Per-resolution pricing bills an AI customer support vendor only when its software closes a conversation, unlike traditional per-seat software charged monthly regardless of usage. Published 2026 rates range from $0.40 per ticket at eesel to roughly $2.00 at Zendesk and $0.99 per outcome at Intercom Fin AI Agent, while Ada and Sierra negotiate contracts individually and publish no fixed rate.
Summary: AI customer support software now bills per resolution instead of per seat, and vendors define "resolved" differently. Intercom charges $0.99 per outcome, Zendesk roughly $1.50 to $2.00, and eesel a flat $0.40 with a spend cap. Ada and Sierra publish no pricing at all, so model your cost from your own ticket volume before signing anything.
Intercom charges $0.99 every time its Fin AI Agent resolves a support conversation, and in January 2026 investors valued Decagon, a five-year-old rival selling the same kind of outcome, at $4.5 billion.
That number is not an accident. Across AI customer support software, the dominant pricing model in 2026 is no longer a monthly seat fee. It is a price per ticket the software claims to have solved.
For a twenty-agent team handling ten thousand tickets a month, the gap between a $0.99 definition of "resolved" and a $2.00 one is real money. Almost nothing written about this category explains that the definition changes by vendor.
This guide does the comparison the listicles skip: what several vendors actually charge per resolution, how to model your own cost before a demo, and which players will not publish a number at all. Two of the largest names will not tell you a price until you have already sat through a sales call.
For most of the last decade, customer support software was sold the way most SaaS is sold: a monthly fee per human agent, whether that agent used the product heavily or barely opened it. Zendesk still runs on that model at its core, with Suite plans from $19 to $115 per agent per month.
But the AI layer stacked on top of it, and on top of most competitors, now bills differently. Zendesk's automated resolutions cost roughly $2.00 each on a pay-as-you-go basis, or about $1.50 with a committed volume, on top of the seat fee and a separate $50-per-agent Copilot charge.
Intercom went further and built Fin's entire commercial model around the outcome. According to Intercom's own pricing page, a "billable outcome" happens when a customer confirms their issue is resolved, does not ask for more help after Fin responds, or completes a workflow handoff, and each one costs $0.99 regardless of how many messages it took to get there.
Decagon, which raised $250 million in a Series D round led by Coatue Management and Index Ventures that January, sells enterprise buyers like Duolingo and Avis Budget Group on the same logic. Revenue ties to conversations actually closed, not seats provisioned.
Put the published and reported numbers side by side and the range is wide enough that "per resolution pricing" stops meaning one thing.
Fin AI Agent is the most transparent of the group: $0.99 per outcome, with seat plans layered from $29 to $132 a month if you want the full helpdesk around it. Zendesk sits above that at roughly $1.50 to $2.00 per automated resolution, on top of its per-agent Suite pricing.
Sierra, the enterprise agent platform co-founded by Bret Taylor, has reportedly priced resolutions around $1.50 each inside custom contracts that start near $150,000 a year. The company's annualized revenue moved from about $100 million in November 2025 to roughly $200 million by mid-2026.
Ada does not publish pricing at all. Third-party procurement trackers and a Salesforce AppExchange listing put per-resolution rates between $1.00 and $3.50, with a $30,000-a-year entry point and enterprise deployments reaching $300,000 or more.
eesel AI sits at the opposite end. It charges $0.40 for a "regular task," which covers one full ticket or chat session no matter how many messages it takes, with a default monthly spend cap of $250 that a buyer sets and controls directly.
That cap is the detail every enterprise vendor in this list omits. eesel's own pricing page states plainly that agents "will never charge beyond what you've set," and none of the four enterprise-scale vendors above offer that as standard.
Ada and Sierra's contracts share something beyond outcome-based billing: neither publishes a rate card. Ada requires a demo, a discussion of volume, channels and integrations, and a custom quote before you see a figure. Sierra runs the same process, and every contract is negotiated individually with no self-serve tier.
That is not automatically a problem. Enterprise software has priced this way for decades. But it does mean a buyer cannot shortlist Ada or Sierra by cost the way they can shortlist Fin, Zendesk or eesel.
Any comparison that lists all five on one price axis is smoothing over a real difference in how much information you get before signing.
Five questions separate a good fit from an expensive mistake, and none of them require a demo call to answer.
Do you know your monthly ticket volume within roughly 20 percent? If not, an uncapped per-resolution contract is the wrong first purchase, because you cannot forecast the bill. Start with a capped tool like eesel, or a fixed-tier product like Chatbase, until you have three months of real data.
What exactly counts as a resolution in the contract, in writing? Get the vendor's precise definition before signing, not the marketing page's summary of it. Intercom's own definition, a customer not asking a follow-up question, is not the same claim as "the customer's problem was solved."
