{"id":359492,"date":"2026-08-26T04:23:28","date_gmt":"2026-08-26T09:23:28","guid":{"rendered":"https:\/\/monday.com\/blog\/?p=359492"},"modified":"2026-08-26T07:55:16","modified_gmt":"2026-08-26T12:55:16","slug":"monday-ai-credits","status":"publish","type":"post","link":"https:\/\/monday.com\/blog\/ai-agents\/monday-ai-credits\/","title":{"rendered":"What are monday AI credits and how do they work?"},"content":{"rendered":"<div class=\"text-block\" id=\"text-block-1\">\n<p>Anyone using AI in their work needs it available whenever they reach for it. monday AI credits make that possible by turning AI usage into something you can see and plan for.<\/p>\n<p>Credits work like a phone plan: your subscription includes an allocation where each AI action deducts a known amount, and you can check your balance anytime. This guide covers how monday AI credits work in more detail. You&#8217;ll learn how many come with each plan, which features consume them, and how to estimate what your team needs.<\/p>\n<a class=\"cta-button blue-button\" aria-label=\"Get started\" href=\"https:\/\/auth.monday.com\/users\/sign_up_new\" target=\"_blank\">Get started<\/a>\n\n<\/div>\n<div class=\"text-block\" id=\"text-block-2\">\n<h2 class=\"h2 text-block__title\">Key takeaways<\/h2>\n<ul>\n<li><strong>Your AI credit balance is shared:<\/strong> every team member draws from one account-level pool, so sales, marketing, and ops can all use AI without managing separate budgets.<\/li>\n<li><strong>Many powerful AI features cost zero credits:<\/strong> the email generator, formula builder, and AI-assisted updates are free \u2014 start there before spending credits on heavier actions.<\/li>\n<li><strong>monday agents handle the work so your team can focus on higher-value activities:<\/strong> the AI Sales Agent calls and qualifies leads autonomously, while the Lead Agent continuously fills your pipeline with enriched prospects, all tracked against real revenue outcomes.<\/li>\n<li><strong>Credit costs scale with complexity, and you control that:<\/strong> routine actions like categorization cost less than multi-step agent runs \u2014 choosing the right model for each workflow keeps your budget focused on what matters.<\/li>\n<li><strong>The governance dashboard turns AI spend into a managed cost:<\/strong> track usage by person or team, set alerts at 80% and 100%, and export data for budget reporting.<\/li>\n<\/ul>\n\n<img width=\"1024\" height=\"454\" src=\"https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/07\/Screenshot-2026-07-08-at-12.02.35-1024x454.png\" class=\"attachment-large size-large\" alt=\"monday agents\" loading=\"lazy\" decoding=\"async\" srcset=\"https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/07\/Screenshot-2026-07-08-at-12.02.35-1024x454.png 1024w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/07\/Screenshot-2026-07-08-at-12.02.35-300x133.png 300w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/07\/Screenshot-2026-07-08-at-12.02.35-768x341.png 768w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/07\/Screenshot-2026-07-08-at-12.02.35-1536x681.png 1536w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/07\/Screenshot-2026-07-08-at-12.02.35-2048x908.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/>\n<\/div>\n<div class=\"text-block\" id=\"text-block-3\">\n<h2 class=\"h2 text-block__title\">What are monday AI credits?<\/h2>\n<p>A monday AI credit is the unit that measures AI usage across the monday AI Workspace. Think of credits like prepaid minutes on a phone plan. You get an allocation with your subscription and each AI action you take deducts a known amount. This makes it easy to monitor usage, so you can top up your AI credits whenever you need them.<\/p>\n<p>Each credit represents one metered <a href=\"https:\/\/monday.com\/blog\/ai-agents\/how-ai-works\/\">AI action<\/a> which draws from a shared, account-level pool. For example, a sales rep categorizing a lead or an operations manager triggering sentiment analysis both draw from the same bucket.<\/p>\n<p>Credits are deducted each time someone triggers a metered AI action. These actions include:<\/p>\n<ul>\n<li>Running an AI automation block<\/li>\n<li>Sending a <a href=\"https:\/\/monday.com\/w\/sidekick\">monday sidekick<\/a> message<\/li>\n<li>Executing an AI agent run<\/li>\n<li>Transcribing a meeting with the AI Notetaker<\/li>\n<li>Making an AI call within a monday vibe app<\/li>\n<\/ul>\n<p><strong>Important<\/strong>: Not every AI feature costs credits. Many of the platform&#8217;s most useful AI capabilities are free, including the AI formula builder, AI-assisted updates, and the email generator in monday CRM.<\/p>\n<p>The credit system makes AI budgeting transparent and predictable, which goes some way to appeasing the <a href=\"https:\/\/www.deloitte.com\/us\/en\/insights\/topics\/business-strategy-growth\/2q-2026-cfo-signals-survey.html\">46% of CFOs<\/a> who cite cost uncertainty or lack of transparency as their biggest internal concern about AI, according to Deloitte&#8217;s Q2 2026 CFO Signals survey. With monday AI, you can plan, forecast, and scale AI adoption as your team grows.<\/p>\n<h3>How credits relate to AI token usage<\/h3>\n<p>If you&#8217;re familiar with token-based pricing from other AI providers, here&#8217;s how monday AI credits connect to underlying token consumption. Credits simplify budgeting into a single, predictable unit.<\/p>\n<p>One credit equals a fixed unit of AI processing, no matter how many tokens the underlying model uses. This means teams can budget using a single unit instead of calculating token counts or navigating model-specific pricing \u2014 a meaningful protection given that <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/the-price-reversal-phenomenon-when-cheaper-reasoning-models-end-up-costing-more\/\">in 21.8% of model-pair comparisons<\/a>, the cheaper listed model cost more in practice, sometimes by up to 28\u00d7, due to token consumption variability (Microsoft Research, 2026). The credit system turns technical consumption into a single, predictable number you can budget against.<\/p>\n\n<img width=\"1024\" height=\"646\" src=\"https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/AI-blocks_1-1-1024x646.png\" class=\"attachment-large size-large\" alt=\"\" loading=\"lazy\" decoding=\"async\" srcset=\"https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/AI-blocks_1-1-1024x646.png 1024w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/AI-blocks_1-1-300x189.png 300w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/AI-blocks_1-1-768x485.png 768w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/AI-blocks_1-1.png 1280w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/>\n<\/div>\n<div class=\"text-block\" id=\"text-block-4\">\n<h2 class=\"h2 text-block__title\">How many AI credits come with each monday AI Workspace plan?<\/h2>\n<p>AI credits come with paid monday AI Workspace subscriptions; there&#8217;s no separate AI add-on required to start using AI features. Know your baseline allocation so you can forecast whether your team&#8217;s planned <a href=\"https:\/\/monday.com\/blog\/productivity\/workflow\/\">workflows<\/a> fit within the included credits or need more.<\/p>\n<h3>Credits included on Basic, Standard, Pro, and Enterprise<\/h3>\n<p>Every paid plan includes a monthly allocation of AI credits. The pool grows as you move to higher tiers, which also unlocks more advanced AI features. The table below shows how credit allocations and feature access scale across plans.<\/p>\n\n<table id=\"tablepress-3785\" class=\"tablepress tablepress-id-3785\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\">Plan<\/th><th class=\"column-2\">Monthly AI credits<\/th><th class=\"column-3\">Key AI features unlocked<\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-striping row-hover\">\n<tr class=\"row-2\">\n\t<td class=\"column-1\">Basic<\/td><td class=\"column-2\">Limited starter allocation<\/td><td class=\"column-3\">Core AI features; no AI blocks or automations<\/td>\n<\/tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\">Standard<\/td><td class=\"column-2\">Moderate credit pool<\/td><td class=\"column-3\">AI blocks in columns and automations; sidekick lite (5 messages\/day per team member)<\/td>\n<\/tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\">Pro<\/td><td class=\"column-2\">Larger credit pool<\/td><td class=\"column-3\">Full AI blocks and automation library; sidekick lite; AI workflows<\/td>\n<\/tr>\n<tr class=\"row-5\">\n\t<td class=\"column-1\">Enterprise<\/td><td class=\"column-2\">Highest allocation with governance controls<\/td><td class=\"column-3\">All AI features; sidekick Plus (100 messages\/day per team member); advanced AI governance dashboard; custom agent capabilities<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<!-- #tablepress-3785 from cache -->\n<p><em>Exact credit numbers per plan may change. Check the <\/em><a href=\"https:\/\/monday.com\/pricing\"><em>monday.com pricing page<\/em><\/a><em> or help center for current allocations before you buy.<\/em><\/p>\n<h3>How credit allowances scale with your team<\/h3>\n<p>The credit pool is account-level, not per-person. Your entire organization shares one credit bucket regardless of how many people are on the account. As your team adds more seats, the total credit pool may increase based on your plan tier.<\/p>\n<p>This shared-pool model is especially practical\u00a0for cross-functional teams. A small <a href=\"https:\/\/monday.com\/blog\/marketing\/marketing-teams\/\">marketing team<\/a> shares the same credit bucket as other departments on the account, including operations, product, and customer success. Every department shares one AI budget, so teams work in parallel with the same access.<\/p>\n<p>A 5-person marketing team on a 50-seat account benefits from the full account-level credit pool. They can run AI agents, automate content categorization, and generate campaign insights with full access to the shared credit pool.<\/p>\n\n<img width=\"1024\" height=\"625\" src=\"https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/competitor-analysis-agent--1024x625.png\" class=\"attachment-large size-large\" alt=\"\" loading=\"lazy\" decoding=\"async\" srcset=\"https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/competitor-analysis-agent--1024x625.png 1024w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/competitor-analysis-agent--300x183.png 300w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/competitor-analysis-agent--768x469.png 768w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/competitor-analysis-agent-.png 1032w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/>\n<\/div>\n<div class=\"text-block\" id=\"text-block-5\">\n<h2 class=\"h2 text-block__title\">Which monday AI capabilities consume credits?<\/h2>\n<p>The monday AI Workspace is packed with different AI capabilities, each of which consume different amounts of credits per action. Know these rates so your team can forecast monthly usage accurately and allocate credits toward the actions that drive the most value.