong> (project or sprint reports from board content), <strong>classification<\/strong> (leads, tickets, bugs), and <strong>drafting capabilities<\/strong> (follow-up emails, ticket replies, content variants). These use cases have high manual effort, clear input-output patterns, and are easily measurable \u2014 ideal for learning what AI delivers in your context. More complex workflows (cross-tool automation, full sidekick agent scenarios) come in later releases, once the team has built AI confidence.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1946\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"7\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1946\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h3 class=\"e-n-accordion-item-title-text\"> How long does a monday AI use-case implementation take? <\/h3><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1946\" class=\"elementor-element elementor-element-ad626c4 e-con-full e-flex e-con e-child\" data-id=\"ad626c4\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2d1a212 elementor-widget elementor-widget-text-editor\" data-id=\"2d1a212\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>A first productive AI use case \u2014 such as an AI column for ticket classification or an AI automation for status summaries \u2014 is typically implemented and live in <strong>three to five weeks<\/strong>. Larger scenarios (multiple AI columns across multiple boards, sidekick configuration for an entire team, cross-tool AI workflows with Make.com or GraphQL API) take correspondingly longer. What matters is an early measurable core \u2014 the team learns from it, and further use cases are prioritized against it.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1947\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"8\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1947\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h3 class=\"e-n-accordion-item-title-text\"> How much does monday AI cost? <\/h3><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1947\" class=\"elementor-element elementor-element-a59469a e-con-full e-flex e-con e-child\" data-id=\"a59469a\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a6f311f elementor-widget elementor-widget-text-editor\" data-id=\"a6f311f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>monday licenses AI capabilities as an add-on to the monday platform \u2014 exact terms depend on user tier (Pro, Enterprise) and AI credits package. Current list prices are on <a href=\"https:\/\/monday.com\/pricing\" target=\"_blank\" rel=\"nofollow noopener\">monday.com\/pricing<\/a>. As part of our consulting, antegma helps select the right tier, calculate AI credit consumption realistically, and \u2014 where useful \u2014 license through the partner channel.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1948\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"9\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1948\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h3 class=\"e-n-accordion-item-title-text\"> Is monday AI EU AI Act compliant? What do we need to consider? <\/h3><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1948\" class=\"elementor-element elementor-element-3334fba e-con-full e-flex e-con e-child\" data-id=\"3334fba\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e9321fd elementor-widget elementor-widget-text-editor\" data-id=\"e9321fd\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>The EU AI Act distinguishes use cases by risk \u2014 most typical monday AI scenarios (summarizing, classifying, drafting text) fall into the &#8220;minimal&#8221; or &#8220;limited&#8221; risk category and primarily require transparency notices for end users and clean documentation. High-risk use cases (e.g. AI-supported HR decisions) should not run on generic AI capabilities. We categorize your planned use cases in the discovery phase along the AI Act and put the required transparency, documentation, and governance mechanisms in place \u2014 in coordination with your data protection and compliance teams.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1949\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"10\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1949\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><h3 class=\"e-n-accordion-item-title-text\"> How do we prevent AI hallucinations or wrong AI actions in monday? <\/h3><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-minus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h384c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-plus\" viewBox=\"0 0 448 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M416 208H272V64c0-17.67-14.33-32-32-32h-32c-17.67 0-32 14.33-32 32v144H32c-17.67 0-32 14.33-32 32v32c0 17.67 14.33 32 32 32h144v144c0 17.67 14.33 32 32 32h32c17.67 0 32-14.33 32-32V304h144c17.67 0 32-14.33 32-32v-32c0-17.67-14.33-32-32-32z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1949\" class=\"elementor-element elementor-element-7a82178 e-con-full e-flex e-con e-child\" data-id=\"7a82178\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0ecd67d elementor-widget elementor-widget-text-editor\" data-id=\"0ecd67d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>We combine three levers: (1) <strong>Human-in-the-loop design<\/strong> \u2014 AI drafts, the human reviews and publishes (especially for customer communication, personal decisions, and financial actions). (2) <strong>Tighter prompts and guardrails<\/strong> \u2014 AI is scoped to clearly bounded tasks rather than open &#8220;do-anything&#8221; prompts. (3) <strong>Audit logs and monitoring<\/strong> \u2014 every AI action is traceable, error rates are measured and feed back into prompt iteration and guardrail adjustments. Governance is built in from the start, not added after the fact.