{"id":31274,"date":"2025-04-28T11:30:50","date_gmt":"2025-04-28T10:30:50","guid":{"rendered":"https:\/\/www.intercom.com\/blog\/?p=31274"},"modified":"2025-05-05T13:02:21","modified_gmt":"2025-05-05T12:02:21","slug":"pricing-ai-agents","status":"publish","type":"post","link":"https:\/\/www.intercom.com\/blog\/pricing-ai-agents\/","title":{"rendered":"Pricing AI agents: What does \u2018value-based pricing\u2019 really mean for AI?"},"content":{"rendered":"<p>As builders, we obsess over the AI experience &#8211; how smart it is, how fast it replies, how many conversations it resolves. But none of that matters if we don\u2019t get the pricing right. If it feels unfair, unpredictable, or misaligned with value, adoption stalls.<\/p>\n<p>To guide our pricing strategy, we\u2019ve always been strongly led by customer feedback. Intercom had the first AI agent to <a href=\"https:\/\/www.growthunhinged.com\/p\/the-state-of-usage-based-pricing\" target=\"_blank\" rel=\"noopener\">pioneer value-based pricing,<\/a>\u00a0a decision that we came to after extensive research.<\/p>\n<p>We just completed more deep research with decision-makers buying AI agents. Here\u2019s what we learned.<\/p>\n<h2 id=\"most-buyers-dont-want-to-pay-based-on-usage\">Most buyers don\u2019t want to pay based on usage<\/h2>\n<p>Let\u2019s start with the obvious one. Many AI agent providers charge per conversation. It\u2019s clean, familiar, and sounds simple. But not a single buyer we spoke to actually wanted to pay that way.<\/p>\n<p>It\u2019s not that conversation-based pricing is inherently bad \u2013 it\u2019s just not value-aligned. Buyers rightly pointed out that with this model, you pay whether your AI is useful or not. One buyer put it like this:<\/p>\n<p><em>\u201cIt\u2019s like calling a call centre and the agent says, \u2018you suck.\u2019 That counts as a conversation, but it sure as hell shouldn\u2019t count as value.\u201d<\/em><\/p>\n<p>So why is conversation pricing so popular in the market? Because it mitigates risk. It helps companies get started with AI when they have no historical data, no sense of what \u201cnormal\u201d usage looks like, and need to get something live. When there are lots of unknowns, it feels like the most secure option.<\/p>\n<p>But is it really the best way to manage uncertainty \u2013 or just the most familiar?<\/p>\n<p>There are better ways to solve for this uncertainty without designing your pricing metric around it. Giving customers the ability to test your product and the flexibility to scale usage without penalties is a far more customer-obsessed, value-aligned way of charging for AI agents \u2013 while still managing risk.<\/p>\n<h2 id=\"outcomes-are-the-clearest-path-to-value\">Outcomes are the clearest path to value<\/h2>\n<p>For Fin AI Agent, that\u2019s resolutions.<\/p>\n<p>The most widely-preferred pricing metric in our research was resolutions. It just makes sense: you pay when the AI solves a customer\u2019s problem. If it doesn\u2019t, you don\u2019t. That\u2019s aligned. That\u2019s fair.<\/p>\n<p>Resolutions also create healthy pressure on the vendor (us) to improve the product. And they give buyers <a href=\"https:\/\/www.intercom.com\/blog\/pricing\/fin-roi\" target=\"_blank\" rel=\"noopener\">a clean way to compare ROI<\/a>: how much does it cost to resolve something via AI vs. via a human?<\/p>\n<p>But it\u2019s not perfect. Predictability is still a concern. Because resolutions is a newer metric, many buyers don\u2019t yet have enough historical data to forecast their bills with confidence. That\u2019s something we, as vendors, need to help solve.<\/p>\n<h2 id=\"trust-is-the-currency-of-ai\">Trust is the currency of AI<\/h2>\n<p>We also tested a more advanced concept: AI-confirmed resolutions. It\u2019s like resolutions, but with a second AI reviewing the conversation to determine whether the issue was actually resolved.<\/p>\n<p>Some loved it. Others didn\u2019t trust it.<\/p>\n<p>On the surface, it gets us closer to true outcome-based pricing. But as one buyer said:<\/p>\n<p><em>\u201cHow do I know the second AI isn\u2019t just agreeing with the first?\u201d<\/em><\/p>\n<p>There\u2019s a trust gap here, and we shouldn\u2019t ignore it. We\u2019re asking people to believe in not one, but two black boxes.<\/p>\n<p>There\u2019s potential in this idea, but when pricing new products, we have to start with metrics that feel fair and earn trust.<\/p>\n<h2 id=\"total-price-still-trumps-all\">Total price still trumps all<\/h2>\n<p>Here\u2019s the reality check: while buyers care about fairness, predictability, and alignment \u2013 they care about cost savings more.<\/p>\n<p>The main reason people buy AI agents is to reduce support costs. When the rubber hits the road, they\u2019ll usually choose the cheaper pricing model, even if it\u2019s less appealing.<\/p>\n<p>We saw this again and again. Buyers said they preferred resolutions \u2013 but if it was 20% more expensive than Conversations for the same product? They\u2019d go with Conversations. A few said they might pay a ~10% premium for the \u201cright\u201d metric. Beyond that, price wins.<\/p>\n<p>This has huge implications for vendors. Even the most elegant, value-based metric won\u2019t land if it comes with an uncompetitive price point.<\/p>\n<h2 id=\"so-where-does-that-leave-us\">So, where does that leave us?<\/h2>\n<p>We\u2019re still early in this journey. Pricing AI agents is complex, and there\u2019s no one-size-fits-all solution. But here\u2019s what we\u2019re taking forward:<\/p>\n<p style=\"text-align: left;\">\u2705 <strong>Resolutions is the right direction<\/strong> &#8211; but buyers need help getting there, support, data, and transparency.<\/p>\n<p style=\"text-align: left;\">\ud83d\udcb0 <strong>Price still wins.<\/strong> A great metric won\u2019t land if the price point doesn\u2019t work.<\/p>\n<p style=\"text-align: left;\">\ud83e\udd1d <strong>Trust is the currency of AI.<\/strong> Buyers need to trust the agent <em>and<\/em> the pricing model.<\/p>\n<p><strong>Value-aligned pricing isn\u2019t just the future &#8211; it\u2019s the benchmark.<\/strong><\/p>\n<p>This isn\u2019t just about pricing. It\u2019s about trust, alignment, and long-term partnership. And we\u2019re closing the gap.<\/p>\n\n","protected":false},"excerpt":{"rendered":"<p>In AI, trust and value matter \u2013 but price still rules. Value-aligned pricing is the future, but it must be fair and competitive. <\/p>\n","protected":false},"author":581,"featured_media":31276,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"category":[25198,3],"tags":[25174,25324,25357],"coauthors":[25359],"class_list":["post-31274","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-ml","category-customer-support","tag-fin","tag-fin-ai-agent","tag-value-based-pricing"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Pricing AI agents: What does \u2018value-based pricing\u2019 really mean for AI? - The Intercom Blog<\/title>\n<meta name=\"description\" content=\"In AI, trust and value matter \u2013 but price still rules. 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