<\/p>\n\n<table id=\"tablepress-3786\" class=\"tablepress tablepress-id-3786\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\">AI feature\/action<\/th><th class=\"column-2\">Credits consumed per action<\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-striping row-hover\">\n<tr class=\"row-2\">\n\t<td class=\"column-1\">AI Sales Agent (calling, qualifying, summarizing)<\/td><td class=\"column-2\">Multiple credits per agent run (varies by action complexity)<\/td>\n<\/tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\">AI Lead Agent (prospecting, enrichment)<\/td><td class=\"column-2\">Multiple credits per agent run (varies by action complexity)<\/td>\n<\/tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\">AI blocks (categorize, summarize, extract, detect sentiment, translate, improve text, write, custom prompt)<\/td><td class=\"column-2\">Credits per AI block execution<\/td>\n<\/tr>\n<tr class=\"row-5\">\n\t<td class=\"column-1\">monday sidekick messages and actions<\/td><td class=\"column-2\">Credits per message or action<\/td>\n<\/tr>\n<tr class=\"row-6\">\n\t<td class=\"column-1\">monday agent runs (Lead Scorer, Risk Analyzer, Sentiment Detector, custom agents)<\/td><td class=\"column-2\">Credits per agent run<\/td>\n<\/tr>\n<tr class=\"row-7\">\n\t<td class=\"column-1\">AI Notetaker (meeting transcription and summaries)<\/td><td class=\"column-2\">Credits per transcription or summary<\/td>\n<\/tr>\n<tr class=\"row-8\">\n\t<td class=\"column-1\">AI workflows (multi-step automated processes with AI actions)<\/td><td class=\"column-2\">Credits per AI action within the workflow<\/td>\n<\/tr>\n<tr class=\"row-9\">\n\t<td class=\"column-1\">monday vibe AI calls (chatbot responses, AI-generated insights, web searches)<\/td><td class=\"column-2\">8 credits per AI call<\/td>\n<\/tr>\n<tr class=\"row-10\">\n\t<td class=\"column-1\">monday vibe integration triggers<\/td><td class=\"column-2\">2 credits per integration trigger<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<!-- #tablepress-3786 from cache -->\n<h3>AI blocks in columns, automations, and workflows<\/h3>\n<p><a href=\"https:\/\/support.monday.com\/hc\/en-us\/articles\/18433811274386-AI-blocks\">AI blocks<\/a> add AI to board columns and automations. They include actions like categorize, summarize, extract information, detect sentiment, translate, improve text, write with AI, and custom prompts. Each AI block execution consumes credits at a standard rate.<\/p>\n<p>AI blocks are available on Pro and Enterprise plans and can be triggered in two ways:<\/p>\n<ul>\n<li><strong>Manually:<\/strong> By clicking &#8220;Autofill with AI&#8221; on a column<\/li>\n<li><strong>Automatically:<\/strong> Through automations, where the block runs each time the automation triggers<\/li>\n<\/ul>\n<p>When used in automations, a high-volume board with frequent status changes will consume credits faster than a board with occasional updates.<\/p>\n\n<img width=\"1024\" height=\"646\" src=\"https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/AI-blocks_2-6-1024x646.png\" class=\"attachment-large size-large\" alt=\"\" loading=\"lazy\" decoding=\"async\" srcset=\"https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/AI-blocks_2-6-1024x646.png 1024w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/AI-blocks_2-6-300x189.png 300w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/AI-blocks_2-6-768x485.png 768w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/AI-blocks_2-6.png 1280w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/>\n<h3>monday sidekick messages and actions<\/h3>\n<p>monday sidekick is the platform&#8217;s built-in AI assistant that works at the account, board, and item level. Each message or action sent through Sidekick consumes credits. Consumption varies based on the complexity of the request. A simple question about <a href=\"https:\/\/support.monday.com\/hc\/en-us\/articles\/360001269685-The-Status-Column\">board status<\/a> uses fewer resources than a multi-step analysis with content generation.<\/p>\n<p>Sidekick availability depends on your tier:<\/p>\n<ul>\n<li><strong>Sidekick Lite<\/strong> (Standard and Pro plans): Up to 5 messages or actions per team member per day, working within a single workspace at a time.<\/li>\n<li><strong>Sidekick Plus<\/strong> (included with Enterprise; available to purchase for Standard and Pro): Up to 100 messages per team member per day with account-wide context.<\/li>\n<li><strong>Super Sidekick<\/strong> (available to purchase for Enterprise, Pro, and Standard): Up to 500 messages per team member per day with account-wide context.<\/li>\n<\/ul>\n\n<img width=\"1024\" height=\"647\" src=\"https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/01\/monday-sidekick-1024x647.png\" class=\"attachment-large size-large\" alt=\"\" loading=\"lazy\" decoding=\"async\" srcset=\"https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/01\/monday-sidekick-1024x647.png 1024w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/01\/monday-sidekick-300x190.png 300w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/01\/monday-sidekick-768x485.png 768w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/01\/monday-sidekick-1536x971.png 1536w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/01\/monday-sidekick.png 1720w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/>\n<h3>monday agents and autonomous agent runs<\/h3>\n<p>monday agents are autonomous AI agents that run workflows for team members. <a href=\"https:\/\/monday.com\/w\/ai-templates\/agents\/\">Ready-made agents<\/a> include the Lead Scorer, Risk Analyzer, Sentiment Detector, Vendor Researcher, Meeting Summarizer, and Ticket Assignment agent.<\/p>\n<p>You can also build <a href=\"https:\/\/monday.com\/blog\/ai-agents\/types-of-ai-agents\/\">custom agents<\/a> using the AI agent builder in 3 steps:<\/p>\n<ol>\n<li><strong>Describe the role and triggers:<\/strong> Define what the agent does and what activates it.<\/li>\n<li><strong>Connect relevant knowledge and integrations:<\/strong> Link the agent to the data sources and platforms it needs.<\/li>\n<li><strong>Test and refine:<\/strong> Run the agent in simulation mode before activating it.<\/li>\n<\/ol>\n<p>Each agent run consumes credits, and agent complexity affects total consumption. A Lead Scorer that evaluates fit, intent, and engagement signals across your funnel, for example, will consume more credits per run than a simple categorization agent, especially when it routes leads, schedules follow-ups, and alerts reps.<\/p>\n\n<img width=\"912\" height=\"591\" src=\"https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/lead-qualification-.png\" class=\"attachment-large size-large\" alt=\"\" loading=\"lazy\" decoding=\"async\" srcset=\"https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/lead-qualification-.png 912w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/lead-qualification--300x194.png 300w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/lead-qualification--768x498.png 768w\" sizes=\"auto, (max-width: 912px) 100vw, 912px\" \/>\n<h3>AI Notetaker for meeting transcription and summaries<\/h3>\n<p>The <a href=\"https:\/\/support.monday.com\/hc\/en-us\/articles\/28017211500434-monday-com-AI-Notetaker\">AI Notetaker<\/a> feature transcribes meetings and generates summaries and action items. Each transcription or summary action consumes credits. As an example, it can capture your sales team&#8217;s call notes and automatically extract follow-up items after prospect conversations.<\/p>\n<h3>AI workflows and active workflow limits by plan<\/h3>\n<p><a href=\"https:\/\/monday.com\/blog\/project-management\/ai-workflow-automation-14-tools-to-boost-team-productivity-and-scale-faster\/\">AI workflows<\/a> are multi-step automated processes with AI actions built in. Each AI action within a workflow consumes credits independently. A workflow with three AI steps (detect sentiment \u2192 categorize \u2192 summarize) consumes credits for each step every time it runs.<\/p>\n<p>Different plans have different limits on active AI workflows. Enterprise plans offer the highest capacity.<\/p>\n<h3>monday vibe app building and running<\/h3>\n<p><a href=\"https:\/\/monday.com\/w\/vibe\">monday vibe<\/a> is the platform&#8217;s AI-powered no-code app builder. It&#8217;s free to describe what you need in natural language, iterate through chat, and refine your app.<\/p>\n<p>When a Vibe app uses AI capabilities, each AI call within the app consumes 8 AI credits. When a Vibe app triggers an integration, it consumes 2 AI credits per integration trigger. Here&#8217;s what that looks like in practice:<\/p>\n<ul>\n<li><strong>Every chatbot answer<\/strong> generated by the app: 8 credits<\/li>\n<li><strong>Each generated post<\/strong> the app creates: 8 credits<\/li>\n<li><strong>Every dashboard refresh<\/strong> that reads board data: 8 credits<\/li>\n<li><strong>Each individual item update<\/strong> (regardless of whether multiple updates are made on the same item): 8 credits<\/li>\n<\/ul>\n<p>You can ask your Vibe app directly, &#8220;How many credits will this app consume?&#8221; to get a real-time estimate before committing to a workflow.<\/p>\n\n<img width=\"1000\" height=\"563\" src=\"https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/monday.com-w-vibe_1785678641_66a6196e.png\" class=\"attachment-large size-large\" alt=\"\" loading=\"lazy\" decoding=\"async\" srcset=\"https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/monday.com-w-vibe_1785678641_66a6196e.png 1000w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/monday.com-w-vibe_1785678641_66a6196e-300x169.png 300w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/monday.com-w-vibe_1785678641_66a6196e-768x432.png 768w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/>\n<\/div>\n<div class=\"text-block\" id=\"text-block-6\">\n<h2 class=\"h2 text-block__title\">Which monday AI Workspace features are free?<\/h2>\n<p>Many of the most valuable AI capabilities on monday AI Workspace cost zero credits. These features cover everyday writing, formula creation, and content assistance: the kinds of actions teams use dozens of times a day.<\/p>\n<h3>Platform-wide AI features that cost zero credits<\/h3>\n<p>Teams can experience AI value immediately with these free features.<\/p>\n<ul>\n<li><strong>AI-powered formula builder:<\/strong> Describe a formula objective in conversational language, such as &#8220;calculate the number of days between the start date and today,&#8221; and AI generates the formula for you without you needing to memorize syntax or look up function references.<\/li>\n<li><strong>AI updates creation and fast replies:<\/strong> Get AI-assisted writing and auto-reply in the updates section of any item. Draft a status update, respond to a teammate&#8217;s question, or summarize a thread, all with AI assistance.<\/li>\n<li><strong>AI in monday workdocs:<\/strong> Get AI-generated templates and content assistance within docs. Start a new doc and let AI generate a structured template \u2014 whether it&#8217;s a project brief, meeting agenda, or campaign plan.<\/li>\n<li><strong>Email generator in monday CRM:<\/strong> Get AI-assisted email drafting within CRM workflows. Write, edit, and refine outreach emails directly inside your CRM pipeline.<\/li>\n<li><strong>Summarize and rephrase:<\/strong> Get AI summarization of complex topics with action items. Focus on what matters. AI condenses lengthy updates, extracts key points, and highlights next steps.<\/li>\n<\/ul>\n<p><em>This list may change as new features are released. Check the complete free feature list in the current <\/em><a href=\"https:\/\/support.monday.com\/hc\/en-us\/articles\/24047211522194-AI-Feature-Catalog\"><em>AI Feature Catalog<\/em><\/a><em> in the monday.com help center.<\/em><\/p>\n<h3>Why monday MCP does not consume AI credits<\/h3>\n<p>monday MCP (Model Context Protocol) connects external AI assistants like Claude, ChatGPT, Cursor, and Microsoft Copilot Studio to your monday.com workspace. MCP is available on all monday.com plans for free and doesn&#8217;t consume AI credits.