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<script type=\"application\/ld+json\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What is monday AI?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"monday AI is the AI layer integrated into the monday.com platform. It consists of monday magic (AI columns, AI automations, AI capabilities in docs) and monday sidekick (conversational AI agent that executes actions in monday). Both building blocks work in context with board data and are usable across all five monday products \\u2014 work management, CRM, service, dev, campaigns.\"}},{\"@type\":\"Question\",\"name\":\"What's the difference between monday magic and monday sidekick?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"monday magic are AI building blocks embedded in boards and docs: AI columns that generate, classify, or summarize content; AI automations that trigger AI actions on events; AI capabilities in docs. monday sidekick is the conversational agent: users write what they want to do in natural language (query boards, update items, generate content), and sidekick executes the action. magic is infrastructure, sidekick is interface \\u2014 both access the same AI engine and the same governance rules.\"}},{\"@type\":\"Question\",\"name\":\"When is monday AI the right choice compared to ChatGPT, Copilot, or Notion AI?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"Generic AI assistants like ChatGPT, Claude, or Copilot are strong for open research, writing help, or one-off analyses. But they don&#8217;t have context on your monday boards, deals, tickets, or sprints \\u2014 and can&#8217;t execute actions there. monday AI is the better choice when AI should act directly on work objects (update items, attach summaries to boards, draft follow-ups) and when the same AI patterns should be reused cross-product in CRM, service, and dev. In many organizations, both layers complement each other \\u2014 we advise on which use cases fit better where.\"}},{\"@type\":\"Question\",\"name\":\"Which models power monday AI? Where are prompts and data processed?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"monday AI uses established foundation models (including OpenAI-based models; the exact current state is documented by monday in the Trust Center). Prompts and AI responses are processed within monday&#8217;s infrastructure and not used for training public models. EU data residency options are available. In the discovery phase, we review jointly with your data protection team which configuration is required for your use case and DPA requirements.\"}},{\"@type\":\"Question\",\"name\":\"How does monday AI integrate with our existing stack?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"monday AI workflows can be connected to existing systems via the monday GraphQL API, native integrations (Microsoft 365, Salesforce, HubSpot, Slack, DocuSign, Jira, Zendesk, and others), and via automation platforms like Make.com and Zapier. Typical patterns: AI reads CRM data from Salesforce\\\/HubSpot, produces structured outputs in monday (e.g. onboarding projects), and writes results back. The architecture is designed in the discovery phase along your existing tools and data sources.\"}},{\"@type\":\"Question\",\"name\":\"Which monday AI use cases are worthwhile as a starting point?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The most value at the start usually comes from: status summaries (project or sprint reports from board content), classification (leads, tickets, bugs), and drafting capabilities (follow-up emails, ticket replies, content variants). These use cases have high manual effort, clear input-output patterns, and are easily measurable \\u2014 ideal for learning what AI delivers in your context. 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What matters is an early measurable core \\u2014 the team learns from it, and further use cases are prioritized against it.\"}},{\"@type\":\"Question\",\"name\":\"How much does monday AI cost?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"monday licenses AI capabilities as an add-on to the monday platform \\u2014 exact terms depend on user tier (Pro, Enterprise) and AI credits package. Current list prices are on monday.com\\\/pricing. As part of our consulting, antegma helps select the right tier, calculate AI credit consumption realistically, and \\u2014 where useful \\u2014 license through the partner channel.\"}},{\"@type\":\"Question\",\"name\":\"Is monday AI EU AI Act compliant? What do we need to consider?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The EU AI Act distinguishes use cases by risk \\u2014 most typical monday AI scenarios (summarizing, classifying, drafting text) fall into the &#8220;minimal&#8221; or &#8220;limited&#8221; risk category and primarily require transparency notices for end users and clean documentation. High-risk use cases (e.g. AI-supported HR decisions) should not run on generic AI capabilities. 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Governance is built in from the start, not added after the fact.\"}}]}<\/script>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>antegma ist zertifizierter monday.com Partner. Beratung und Implementierung f\u00fcr monday AI, monday magic und monday sidekick \u2014 produktiv nutzen.<\/p>\n","protected":false},"author":2,"featured_media":17865,"parent":17953,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-17933","page","type-page","status-publish","has-post-thumbnail","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.4 (Yoast SEO v27.4) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>monday AI: consulting &amp; implementation | antegma<\/title>\n<meta name=\"description\" content=\"antegma ist zertifizierter monday.com Partner. 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