<\/p>\n<p>Although the MCP connection itself is free on the monday.com side, you may incur costs from the external AI assistant you connect through MCP. Those are billed separately by the provider (OpenAI, Anthropic, etc.). It&#8217;s important to account for this when you&#8217;re designing how agents, prompts, and connected assistants should work together. monday MCP expands AI access at zero credit cost, while monday agents handle execution optimized for work platform context.<\/p>\n\n<img width=\"1024\" height=\"489\" src=\"https:\/\/monday.com\/blog\/wp-content\/uploads\/2020\/11\/Screenshot-2026-06-07-at-12.34.32-1024x489.png\" class=\"attachment-large size-large\" alt=\"monday mcp\" loading=\"lazy\" decoding=\"async\" srcset=\"https:\/\/monday.com\/blog\/wp-content\/uploads\/2020\/11\/Screenshot-2026-06-07-at-12.34.32-1024x489.png 1024w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2020\/11\/Screenshot-2026-06-07-at-12.34.32-300x143.png 300w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2020\/11\/Screenshot-2026-06-07-at-12.34.32-768x367.png 768w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2020\/11\/Screenshot-2026-06-07-at-12.34.32-1536x734.png 1536w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2020\/11\/Screenshot-2026-06-07-at-12.34.32-2048x979.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/>\n<\/div>\n<div class=\"text-block\" id=\"text-block-7\">\n<h2 class=\"h2 text-block__title\">How much do AI credits cost on yearly and monthly plans?<\/h2>\n<p>Know the per-credit cost so you can plan spending accurately. The difference in per-credit rates can add up significantly for teams with consistent, high-volume AI workflows.<\/p>\n<h3>Per-credit pricing by billing cadence<\/h3>\n<p>The per-credit cost is <strong>$0.01 on yearly billing<\/strong> and <strong>$0.0125 on monthly billing<\/strong>. Yearly billing offers a 20% lower per-credit rate, which can meaningfully reduce costs for teams with consistent AI usage. For a team consuming 5,000 credits per month, that difference adds up to $75 saved annually.<\/p>\n<p><em>Currency pricing may vary. Reference the <a href=\"https:\/\/monday.com\/pricing\">monday.com pricing page<\/a> for current rates in your local currency.<\/em><\/p>\n\n<\/div>\n<div class=\"text-block\" id=\"text-block-8\">\n<h2 class=\"h2 text-block__title\">How to buy more AI credits<\/h2>\n<p>Additional AI credits are available to purchase in predefined buckets, not as individual credits. This bucket model means larger purchases come with a lower per-credit rate, rewarding teams that plan ahead.<\/p>\n<p><strong>Step 1: Access the Administration section.<\/strong> Account admins navigate to the Administration section of their monday.com account.<\/p>\n<p><strong>Step 2: Find the AI credits or billing section.<\/strong> Locate the AI credits or billing area within Administration.<\/p>\n<p><strong>Step 3: Select the right bucket size.<\/strong> Choose the bundle that fits your team&#8217;s projected usage. A smaller bucket works well for teams testing new AI workflows, while larger buckets offer improved per-credit economics for teams running daily AI automations and agent workflows.<\/p>\n<p>Teams with high-volume AI usage or specific requirements, such as enterprise-wide agent deployments or custom credit allocations across business units, can contact monday.com directly for tailored options.<\/p>\n<a class=\"cta-button blue-button\" aria-label=\"Get started\" href=\"https:\/\/auth.monday.com\/users\/sign_up_new\" target=\"_blank\">Get started<\/a>\n\n<\/div>\n<div class=\"text-block\" id=\"text-block-9\">\n<h2 class=\"h2 text-block__title\">How to estimate AI credit usage for your team<\/h2>\n<p>Estimating credit usage depends on 3 variables: team size, which AI features the team uses daily, and how frequently those features run. The scenarios below show how different team profiles translate into monthly credit consumption.<\/p>\n<h3>Scenario 1: A small project team with occasional AI usage<\/h3>\n<p>A 3-person project team on monday AI Workspace uses AI blocks to categorize incoming tasks twice per week and runs AI-assisted update drafting (free, zero credits) a few times daily. They occasionally use monday sidekick to summarize project status.<\/p>\n\n<table id=\"tablepress-3787\" class=\"tablepress tablepress-id-3787\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\">Feature used<\/th><th class=\"column-2\">Credits per action<\/th><th class=\"column-3\">Frequency per month<\/th><th class=\"column-4\">Subtotal<\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-striping row-hover\">\n<tr class=\"row-2\">\n\t<td class=\"column-1\">AI block: Categorize tasks<\/td><td class=\"column-2\">Standard rate per execution<\/td><td class=\"column-3\">~24 executions (8 per team member \u00d7 3 members)<\/td><td class=\"column-4\">~24 \u00d7 credit rate<\/td>\n<\/tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\">monday sidekick messages<\/td><td class=\"column-2\">Standard rate per message<\/td><td class=\"column-3\">~40 messages (occasional use)<\/td><td class=\"column-4\">~40 \u00d7 credit rate<\/td>\n<\/tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\">AI updates creation (free)<\/td><td class=\"column-2\">0<\/td><td class=\"column-3\">Daily use<\/td><td class=\"column-4\">0<\/td>\n<\/tr>\n<tr class=\"row-5\">\n\t<td class=\"column-1\">Estimated monthly total<\/td><td class=\"column-2\"><\/td><td class=\"column-3\"><\/td><td class=\"column-4\">~800\u20131,200 credits<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<!-- #tablepress-3787 from cache -->\n<p>A typical 3-person team uses approximately 800\u20131,200 credits per month as a baseline, which aligns with this usage pattern.<\/p>\n<h3>Scenario 2: A mid-size team running daily AI workflows<\/h3>\n<p>A 10-person operations team runs automated AI workflows for sentiment detection on stakeholder feedback (daily), AI-powered status reports (weekly), and meeting summaries through the AI Notetaker (3 meetings per week).<\/p>\n\n<table id=\"tablepress-3788\" class=\"tablepress tablepress-id-3788\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\">Feature used<\/th><th class=\"column-2\">Credits per action<\/th><th class=\"column-3\">Frequency per month<\/th><th class=\"column-4\">Subtotal<\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-striping row-hover\">\n<tr class=\"row-2\">\n\t<td class=\"column-1\">AI workflow: Sentiment detection<\/td><td class=\"column-2\">Credits per AI action in workflow<\/td><td class=\"column-3\">~200 items\/month<\/td><td class=\"column-4\">200 \u00d7 credit rate<\/td>\n<\/tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\">AI workflow: Status report generation<\/td><td class=\"column-2\">Credits per AI action<\/td><td class=\"column-3\">~4 reports\/month<\/td><td class=\"column-4\">4 \u00d7 credit rate<\/td>\n<\/tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\">AI Notetaker: Meeting summaries<\/td><td class=\"column-2\">Credits per transcription<\/td><td class=\"column-3\">~12 meetings\/month<\/td><td class=\"column-4\">12 \u00d7 credit rate<\/td>\n<\/tr>\n<tr class=\"row-5\">\n\t<td class=\"column-1\">monday sidekick messages<\/td><td class=\"column-2\">Standard rate per message<\/td><td class=\"column-3\">~300 messages\/month<\/td><td class=\"column-4\">300 \u00d7 credit rate<\/td>\n<\/tr>\n<tr class=\"row-6\">\n\t<td class=\"column-1\">Estimated monthly total<\/td><td class=\"column-2\"><\/td><td class=\"column-3\"><\/td><td class=\"column-4\">~3,000\u20135,000 credits<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<!-- #tablepress-3788 from cache -->\n<p>Daily automated workflows consume credits at a higher rate than occasional manual usage because they trigger on every qualifying event without human intervention.<\/p>\n<h3>Scenario 3: A project management team using the Risk Analyzer and Meeting Summarizer agents<\/h3>\n<p>A 5-person project management team on monday AI Workspace uses the Risk Analyzer agent for automated risk detection and mitigation, plus the Meeting Summarizer agent for capturing action items and decisions. These agents run autonomously throughout the workday.<\/p>\n\n<table id=\"tablepress-3789\" class=\"tablepress tablepress-id-3789\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\">Feature used<\/th><th class=\"column-2\">Credits per action<\/th><th class=\"column-3\">Frequency per month<\/th><th class=\"column-4\">Subtotal<\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-striping row-hover\">\n<tr class=\"row-2\">\n\t<td class=\"column-1\">Risk Analyzer agent runs<\/td><td class=\"column-2\">Multi-credit per run<\/td><td class=\"column-3\">~200 agent runs\/month<\/td><td class=\"column-4\">200 \u00d7 multi-credit rate<\/td>\n<\/tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\">Meeting Summarizer agent runs<\/td><td class=\"column-2\">Multi-credit per run<\/td><td class=\"column-3\">~150 agent runs\/month<\/td><td class=\"column-4\">150 \u00d7 multi-credit rate<\/td>\n<\/tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\">AI blocks for task categorization<\/td><td class=\"column-2\">Standard rate<\/td><td class=\"column-3\">~100 executions\/month<\/td><td class=\"column-4\">100 \u00d7 credit rate<\/td>\n<\/tr>\n<tr class=\"row-5\">\n\t<td class=\"column-1\">AI updates creation (free)<\/td><td class=\"column-2\">0<\/td><td class=\"column-3\">Daily use<\/td><td class=\"column-4\">0<\/td>\n<\/tr>\n<tr class=\"row-6\">\n\t<td class=\"column-1\">monday sidekick messages<\/td><td class=\"column-2\">Standard rate per message<\/td><td class=\"column-3\">~250 messages\/month<\/td><td class=\"column-4\">250 \u00d7 credit rate<\/td>\n<\/tr>\n<tr class=\"row-7\">\n\t<td class=\"column-1\">Estimated monthly total<\/td><td class=\"column-2\"><\/td><td class=\"column-3\"><\/td><td class=\"column-4\">~5,000\u20138,000 credits<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<!-- #tablepress-3789 from cache -->\n<p>Agent-driven workflows represent a higher credit investment, but they directly identify project risks and capture critical decisions. This makes the credit spend a measurable input to project success and team efficiency rather than an abstract cost.<\/p>\n\n<\/div>\n<div class=\"text-block\" id=\"text-block-10\">\n<h2 class=\"h2 text-block__title\">Why different AI actions use different credit amounts<\/h2>\n<p>Credit costs vary because different AI actions require different levels of computational resources. Understanding this relationship helps teams make informed decisions about which models to use for different workflows.<\/p>\n<h3>How complexity and AI model selection affect consumption<\/h3>\n<p>A simple text categorization \u2014 where AI reads a short text field and selects from a predefined list of labels \u2014 uses far fewer resources than a complex multi-step agent run that involves web research, data analysis across multiple boards, and content generation.<\/p>\n<p>Think of it like different types of phone calls: a local call costs less than an international call with translation services. The underlying infrastructure required to complete the action determines the cost.<\/p>\n<p>The platform uses multiple AI model providers to power different features, including:<\/p>\n<ul>\n<li><strong>Microsoft Azure OpenAI<\/strong><\/li>\n<li><strong>AWS Bedrock<\/strong> (Mistral, Anthropic)<\/li>\n<li><strong>OpenAI&#8217;s GPT models<\/strong><\/li>\n<\/ul>\n<p>Each model has a different cost and capability profile. A lightweight model optimized for categorization costs less to run than a large language model designed for nuanced content generation.<\/p>\n<h3>Choosing the right model for cost and quality<\/h3>\n<p>An AI model picker allows team members to select which AI model powers certain actions. This gives teams a direct cost-efficiency lever:<\/p>\n<ul>\n<li><strong>For routine actions<\/strong> (simple categorization, sentiment detection): Choose a lighter, less expensive model.<\/li>\n<li><strong>For complex actions<\/strong> (detailed content generation, multi-step analysis, nuanced lead qualification): Reserve more capable models where the output quality justifies the cost.<\/li>\n<\/ul>\n\n<img width=\"950\" height=\"540\" src=\"https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/companion-agent-.png\" class=\"attachment-large size-large\" alt=\"\" loading=\"lazy\" decoding=\"async\" srcset=\"https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/companion-agent-.png 950w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/companion-agent--300x171.png 300w, https:\/\/monday.com\/blog\/wp-content\/uploads\/2026\/08\/companion-agent--768x437.png 768w\" sizes=\"auto, (max-width: 950px) 100vw, 950px\" \/>\n<\/div>\n<div class=\"text-block\" id=\"text-block-11\">\n<h2 class=\"h2 text-block__title\">How to track and control AI credit usage<\/h2>\n<p>Visibility into AI credit consumption is essential for <a href=\"https:\/\/monday.com\/templates\/budget-tracker\">budget planning<\/a> and scaling AI adoption with confidence. The governance dashboard provides the data foundation for treating AI credits as a managed cost center, giving finance and operations leaders the same visibility into AI spend they have into other operational costs.<\/p>\n<h3>Use the AI governance dashboard to monitor consumption<\/h3>\n<p>Navigate to <strong>Administration \u2192 AI governance \u2192 Credits<\/strong>. The dashboard shows:<\/p>\n<ul>\n<li>Total credits used<\/li>\n<li>Credits remaining<\/li>\n<li>Usage by feature<\/li>\n<li>Usage by person or team<\/li>\n<\/ul>\n<h3>Set automated alerts at 80% and 100% usage<\/h3>\n<p>Admins can configure automatic notifications that trigger at 2 thresholds:<\/p>\n<ul>\n<li><strong>At 80% usage:<\/strong> Admins receive a notification with enough lead time to evaluate options. You can purchase additional credits, adjust usage patterns, or simply continue knowing the remaining 20% will cover the rest of the billing cycle.<\/li>\n<li><strong>At 100% usage:<\/strong> Credit-consuming AI features are temporarily restricted, but free AI features continue to work normally. Admins can restore full access by purchasing an additional credit bucket or waiting for the next billing cycle reset.<\/li>\n<\/ul>\n<p>Your team retains access to the most-used AI capabilities even when credits are exhausted, and the system provides advance warning before you reach the limit.<\/p>\n<h3>Export usage data for team-level reporting and budgeting<\/h3>\n<p>Usage data can be exported for external analysis. This enables teams to:<\/p>\n<ul>\n<li>Build monthly or quarterly AI usage reports<\/li>\n<li>Allocate AI costs to specific departments (for example, attributing Sales Agent credits to the sales team&#8217;s budget)<\/li>\n<li>Forecast future credit needs based on historical consumption patterns<\/li>\n<\/ul>\n<p>Organizations that treat AI credits as a managed cost center, rather than an unmonitored expense, are positioned to scale AI adoption confidently. The governance dashboard provides the data foundation for that discipline.<\/p>\n\n<\/div>\n<div class=\"text-block\" id=\"text-block-12\">\n<h2 class=\"h2 text-block__title\">How governance enables confident AI scaling<\/h2>\n<p>Credit visibility is part of a broader governance framework that separates controlled <a href=\"https:\/\/monday.com\/blog\/ai-agents\/ai-adoption-strategy\/\">AI adoption<\/a> from unmanaged AI sprawl. Organizations that succeed with AI at scale treat governance as a strategic advantage, not an administrative burden.<\/p>\n<p>monday AI Workspace provides full visibility, permissions, and oversight embedded directly into everyday work. AI operates transparently within the guardrails teams already rely on.<\/p>\n<p>The governance framework includes several key components:<\/p>\n<ul>\n<li><strong>Control:<\/strong> Explicitly decide what agents can and cannot do, both inside monday and across external integrations.<\/li>\n<li><strong>Permissions:<\/strong> Define exactly which data agents can access, and whether they have permission to edit, create, or only read information.<\/li>\n<li><strong>Human in the loop:<\/strong> Validate agent actions before activating them with simulation mode.<\/li>\n<li><strong>Compliance:<\/strong> monday is HIPAA compliant, as well as holds ISO\/IEC 27001, SOC 2 Type II, and ISO\/IEC 27701 certifications.<\/li>\n<li><strong>Content ownership and data rights:<\/strong> You retain ownership of the content you provide and the content generated by AI. monday.com does not allow third parties to train on your data.<\/li>\n<\/ul>\n<p>This governance framework encourages organizations to scale AI with control. Only <a href=\"https:\/\/www.deloitte.com\/us\/en\/insights\/topics\/emerging-technologies\/ai-agents-scaling-faster.html\">21% of enterprises report having &#8220;mature governance&#8221;<\/a> in place to manage the risks of agentic AI, according to Deloitte&#8217;s 2026 survey of 3,235 IT and business leaders. The ability to monitor usage by team, workflow, and model is essential for building internal business cases and maintaining stakeholder confidence in activating agents as part of their lineup.<\/p>\n\n<\/div>\n<div class=\"text-block\" id=\"text-block-13\">\n<h2 class=\"h2 text-block__title\">Unlock infinite potential with monday AI credits<\/h2>\n<p>AI credits as part of the monday AI Workspace give teams transparent costs and full visibility into every AI action cost. Start with free AI features to build confidence, then scale credit usage toward the autonomous agents that deliver the strongest pipeline results.<\/p>\n<p>The shared credit pool means AI works across every department without siloed budgets, and the governance dashboard keeps spend predictable as you scale.<\/p>\n<a class=\"cta-button blue-button\" aria-label=\"Get started\" href=\"https:\/\/auth.monday.com\/users\/sign_up_new\" target=\"_blank\">Get started<\/a>\n<div class=\"accordion faq\" id=\"faq-frequently-asked-questions-about-monday-ai-credits\">\n  <h2 class=\"accordion__heading section-title text-left\">Frequently asked questions about monday AI credits<\/h2>\n    <div class=\"accordion__item\">\n    <a class=\"accordion__button d-block\" data-toggle=\"collapse\" data-parent=\"#faq-frequently-asked-questions-about-monday-ai-credits\" href=\"#q-frequently-asked-questions-about-monday-ai-credits-1\" aria-expanded=\"false\">\n      <h3 class=\"accordion__question\">Are AI credits shared across the entire monday.com account or assigned per person?        \n          \n        \n      <\/h3>\n    <\/a>\n    <div id=\"q-frequently-asked-questions-about-monday-ai-credits-1\" class=\"accordion__answer collapse collapse--md\" data-parent=\"#faq-frequently-asked-questions-about-monday-ai-credits\">\n      <p>AI credits are pooled at the account level and shared across all team members. They aren't allocated individually, which means any team member with AI permissions can use credits from the shared pool.<\/p>\n    <\/div>\n  <\/div>\n    <div class=\"accordion__item\">\n    <a class=\"accordion__button d-block\" data-toggle=\"collapse\" data-parent=\"#faq-frequently-asked-questions-about-monday-ai-credits\" href=\"#q-frequently-asked-questions-about-monday-ai-credits-2\" aria-expanded=\"false\">\n      <h3 class=\"accordion__question\">Can I try monday AI features before purchasing a paid plan?        \n          \n        \n      <\/h3>\n    <\/a>\n    <div id=\"q-frequently-asked-questions-about-monday-ai-credits-2\" class=\"accordion__answer collapse collapse--md\" data-parent=\"#faq-frequently-asked-questions-about-monday-ai-credits\">\n      <p>Every monday.com account receives a starter allocation of free AI credits to explore AI capabilities, and many AI features are available at no credit cost on all plans, allowing teams to experience AI value before committing to a paid tier.<\/p>\n    <\/div>\n  <\/div>\n    <div class=\"accordion__item\">\n    <a class=\"accordion__button d-block\" data-toggle=\"collapse\" data-parent=\"#faq-frequently-asked-questions-about-monday-ai-credits\" href=\"#q-frequently-asked-questions-about-monday-ai-credits-3\" aria-expanded=\"false\">\n      <h3 class=\"accordion__question\">Does monday.com use customer data to train AI models?        \n          \n        \n      <\/h3>\n    <\/a>\n    <div id=\"q-frequently-asked-questions-about-monday-ai-credits-3\" class=\"accordion__answer collapse collapse--md\" data-parent=\"#faq-frequently-asked-questions-about-monday-ai-credits\">\n      <p>No, our platform doesn't use customer data or content to train its AI models and doesn't allow third parties to do so. Full details are available in the monday.com <a href=\"https:\/\/monday.com\/w\/ai-trust-center\">AI Trust Center<\/a>.<\/p>\n    <\/div>\n  <\/div>\n    <div class=\"accordion__item\">\n    <a class=\"accordion__button d-block\" data-toggle=\"collapse\" data-parent=\"#faq-frequently-asked-questions-about-monday-ai-credits\" href=\"#q-frequently-asked-questions-about-monday-ai-credits-4\" aria-expanded=\"false\">\n      <h3 class=\"accordion__question\">How do AI credits work with external agents connected through monday MCP?        \n          \n        \n      <\/h3>\n    <\/a>\n    <div id=\"q-frequently-asked-questions-about-monday-ai-credits-4\" class=\"accordion__answer collapse collapse--md\" data-parent=\"#faq-frequently-asked-questions-about-monday-ai-credits\">\n      <p><a href=\"https:\/\/monday.com\/w\/mcp\">monday MCP<\/a> itself doesn't consume AI credits, but any AI actions triggered within the monday.com platform as a result of MCP-connected agent activity consume credits according to the standard rates. Costs from the external AI assistant (such as Claude or ChatGPT) are billed separately by that provider.<\/p>\n    <\/div>\n  <\/div>\n  {\n    \"@context\": \"https:\\\/\\\/schema.org\",\n    \"@type\": \"FAQPage\",\n    \"mainEntity\": [\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Are AI credits shared across the entire monday.com account or assigned per person?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"<p>AI credits are pooled at the account level and shared across all team members. They aren't allocated individually, which means any team member with AI permissions can use credits from the shared pool.\\n\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Can I try monday AI features before purchasing a paid plan?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"<p>Every monday.com account receives a starter allocation of free AI credits to explore AI capabilities, and many AI features are available at no credit cost on all plans, allowing teams to experience AI value before committing to a paid tier.\\n\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Does monday.com use customer data to train AI models?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"<p>No, our platform doesn't use customer data or content to train its AI models and doesn't allow third parties to do so. Full details are available in the monday.com <a href=\"https:\\\/\\\/monday.com\\\/w\\\/ai-trust-center\">AI Trust Center.\\n\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"How do AI credits work with external agents connected through monday MCP?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"<p><a href=\"https:\\\/\\\/monday.com\\\/w\\\/mcp\">monday MCP itself doesn't consume AI credits, but any AI actions triggered within the monday.com platform as a result of MCP-connected agent activity consume credits according to the standard rates. Costs from the external AI assistant (such as Claude or ChatGPT) are billed separately by that provider.\\n\"\n            }\n        }\n    ]\n}<\/div>\n\n\n<\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":219,"featured_media":359495,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"pages\/cornerstone-primary.php","format":"standard","meta":{"_acf_changed":false,"monday_item_id":0,"monday_board_id":0,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[14080],"tags":[],"class_list":["post-359492","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-agents"],"acf":{"sections":[{"acf_fc_layout":"content_1","blocks":[{"main_heading":"","content_block":[{"acf_fc_layout":"text","content":"<p>Anyone using AI in their work needs it available whenever they reach for it. monday AI credits make that possible by turning AI usage into something you can see and plan for.<\/p>\n<p>Credits work like a phone plan: your subscription includes an allocation where each AI action deducts a known amount, and you can check your balance anytime. This guide covers how monday AI credits work in more detail. You&#8217;ll learn how many come with each plan, which features consume them, and how to estimate what your team needs.<\/p>\n<a class=\"cta-button blue-button\" aria-label=\"Get started\" href=\"https:\/\/auth.monday.com\/users\/sign_up_new\" target=\"_blank\">Get started<\/a>\n"}]},{"main_heading":"Key takeaways","content_block":[{"acf_fc_layout":"text","content":"<ul>\n<li><strong>Your AI credit balance is shared:<\/strong> every team member draws from one account-level pool, so sales, marketing, and ops can all use AI without managing separate budgets.<\/li>\n<li><strong>Many powerful AI features cost zero credits:<\/strong> the email generator, formula builder, and AI-assisted updates are free \u2014 start there before spending credits on heavier actions.<\/li>\n<li><strong>monday agents handle the work so your team can focus on higher-value activities:<\/strong> the AI Sales Agent calls and qualifies leads autonomously, while the Lead Agent continuously fills your pipeline with enriched prospects, all tracked against real revenue outcomes.<\/li>\n<li><strong>Credit costs scale with complexity, and you control that:<\/strong> routine actions like categorization cost less than multi-step agent runs \u2014 choosing the right model for each workflow keeps your budget focused on what matters.<\/li>\n<li><strong>The governance dashboard turns AI spend into a managed cost:<\/strong> track usage by person or team, set alerts at 80% and 100%, and export data for budget reporting.<\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image_type":"normal","image":351822,"image_link":""}]},{"main_heading":"What are monday AI credits?","content_block":[{"acf_fc_layout":"text","content":"<p>A monday AI credit is the unit that measures AI usage across the monday AI Workspace. Think of credits like prepaid minutes on a phone plan. You get an allocation with your subscription and each AI action you take deducts a known amount. This makes it easy to monitor usage, so you can top up your AI credits whenever you need them.<\/p>\n<p>Each credit represents one metered <a href=\"https:\/\/monday.com\/blog\/ai-agents\/how-ai-works\/\">AI action<\/a> which draws from a shared, account-level pool. For example, a sales rep categorizing a lead or an operations manager triggering sentiment analysis both draw from the same bucket.<\/p>\n<p>Credits are deducted each time someone triggers a metered AI action. These actions include:<\/p>\n<ul>\n<li>Running an AI automation block<\/li>\n<li>Sending a <a href=\"https:\/\/monday.com\/w\/sidekick\">monday sidekick<\/a> message<\/li>\n<li>Executing an AI agent run<\/li>\n<li>Transcribing a meeting with the AI Notetaker<\/li>\n<li>Making an AI call within a monday vibe app<\/li>\n<\/ul>\n<p><strong>Important<\/strong>: Not every AI feature costs credits. Many of the platform&#8217;s most useful AI capabilities are free, including the AI formula builder, AI-assisted updates, and the email generator in monday CRM.<\/p>\n<p>The credit system makes AI budgeting transparent and predictable, which goes some way to appeasing the <a href=\"https:\/\/www.deloitte.com\/us\/en\/insights\/topics\/business-strategy-growth\/2q-2026-cfo-signals-survey.html\">46% of CFOs<\/a> who cite cost uncertainty or lack of transparency as their biggest internal concern about AI, according to Deloitte&#8217;s Q2 2026 CFO Signals survey. With monday AI, you can plan, forecast, and scale AI adoption as your team grows.<\/p>\n<h3>How credits relate to AI token usage<\/h3>\n<p>If you&#8217;re familiar with token-based pricing from other AI providers, here&#8217;s how monday AI credits connect to underlying token consumption. Credits simplify budgeting into a single, predictable unit.<\/p>\n<p>One credit equals a fixed unit of AI processing, no matter how many tokens the underlying model uses. This means teams can budget using a single unit instead of calculating token counts or navigating model-specific pricing \u2014 a meaningful protection given that <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/publication\/the-price-reversal-phenomenon-when-cheaper-reasoning-models-end-up-costing-more\/\">in 21.8% of model-pair comparisons<\/a>, the cheaper listed model cost more in practice, sometimes by up to 28\u00d7, due to token consumption variability (Microsoft Research, 2026). The credit system turns technical consumption into a single, predictable number you can budget against.<\/p>\n"},{"acf_fc_layout":"image","image_type":"normal","image":358073,"image_link":""}]},{"main_heading":"How many AI credits come with each monday AI Workspace plan?","content_block":[{"acf_fc_layout":"text","content":"<p>AI credits come with paid monday AI Workspace subscriptions; there&#8217;s no separate AI add-on required to start using AI features. Know your baseline allocation so you can forecast whether your team&#8217;s planned <a href=\"https:\/\/monday.com\/blog\/productivity\/workflow\/\">workflows<\/a> fit within the included credits or need more.<\/p>\n<h3>Credits included on Basic, Standard, Pro, and Enterprise<\/h3>\n<p>Every paid plan includes a monthly allocation of AI credits. The pool grows as you move to higher tiers, which also unlocks more advanced AI features. The table below shows how credit allocations and feature access scale across plans.<\/p>\n\n<table id=\"tablepress-3785\" class=\"tablepress tablepress-id-3785\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\">Plan<\/th><th class=\"column-2\">Monthly AI credits<\/th><th class=\"column-3\">Key AI features unlocked<\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-striping row-hover\">\n<tr class=\"row-2\">\n\t<td class=\"column-1\">Basic<\/td><td class=\"column-2\">Limited starter allocation<\/td><td class=\"column-3\">Core AI features; no AI blocks or automations<\/td>\n<\/tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\">Standard<\/td><td class=\"column-2\">Moderate credit pool<\/td><td class=\"column-3\">AI blocks in columns and automations; sidekick lite (5 messages\/day per team member)<\/td>\n<\/tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\">Pro<\/td><td class=\"column-2\">Larger credit pool<\/td><td class=\"column-3\">Full AI blocks and automation library; sidekick lite; AI workflows<\/td>\n<\/tr>\n<tr class=\"row-5\">\n\t<td class=\"column-1\">Enterprise<\/td><td class=\"column-2\">Highest allocation with governance controls<\/td><td class=\"column-3\">All AI features; sidekick Plus (100 messages\/day per team member); advanced AI governance dashboard; custom agent capabilities<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<!-- #tablepress-3785 from cache -->\n<p><em>Exact credit numbers per plan may change. Check the <\/em><a href=\"https:\/\/monday.com\/pricing\"><em>monday.com pricing page<\/em><\/a><em> or help center for current allocations before you buy.<\/em><\/p>\n<h3>How credit allowances scale with your team<\/h3>\n<p>The credit pool is account-level, not per-person. Your entire organization shares one credit bucket regardless of how many people are on the account. As your team adds more seats, the total credit pool may increase based on your plan tier.<\/p>\n<p>This shared-pool model is especially practical\u00a0for cross-functional teams. A small <a href=\"https:\/\/monday.com\/blog\/marketing\/marketing-teams\/\">marketing team<\/a> shares the same credit bucket as other departments on the account, including operations, product, and customer success. Every department shares one AI budget, so teams work in parallel with the same access.<\/p>\n<p>A 5-person marketing team on a 50-seat account benefits from the full account-level credit pool. They can run AI agents, automate content categorization, and generate campaign insights with full access to the shared credit pool.<\/p>\n"},{"acf_fc_layout":"image","image_type":"normal","image":359503,"image_link":""}]},{"main_heading":"Which monday AI capabilities consume credits?","content_block":[{"acf_fc_layout":"text","content":"<p>The monday AI Workspace is packed with different AI capabilities, each of which consume different amounts of credits per action. Know these rates so your team can forecast monthly usage accurately and allocate credits toward the actions that drive the most value.<\/p>\n\n<table id=\"tablepress-3786\" class=\"tablepress tablepress-id-3786\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\">AI feature\/action<\/th><th class=\"column-2\">Credits consumed per action<\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-striping row-hover\">\n<tr class=\"row-2\">\n\t<td class=\"column-1\">AI Sales Agent (calling, qualifying, summarizing)<\/td><td class=\"column-2\">Multiple credits per agent run (varies by action complexity)<\/td>\n<\/tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\">AI Lead Agent (prospecting, enrichment)<\/td><td class=\"column-2\">Multiple credits per agent run (varies by action complexity)<\/td>\n<\/tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\">AI blocks (categorize, summarize, extract, detect sentiment, translate, improve text, write, custom prompt)<\/td><td class=\"column-2\">Credits per AI block execution<\/td>\n<\/tr>\n<tr class=\"row-5\">\n\t<td class=\"column-1\">monday sidekick messages and actions<\/td><td class=\"column-2\">Credits per message or action<\/td>\n<\/tr>\n<tr class=\"row-6\">\n\t<td class=\"column-1\">monday agent runs (Lead Scorer, Risk Analyzer, Sentiment Detector, custom agents)<\/td><td class=\"column-2\">Credits per agent run<\/td>\n<\/tr>\n<tr class=\"row-7\">\n\t<td class=\"column-1\">AI Notetaker (meeting transcription and summaries)<\/td><td class=\"column-2\">Credits per transcription or summary<\/td>\n<\/tr>\n<tr class=\"row-8\">\n\t<td class=\"column-1\">AI workflows (multi-step automated processes with AI actions)<\/td><td class=\"column-2\">Credits per AI action within the workflow<\/td>\n<\/tr>\n<tr class=\"row-9\">\n\t<td class=\"column-1\">monday vibe AI calls (chatbot responses, AI-generated insights, web searches)<\/td><td class=\"column-2\">8 credits per AI call<\/td>\n<\/tr>\n<tr class=\"row-10\">\n\t<td class=\"column-1\">monday vibe integration triggers<\/td><td class=\"column-2\">2 credits per integration trigger<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<!-- #tablepress-3786 from cache -->\n<h3>AI blocks in columns, automations, and workflows<\/h3>\n<p><a href=\"https:\/\/support.monday.com\/hc\/en-us\/articles\/18433811274386-AI-blocks\">AI blocks<\/a> add AI to board columns and automations. They include actions like categorize, summarize, extract information, detect sentiment, translate, improve text, write with AI, and custom prompts. Each AI block execution consumes credits at a standard rate.<\/p>\n<p>AI blocks are available on Pro and Enterprise plans and can be triggered in two ways:<\/p>\n<ul>\n<li><strong>Manually:<\/strong> By clicking &#8220;Autofill with AI&#8221; on a column<\/li>\n<li><strong>Automatically:<\/strong> Through automations, where the block runs each time the automation triggers<\/li>\n<\/ul>\n<p>When used in automations, a high-volume board with frequent status changes will consume credits faster than a board with occasional updates.<\/p>\n"},{"acf_fc_layout":"image","image_type":"normal","image":356478,"image_link":""},{"acf_fc_layout":"text","content":"<h3>monday sidekick messages and actions<\/h3>\n<p>monday sidekick is the platform&#8217;s built-in AI assistant that works at the account, board, and item level. Each message or action sent through Sidekick consumes credits. Consumption varies based on the complexity of the request. A simple question about <a href=\"https:\/\/support.monday.com\/hc\/en-us\/articles\/360001269685-The-Status-Column\">board status<\/a> uses fewer resources than a multi-step analysis with content generation.<\/p>\n<p>Sidekick availability depends on your tier:<\/p>\n<ul>\n<li><strong>Sidekick Lite<\/strong> (Standard and Pro plans): Up to 5 messages or actions per team member per day, working within a single workspace at a time.<\/li>\n<li><strong>Sidekick Plus<\/strong> (included with Enterprise; available to purchase for Standard and Pro): Up to 100 messages per team member per day with account-wide context.<\/li>\n<li><strong>Super Sidekick<\/strong> (available to purchase for Enterprise, Pro, and Standard): Up to 500 messages per team member per day with account-wide context.<\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image_type":"normal","image":285843,"image_link":""},{"acf_fc_layout":"text","content":"<h3>monday agents and autonomous agent runs<\/h3>\n<p>monday agents are autonomous AI agents that run workflows for team members. <a href=\"https:\/\/monday.com\/w\/ai-templates\/agents\/\">Ready-made agents<\/a> include the Lead Scorer, Risk Analyzer, Sentiment Detector, Vendor Researcher, Meeting Summarizer, and Ticket Assignment agent.<\/p>\n<p>You can also build <a href=\"https:\/\/monday.com\/blog\/ai-agents\/types-of-ai-agents\/\">custom agents<\/a> using the AI agent builder in 3 steps:<\/p>\n<ol>\n<li><strong>Describe the role and triggers:<\/strong> Define what the agent does and what activates it.<\/li>\n<li><strong>Connect relevant knowledge and integrations:<\/strong> Link the agent to the data sources and platforms it needs.<\/li>\n<li><strong>Test and refine:<\/strong> Run the agent in simulation mode before activating it.<\/li>\n<\/ol>\n<p>Each agent run consumes credits, and agent complexity affects total consumption. A Lead Scorer that evaluates fit, intent, and engagement signals across your funnel, for example, will consume more credits per run than a simple categorization agent, especially when it routes leads, schedules follow-ups, and alerts reps.<\/p>\n"},{"acf_fc_layout":"image","image_type":"normal","image":359511,"image_link":""},{"acf_fc_layout":"text","content":"<h3>AI Notetaker for meeting transcription and summaries<\/h3>\n<p>The <a href=\"https:\/\/support.monday.com\/hc\/en-us\/articles\/28017211500434-monday-com-AI-Notetaker\">AI Notetaker<\/a> feature transcribes meetings and generates summaries and action items. Each transcription or summary action consumes credits. As an example, it can capture your sales team&#8217;s call notes and automatically extract follow-up items after prospect conversations.<\/p>\n<h3>AI workflows and active workflow limits by plan<\/h3>\n<p><a href=\"https:\/\/monday.com\/blog\/project-management\/ai-workflow-automation-14-tools-to-boost-team-productivity-and-scale-faster\/\">AI workflows<\/a> are multi-step automated processes with AI actions built in. Each AI action within a workflow consumes credits independently. A workflow with three AI steps (detect sentiment \u2192 categorize \u2192 summarize) consumes credits for each step every time it runs.<\/p>\n<p>Different plans have different limits on active AI workflows. Enterprise plans offer the highest capacity.<\/p>\n<h3>monday vibe app building and running<\/h3>\n<p><a href=\"https:\/\/monday.com\/w\/vibe\">monday vibe<\/a> is the platform&#8217;s AI-powered no-code app builder. It&#8217;s free to describe what you need in natural language, iterate through chat, and refine your app.<\/p>\n<p>When a Vibe app uses AI capabilities, each AI call within the app consumes 8 AI credits. When a Vibe app triggers an integration, it consumes 2 AI credits per integration trigger. Here&#8217;s what that looks like in practice:<\/p>\n<ul>\n<li><strong>Every chatbot answer<\/strong> generated by the app: 8 credits<\/li>\n<li><strong>Each generated post<\/strong> the app creates: 8 credits<\/li>\n<li><strong>Every dashboard refresh<\/strong> that reads board data: 8 credits<\/li>\n<li><strong>Each individual item update<\/strong> (regardless of whether multiple updates are made on the same item): 8 credits<\/li>\n<\/ul>\n<p>You can ask your Vibe app directly, &#8220;How many credits will this app consume?&#8221; to get a real-time estimate before committing to a workflow.<\/p>\n"},{"acf_fc_layout":"image","image_type":"normal","image":358286,"image_link":""}]},{"main_heading":"Which monday AI Workspace features are free?","content_block":[{"acf_fc_layout":"text","content":"<p>Many of the most valuable AI capabilities on monday AI Workspace cost zero credits. These features cover everyday writing, formula creation, and content assistance: the kinds of actions teams use dozens of times a day.<\/p>\n<h3>Platform-wide AI features that cost zero credits<\/h3>\n<p>Teams can experience AI value immediately with these free features.<\/p>\n<ul>\n<li><strong>AI-powered formula builder:<\/strong> Describe a formula objective in conversational language, such as &#8220;calculate the number of days between the start date and today,&#8221; and AI generates the formula for you without you needing to memorize syntax or look up function references.<\/li>\n<li><strong>AI updates creation and fast replies:<\/strong> Get AI-assisted writing and auto-reply in the updates section of any item. Draft a status update, respond to a teammate&#8217;s question, or summarize a thread, all with AI assistance.<\/li>\n<li><strong>AI in monday workdocs:<\/strong> Get AI-generated templates and content assistance within docs. Start a new doc and let AI generate a structured template \u2014 whether it&#8217;s a project brief, meeting agenda, or campaign plan.<\/li>\n<li><strong>Email generator in monday CRM:<\/strong> Get AI-assisted email drafting within CRM workflows. Write, edit, and refine outreach emails directly inside your CRM pipeline.<\/li>\n<li><strong>Summarize and rephrase:<\/strong> Get AI summarization of complex topics with action items. Focus on what matters. AI condenses lengthy updates, extracts key points, and highlights next steps.<\/li>\n<\/ul>\n<p><em>This list may change as new features are released. Check the complete free feature list in the current <\/em><a href=\"https:\/\/support.monday.com\/hc\/en-us\/articles\/24047211522194-AI-Feature-Catalog\"><em>AI Feature Catalog<\/em><\/a><em> in the monday.com help center.<\/em><\/p>\n<h3>Why monday MCP does not consume AI credits<\/h3>\n<p>monday MCP (Model Context Protocol) connects external AI assistants like Claude, ChatGPT, Cursor, and Microsoft Copilot Studio to your monday.com workspace. MCP is available on all monday.com plans for free and doesn&#8217;t consume AI credits.<\/p>\n<p>Although the MCP connection itself is free on the monday.com side, you may incur costs from the external AI assistant you connect through MCP. Those are billed separately by the provider (OpenAI, Anthropic, etc.). It&#8217;s important to account for this when you&#8217;re designing how agents, prompts, and connected assistants should work together. monday MCP expands AI access at zero credit cost, while monday agents handle execution optimized for work platform context.<\/p>\n"},{"acf_fc_layout":"image","image_type":"normal","image":347203,"image_link":""}]},{"main_heading":"How much do AI credits cost on yearly and monthly plans?","content_block":[{"acf_fc_layout":"text","content":"<p>Know the per-credit cost so you can plan spending accurately. The difference in per-credit rates can add up significantly for teams with consistent, high-volume AI workflows.<\/p>\n<h3>Per-credit pricing by billing cadence<\/h3>\n<p>The per-credit cost is <strong>$0.01 on yearly billing<\/strong> and <strong>$0.0125 on monthly billing<\/strong>. Yearly billing offers a 20% lower per-credit rate, which can meaningfully reduce costs for teams with consistent AI usage. For a team consuming 5,000 credits per month, that difference adds up to $75 saved annually.<\/p>\n<p><em>Currency pricing may vary. Reference the <a href=\"https:\/\/monday.com\/pricing\">monday.com pricing page<\/a> for current rates in your local currency.<\/em><\/p>\n"}]},{"main_heading":"How to buy more AI credits","content_block":[{"acf_fc_layout":"text","content":"<p>Additional AI credits are available to purchase in predefined buckets, not as individual credits. This bucket model means larger purchases come with a lower per-credit rate, rewarding teams that plan ahead.<\/p>\n<p><strong>Step 1: Access the Administration section.<\/strong> Account admins navigate to the Administration section of their monday.com account.<\/p>\n<p><strong>Step 2: Find the AI credits or billing section.<\/strong> Locate the AI credits or billing area within Administration.<\/p>\n<p><strong>Step 3: Select the right bucket size.<\/strong> Choose the bundle that fits your team&#8217;s projected usage. A smaller bucket works well for teams testing new AI workflows, while larger buckets offer improved per-credit economics for teams running daily AI automations and agent workflows.<\/p>\n<p>Teams with high-volume AI usage or specific requirements, such as enterprise-wide agent deployments or custom credit allocations across business units, can contact monday.com directly for tailored options.<\/p>\n<a class=\"cta-button blue-button\" aria-label=\"Get started\" href=\"https:\/\/auth.monday.com\/users\/sign_up_new\" target=\"_blank\">Get started<\/a>\n"}]},{"main_heading":"How to estimate AI credit usage for your team","content_block":[{"acf_fc_layout":"text","content":"<p>Estimating credit usage depends on 3 variables: team size, which AI features the team uses daily, and how frequently those features run. The scenarios below show how different team profiles translate into monthly credit consumption.<\/p>\n<h3>Scenario 1: A small project team with occasional AI usage<\/h3>\n<p>A 3-person project team on monday AI Workspace uses AI blocks to categorize incoming tasks twice per week and runs AI-assisted update drafting (free, zero credits) a few times daily. They occasionally use monday sidekick to summarize project status.<\/p>\n\n<table id=\"tablepress-3787\" class=\"tablepress tablepress-id-3787\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\">Feature used<\/th><th class=\"column-2\">Credits per action<\/th><th class=\"column-3\">Frequency per month<\/th><th class=\"column-4\">Subtotal<\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-striping row-hover\">\n<tr class=\"row-2\">\n\t<td class=\"column-1\">AI block: Categorize tasks<\/td><td class=\"column-2\">Standard rate per execution<\/td><td class=\"column-3\">~24 executions (8 per team member \u00d7 3 members)<\/td><td class=\"column-4\">~24 \u00d7 credit rate<\/td>\n<\/tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\">monday sidekick messages<\/td><td class=\"column-2\">Standard rate per message<\/td><td class=\"column-3\">~40 messages (occasional use)<\/td><td class=\"column-4\">~40 \u00d7 credit rate<\/td>\n<\/tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\">AI updates creation (free)<\/td><td class=\"column-2\">0<\/td><td class=\"column-3\">Daily use<\/td><td class=\"column-4\">0<\/td>\n<\/tr>\n<tr class=\"row-5\">\n\t<td class=\"column-1\">Estimated monthly total<\/td><td class=\"column-2\"><\/td><td class=\"column-3\"><\/td><td class=\"column-4\">~800\u20131,200 credits<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<!-- #tablepress-3787 from cache -->\n<p>A typical 3-person team uses approximately 800\u20131,200 credits per month as a baseline, which aligns with this usage pattern.<\/p>\n<h3>Scenario 2: A mid-size team running daily AI workflows<\/h3>\n<p>A 10-person operations team runs automated AI workflows for sentiment detection on stakeholder feedback (daily), AI-powered status reports (weekly), and meeting summaries through the AI Notetaker (3 meetings per week).<\/p>\n\n<table id=\"tablepress-3788\" class=\"tablepress tablepress-id-3788\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\">Feature used<\/th><th class=\"column-2\">Credits per action<\/th><th class=\"column-3\">Frequency per month<\/th><th class=\"column-4\">Subtotal<\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-striping row-hover\">\n<tr class=\"row-2\">\n\t<td class=\"column-1\">AI workflow: Sentiment detection<\/td><td class=\"column-2\">Credits per AI action in workflow<\/td><td class=\"column-3\">~200 items\/month<\/td><td class=\"column-4\">200 \u00d7 credit rate<\/td>\n<\/tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\">AI workflow: Status report generation<\/td><td class=\"column-2\">Credits per AI action<\/td><td class=\"column-3\">~4 reports\/month<\/td><td class=\"column-4\">4 \u00d7 credit rate<\/td>\n<\/tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\">AI Notetaker: Meeting summaries<\/td><td class=\"column-2\">Credits per transcription<\/td><td class=\"column-3\">~12 meetings\/month<\/td><td class=\"column-4\">12 \u00d7 credit rate<\/td>\n<\/tr>\n<tr class=\"row-5\">\n\t<td class=\"column-1\">monday sidekick messages<\/td><td class=\"column-2\">Standard rate per message<\/td><td class=\"column-3\">~300 messages\/month<\/td><td class=\"column-4\">300 \u00d7 credit rate<\/td>\n<\/tr>\n<tr class=\"row-6\">\n\t<td class=\"column-1\">Estimated monthly total<\/td><td class=\"column-2\"><\/td><td class=\"column-3\"><\/td><td class=\"column-4\">~3,000\u20135,000 credits<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<!-- #tablepress-3788 from cache -->\n<p>Daily automated workflows consume credits at a higher rate than occasional manual usage because they trigger on every qualifying event without human intervention.<\/p>\n<h3>Scenario 3: A project management team using the Risk Analyzer and Meeting Summarizer agents<\/h3>\n<p>A 5-person project management team on monday AI Workspace uses the Risk Analyzer agent for automated risk detection and mitigation, plus the Meeting Summarizer agent for capturing action items and decisions. These agents run autonomously throughout the workday.<\/p>\n\n<table id=\"tablepress-3789\" class=\"tablepress tablepress-id-3789\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\">Feature used<\/th><th class=\"column-2\">Credits per action<\/th><th class=\"column-3\">Frequency per month<\/th><th class=\"column-4\">Subtotal<\/th>\n<\/tr>\n<\/thead>\n<tbody class=\"row-striping row-hover\">\n<tr class=\"row-2\">\n\t<td class=\"column-1\">Risk Analyzer agent runs<\/td><td class=\"column-2\">Multi-credit per run<\/td><td class=\"column-3\">~200 agent runs\/month<\/td><td class=\"column-4\">200 \u00d7 multi-credit rate<\/td>\n<\/tr>\n<tr class=\"row-3\">\n\t<td class=\"column-1\">Meeting Summarizer agent runs<\/td><td class=\"column-2\">Multi-credit per run<\/td><td class=\"column-3\">~150 agent runs\/month<\/td><td class=\"column-4\">150 \u00d7 multi-credit rate<\/td>\n<\/tr>\n<tr class=\"row-4\">\n\t<td class=\"column-1\">AI blocks for task categorization<\/td><td class=\"column-2\">Standard rate<\/td><td class=\"column-3\">~100 executions\/month<\/td><td class=\"column-4\">100 \u00d7 credit rate<\/td>\n<\/tr>\n<tr class=\"row-5\">\n\t<td class=\"column-1\">AI updates creation (free)<\/td><td class=\"column-2\">0<\/td><td class=\"column-3\">Daily use<\/td><td class=\"column-4\">0<\/td>\n<\/tr>\n<tr class=\"row-6\">\n\t<td class=\"column-1\">monday sidekick messages<\/td><td class=\"column-2\">Standard rate per message<\/td><td class=\"column-3\">~250 messages\/month<\/td><td class=\"column-4\">250 \u00d7 credit rate<\/td>\n<\/tr>\n<tr class=\"row-7\">\n\t<td class=\"column-1\">Estimated monthly total<\/td><td class=\"column-2\"><\/td><td class=\"column-3\"><\/td><td class=\"column-4\">~5,000\u20138,000 credits<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<!-- #tablepress-3789 from cache -->\n<p>Agent-driven workflows represent a higher credit investment, but they directly identify project risks and capture critical decisions. This makes the credit spend a measurable input to project success and team efficiency rather than an abstract cost.<\/p>\n"}]},{"main_heading":"Why different AI actions use different credit amounts","content_block":[{"acf_fc_layout":"text","content":"<p>Credit costs vary because different AI actions require different levels of computational resources. Understanding this relationship helps teams make informed decisions about which models to use for different workflows.<\/p>\n<h3>How complexity and AI model selection affect consumption<\/h3>\n<p>A simple text categorization \u2014 where AI reads a short text field and selects from a predefined list of labels \u2014 uses far fewer resources than a complex multi-step agent run that involves web research, data analysis across multiple boards, and content generation.<\/p>\n<p>Think of it like different types of phone calls: a local call costs less than an international call with translation services. The underlying infrastructure required to complete the action determines the cost.<\/p>\n<p>The platform uses multiple AI model providers to power different features, including:<\/p>\n<ul>\n<li><strong>Microsoft Azure OpenAI<\/strong><\/li>\n<li><strong>AWS Bedrock<\/strong> (Mistral, Anthropic)<\/li>\n<li><strong>OpenAI&#8217;s GPT models<\/strong><\/li>\n<\/ul>\n<p>Each model has a different cost and capability profile. A lightweight model optimized for categorization costs less to run than a large language model designed for nuanced content generation.<\/p>\n<h3>Choosing the right model for cost and quality<\/h3>\n<p>An AI model picker allows team members to select which AI model powers certain actions. This gives teams a direct cost-efficiency lever:<\/p>\n<ul>\n<li><strong>For routine actions<\/strong> (simple categorization, sentiment detection): Choose a lighter, less expensive model.<\/li>\n<li><strong>For complex actions<\/strong> (detailed content generation, multi-step analysis, nuanced lead qualification): Reserve more capable models where the output quality justifies the cost.<\/li>\n<\/ul>\n"},{"acf_fc_layout":"image","image_type":"normal","image":359253,"image_link":""}]},{"main_heading":"How to track and control AI credit usage","content_block":[{"acf_fc_layout":"text","content":"<p>Visibility into AI credit consumption is essential for <a href=\"https:\/\/monday.com\/templates\/budget-tracker\">budget planning<\/a> and scaling AI adoption with confidence. The governance dashboard provides the data foundation for treating AI credits as a managed cost center, giving finance and operations leaders the same visibility into AI spend they have into other operational costs.<\/p>\n<h3>Use the AI governance dashboard to monitor consumption<\/h3>\n<p>Navigate to <strong>Administration \u2192 AI governance \u2192 Credits<\/strong>. The dashboard shows:<\/p>\n<ul>\n<li>Total credits used<\/li>\n<li>Credits remaining<\/li>\n<li>Usage by feature<\/li>\n<li>Usage by person or team<\/li>\n<\/ul>\n<h3>Set automated alerts at 80% and 100% usage<\/h3>\n<p>Admins can configure automatic notifications that trigger at 2 thresholds:<\/p>\n<ul>\n<li><strong>At 80% usage:<\/strong> Admins receive a notification with enough lead time to evaluate options. You can purchase additional credits, adjust usage patterns, or simply continue knowing the remaining 20% will cover the rest of the billing cycle.<\/li>\n<li><strong>At 100% usage:<\/strong> Credit-consuming AI features are temporarily restricted, but free AI features continue to work normally. Admins can restore full access by purchasing an additional credit bucket or waiting for the next billing cycle reset.<\/li>\n<\/ul>\n<p>Your team retains access to the most-used AI capabilities even when credits are exhausted, and the system provides advance warning before you reach the limit.<\/p>\n<h3>Export usage data for team-level reporting and budgeting<\/h3>\n<p>Usage data can be exported for external analysis. This enables teams to:<\/p>\n<ul>\n<li>Build monthly or quarterly AI usage reports<\/li>\n<li>Allocate AI costs to specific departments (for example, attributing Sales Agent credits to the sales team&#8217;s budget)<\/li>\n<li>Forecast future credit needs based on historical consumption patterns<\/li>\n<\/ul>\n<p>Organizations that treat AI credits as a managed cost center, rather than an unmonitored expense, are positioned to scale AI adoption confidently. The governance dashboard provides the data foundation for that discipline.<\/p>\n"}]},{"main_heading":"How governance enables confident AI scaling","content_block":[{"acf_fc_layout":"text","content":"<p>Credit visibility is part of a broader governance framework that separates controlled <a href=\"https:\/\/monday.com\/blog\/ai-agents\/ai-adoption-strategy\/\">AI adoption<\/a> from unmanaged AI sprawl. Organizations that succeed with AI at scale treat governance as a strategic advantage, not an administrative burden.<\/p>\n<p>monday AI Workspace provides full visibility, permissions, and oversight embedded directly into everyday work. AI operates transparently within the guardrails teams already rely on.<\/p>\n<p>The governance framework includes several key components:<\/p>\n<ul>\n<li><strong>Control:<\/strong> Explicitly decide what agents can and cannot do, both inside monday and across external integrations.<\/li>\n<li><strong>Permissions:<\/strong> Define exactly which data agents can access, and whether they have permission to edit, create, or only read information.<\/li>\n<li><strong>Human in the loop:<\/strong> Validate agent actions before activating them with simulation mode.<\/li>\n<li><strong>Compliance:<\/strong> monday is HIPAA compliant, as well as holds ISO\/IEC 27001, SOC 2 Type II, and ISO\/IEC 27701 certifications.<\/li>\n<li><strong>Content ownership and data rights:<\/strong> You retain ownership of the content you provide and the content generated by AI. monday.com does not allow third parties to train on your data.<\/li>\n<\/ul>\n<p>This governance framework encourages organizations to scale AI with control. Only <a href=\"https:\/\/www.deloitte.com\/us\/en\/insights\/topics\/emerging-technologies\/ai-agents-scaling-faster.html\">21% of enterprises report having &#8220;mature governance&#8221;<\/a> in place to manage the risks of agentic AI, according to Deloitte&#8217;s 2026 survey of 3,235 IT and business leaders. The ability to monitor usage by team, workflow, and model is essential for building internal business cases and maintaining stakeholder confidence in activating agents as part of their lineup.<\/p>\n"}]},{"main_heading":"Unlock infinite potential with monday AI credits","content_block":[{"acf_fc_layout":"text","content":"<p>AI credits as part of the monday AI Workspace give teams transparent costs and full visibility into every AI action cost. Start with free AI features to build confidence, then scale credit usage toward the autonomous agents that deliver the strongest pipeline results.<\/p>\n<p>The shared credit pool means AI works across every department without siloed budgets, and the governance dashboard keeps spend predictable as you scale.<\/p>\n<a class=\"cta-button blue-button\" aria-label=\"Get started\" href=\"https:\/\/auth.monday.com\/users\/sign_up_new\" target=\"_blank\">Get started<\/a>\n<div class=\"accordion faq\" id=\"faq-frequently-asked-questions-about-monday-ai-credits\">\n  <h2 class=\"accordion__heading section-title text-left\">Frequently asked questions about monday AI credits<\/h2>\n    <div class=\"accordion__item\">\n    <a class=\"accordion__button d-block\" data-toggle=\"collapse\" data-parent=\"#faq-frequently-asked-questions-about-monday-ai-credits\" href=\"#q-frequently-asked-questions-about-monday-ai-credits-1\"\n      aria-expanded=\"false\">\n      <h3 class=\"accordion__question\">Are AI credits shared across the entire monday.com account or assigned per person?        <svg class=\"angle-arrow angle-arrow--down\" width=\"32\" height=\"32\" viewBox=\"0 0 32 32\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n          <path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M16.5303 20.8839C16.2374 21.1768 15.7626 21.1768 15.4697 20.8839L7.82318 13.2374C7.53029 12.9445 7.53029 12.4697 7.82318 12.1768L8.17674 11.8232C8.46963 11.5303 8.9445 11.5303 9.2374 11.8232L16 18.5858L22.7626 11.8232C23.0555 11.5303 23.5303 11.5303 23.8232 11.8232L24.1768 12.1768C24.4697 12.4697 24.4697 12.9445 24.1768 13.2374L16.5303 20.8839Z\" fill=\"black\"\/>\n        <\/svg>\n      <\/h3>\n    <\/a>\n    <div id=\"q-frequently-asked-questions-about-monday-ai-credits-1\" class=\"accordion__answer collapse collapse--md\" data-parent=\"#faq-frequently-asked-questions-about-monday-ai-credits\">\n      <p>AI credits are pooled at the account level and shared across all team members. They aren't allocated individually, which means any team member with AI permissions can use credits from the shared pool.<\/p>\n    <\/div>\n  <\/div>\n    <div class=\"accordion__item\">\n    <a class=\"accordion__button d-block\" data-toggle=\"collapse\" data-parent=\"#faq-frequently-asked-questions-about-monday-ai-credits\" href=\"#q-frequently-asked-questions-about-monday-ai-credits-2\"\n      aria-expanded=\"false\">\n      <h3 class=\"accordion__question\">Can I try monday AI features before purchasing a paid plan?        <svg class=\"angle-arrow angle-arrow--down\" width=\"32\" height=\"32\" viewBox=\"0 0 32 32\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n          <path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M16.5303 20.8839C16.2374 21.1768 15.7626 21.1768 15.4697 20.8839L7.82318 13.2374C7.53029 12.9445 7.53029 12.4697 7.82318 12.1768L8.17674 11.8232C8.46963 11.5303 8.9445 11.5303 9.2374 11.8232L16 18.5858L22.7626 11.8232C23.0555 11.5303 23.5303 11.5303 23.8232 11.8232L24.1768 12.1768C24.4697 12.4697 24.4697 12.9445 24.1768 13.2374L16.5303 20.8839Z\" fill=\"black\"\/>\n        <\/svg>\n      <\/h3>\n    <\/a>\n    <div id=\"q-frequently-asked-questions-about-monday-ai-credits-2\" class=\"accordion__answer collapse collapse--md\" data-parent=\"#faq-frequently-asked-questions-about-monday-ai-credits\">\n      <p>Every monday.com account receives a starter allocation of free AI credits to explore AI capabilities, and many AI features are available at no credit cost on all plans, allowing teams to experience AI value before committing to a paid tier.<\/p>\n    <\/div>\n  <\/div>\n    <div class=\"accordion__item\">\n    <a class=\"accordion__button d-block\" data-toggle=\"collapse\" data-parent=\"#faq-frequently-asked-questions-about-monday-ai-credits\" href=\"#q-frequently-asked-questions-about-monday-ai-credits-3\"\n      aria-expanded=\"false\">\n      <h3 class=\"accordion__question\">Does monday.com use customer data to train AI models?        <svg class=\"angle-arrow angle-arrow--down\" width=\"32\" height=\"32\" viewBox=\"0 0 32 32\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n          <path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M16.5303 20.8839C16.2374 21.1768 15.7626 21.1768 15.4697 20.8839L7.82318 13.2374C7.53029 12.9445 7.53029 12.4697 7.82318 12.1768L8.17674 11.8232C8.46963 11.5303 8.9445 11.5303 9.2374 11.8232L16 18.5858L22.7626 11.8232C23.0555 11.5303 23.5303 11.5303 23.8232 11.8232L24.1768 12.1768C24.4697 12.4697 24.4697 12.9445 24.1768 13.2374L16.5303 20.8839Z\" fill=\"black\"\/>\n        <\/svg>\n      <\/h3>\n    <\/a>\n    <div id=\"q-frequently-asked-questions-about-monday-ai-credits-3\" class=\"accordion__answer collapse collapse--md\" data-parent=\"#faq-frequently-asked-questions-about-monday-ai-credits\">\n      <p>No, our platform doesn't use customer data or content to train its AI models and doesn't allow third parties to do so. Full details are available in the monday.com <a href=\"https:\/\/monday.com\/w\/ai-trust-center\">AI Trust Center<\/a>.<\/p>\n    <\/div>\n  <\/div>\n    <div class=\"accordion__item\">\n    <a class=\"accordion__button d-block\" data-toggle=\"collapse\" data-parent=\"#faq-frequently-asked-questions-about-monday-ai-credits\" href=\"#q-frequently-asked-questions-about-monday-ai-credits-4\"\n      aria-expanded=\"false\">\n      <h3 class=\"accordion__question\">How do AI credits work with external agents connected through monday MCP?        <svg class=\"angle-arrow angle-arrow--down\" width=\"32\" height=\"32\" viewBox=\"0 0 32 32\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n          <path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M16.5303 20.8839C16.2374 21.1768 15.7626 21.1768 15.4697 20.8839L7.82318 13.2374C7.53029 12.9445 7.53029 12.4697 7.82318 12.1768L8.17674 11.8232C8.46963 11.5303 8.9445 11.5303 9.2374 11.8232L16 18.5858L22.7626 11.8232C23.0555 11.5303 23.5303 11.5303 23.8232 11.8232L24.1768 12.1768C24.4697 12.4697 24.4697 12.9445 24.1768 13.2374L16.5303 20.8839Z\" fill=\"black\"\/>\n        <\/svg>\n      <\/h3>\n    <\/a>\n    <div id=\"q-frequently-asked-questions-about-monday-ai-credits-4\" class=\"accordion__answer collapse collapse--md\" data-parent=\"#faq-frequently-asked-questions-about-monday-ai-credits\">\n      <p><a href=\"https:\/\/monday.com\/w\/mcp\">monday MCP<\/a> itself doesn't consume AI credits, but any AI actions triggered within the monday.com platform as a result of MCP-connected agent activity consume credits according to the standard rates. Costs from the external AI assistant (such as Claude or ChatGPT) are billed separately by that provider.<\/p>\n    <\/div>\n  <\/div>\n  <script type='application\/ld+json'>{\n    \"@context\": \"https:\\\/\\\/schema.org\",\n    \"@type\": \"FAQPage\",\n    \"mainEntity\": [\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Are AI credits shared across the entire monday.com account or assigned per person?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"<p>AI credits are pooled at the account level and shared across all team members. They aren't allocated individually, which means any team member with AI permissions can use credits from the shared pool.<\\\/p>\\n\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Can I try monday AI features before purchasing a paid plan?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"<p>Every monday.com account receives a starter allocation of free AI credits to explore AI capabilities, and many AI features are available at no credit cost on all plans, allowing teams to experience AI value before committing to a paid tier.<\\\/p>\\n\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"Does monday.com use customer data to train AI models?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"<p>No, our platform doesn't use customer data or content to train its AI models and doesn't allow third parties to do so. Full details are available in the monday.com <a href=\\\"https:\\\/\\\/monday.com\\\/w\\\/ai-trust-center\\\">AI Trust Center<\\\/a>.<\\\/p>\\n\"\n            }\n        },\n        {\n            \"@type\": \"Question\",\n            \"name\": \"How do AI credits work with external agents connected through monday MCP?\",\n            \"acceptedAnswer\": {\n                \"@type\": \"Answer\",\n                \"text\": \"<p><a href=\\\"https:\\\/\\\/monday.com\\\/w\\\/mcp\\\">monday MCP<\\\/a> itself doesn't consume AI credits, but any AI actions triggered within the monday.com platform as a result of MCP-connected agent activity consume credits according to the standard rates. Costs from the external AI assistant (such as Claude or ChatGPT) are billed separately by that provider.<\\\/p>\\n\"\n            }\n        }\n    ]\n}<\/script><\/div>\n\n"}]}]}],"faqs":[{"faq_title":"Frequently asked questions about monday AI credits","faq_shortcode":"frequently-asked-questions-about-monday-ai-credits","faq":[{"question":"Are AI credits shared across the entire monday.com account or assigned per person?","answer":"<p>AI credits are pooled at the account level and shared across all team members. They aren't allocated individually, which means any team member with AI permissions can use credits from the shared pool.<\/p>\n"},{"question":"Can I try monday AI features before purchasing a paid plan?","answer":"<p>Every monday.com account receives a starter allocation of free AI credits to explore AI capabilities, and many AI features are available at no credit cost on all plans, allowing teams to experience AI value before committing to a paid tier.<\/p>\n"},{"question":"Does monday.com use customer data to train AI models?","answer":"<p>No, our platform doesn't use customer data or content to train its AI models and doesn't allow third parties to do so. Full details are available in the monday.com <a href=\"https:\/\/monday.com\/w\/ai-trust-center\">AI Trust Center<\/a>.<\/p>\n"},{"question":"How do AI credits work with external agents connected through monday MCP?","answer":"<p><a href=\"https:\/\/monday.com\/w\/mcp\">monday MCP<\/a> itself doesn't consume AI credits, but any AI actions triggered within the monday.com platform as a result of MCP-connected agent activity consume credits according to the standard rates. Costs from the external AI assistant (such as Claude or ChatGPT) are billed separately by that provider.<\/p>\n"}]}],"parse_from_google_doc":false,"show_sidebar_sticky_banner":false,"lobby_image":false,"post_thumbnail_title":"","hide_post_info":false,"hide_bottom_cta":false,"hide_from_blog":false,"landing_page_layout":false,"hide_time_to_read":false,"sidebar_color_banner":"","custom_tags":false,"disclaimer":"","cornerstone_hero_cta_override":{"label":"","url":""},"menu_cta_override":{"label":"","url":""},"show_contact_sales_button":"default","override_contact_sales_label":"","override_contact_sales_url":"","cluster":"","display_dates":"default","featured_image_link":"","custom_header_banner":false,"activate_cta_banner":false,"banner_url":"","main_text_banner":"","sub_title_banner":"","sub_title_banner_second":"","banner_button_text":"","below_banner_line":"","use_customized_cta":false,"custom_schema_code":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.6 (Yoast SEO v28.0) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>monday AI Credits: Plans, Pricing, and Free Features<\/title>\n<meta name=\"description\" content=\"monday AI credits are the single unit measuring all AI usage on monday.com \u2014 from agent runs to automations. 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