Is there a spend cap, or a committed-volume discount, or is the pricing fully open-ended? eesel and Chatbase both cap spend by design. Zendesk and Intercom offer committed-volume discounts if you negotiate for them. Sierra and Ada set the number per contract.
Does the tool sit on top of your existing helpdesk, or does it replace it? Fin, eesel and Chatbase can bolt onto Zendesk, Intercom's own suite, Freshdesk or Gorgias. Decagon, Ada and Sierra are typically the whole platform, which raises the switching cost if the relationship sours.
What is your actual loaded cost per ticket for a human agent? Include benefits, tooling and management overhead, not just salary divided by ticket count. Without that number, no per-resolution price, however cheap it looks, has a baseline to beat.
Run the numbers before the sales call, not after. Take a support team fielding 8,000 tickets a month, of which a vendor's demo claims 60 percent can be auto-resolved, a plausible mid-range figure for well-documented product questions. That is 4,800 resolutions a month.
At Zendesk's committed-volume rate of roughly $1.50 per resolution, the AI line alone runs about $7,200 a month, on top of whatever the Suite seats already cost. At Intercom's $0.99 per outcome, the same 4,800 resolutions cost about $4,750 a month. At eesel's flat $0.40 per ticket, the same volume costs $1,920, capped at whatever spend limit the buyer sets.
None of those three numbers is wrong. They describe different products with different resolution definitions and different depths of workflow automation. A vendor with a narrower definition of "resolved" will often show a higher raw resolution count in a demo, simply because it counts more conversations as closed.
The only way to compare them honestly is to run your own ticket volume through each vendor's published or quoted rate before signing. Do not trust the resolution rate a sales engineer shows on a slide built from someone else's data.
0 is the fastest-growing enterprise pick, tripling to a $4.5 billion valuation in January 2026 on Series D funding from Coatue and Index Ventures. It is built for large support volumes rather than a first deployment.
0's Fin AI Agent is built for a team already running Intercom's helpdesk, at $0.99 per outcome, the most transparently priced option on this list.
0 suits teams that already have Suite seats and want to add automated resolutions without switching platforms, though the $50 Copilot add-on and per-resolution fee stack on top of an existing bill.
0 targets high-volume enterprise deployments handling at least 300,000 conversations a year, but its lack of published pricing makes it a poor fit for a team that has not yet run a procurement process.
0 is built for Fortune 50-scale contracts with $150,000-plus annual minimums, not a mid-market first purchase.
0 sits at the other end of the market entirely: the cheapest credible entry point for a team that wants AI resolution without an open-ended bill, at $0.40 per ticket and a self-set spend cap.
0 fits a smaller, website-only chatbot use case at $32 to $400 a month on a message-credit system, closer to a chatbot builder than a full support platform.
0 is narrower still, a phone-focused AI receptionist starting near $50 a month for around 100 minutes, useful for a small business fielding calls rather than tickets.
Most teams evaluating this category are not choosing between all eight of the tools above. They are choosing between the fastest-growing enterprise-native platform and the transparently priced add-on to a tool they may already run.
Decagon's agentic workflows win on scale and on depth, the kind of multi-step account changes and returns processing that drove more than one hundred new enterprise customers in 2025. Fin wins on predictability and on integration cost: turning it on does not require a new vendor relationship, a new data pipeline or a new procurement cycle if the team already runs Intercom's helpdesk.
For a support team under fifty agents that has not already standardized on a separate platform, Fin is very often the cheaper and faster path to a working AI agent. For anything Fortune 500-scale, with support volume in the hundreds of thousands of monthly conversations, Decagon's purpose-built infrastructure is the one built for that scale.
A team fielding fewer than a few hundred tickets a month should not buy any of the eight tools above yet. Even eesel's $0.40-per-ticket floor and $250 monthly cap add up to real overhead against a support load that a single part-time agent, paid perhaps $1,500 a month, could clear without automation.
The math only favors an AI layer once ticket volume is high enough, and repetitive enough, that the per-resolution price beats the loaded cost of a human handling the same request. Below that line, a simple FAQ page and a shared inbox will outperform a metered AI contract on cost per resolved ticket.
The obvious rebuttal to everything above is that outcome-based pricing is supposed to be the buyer-friendly model: you only pay when the software actually does its job, so the vendor's incentives line up with yours by design. That argument holds only if "the job" is defined the same way the customer would define it.
Intercom's billable-outcome definition includes a conversation where the customer simply stops replying. A customer who gives up, rather than one whose problem got solved, can produce an identical line on the invoice.
That is not evidence Intercom is misrepresenting its numbers. The company states the definition plainly, on the same pricing page cited earlier in this guide. It is evidence that a buyer has to read that definition before assuming "we pay per resolution" means "we pay per happy customer."
Ask for the vendor's exact definition of a billable resolution in writing before the demo, not after the contract is signed. Ask what percentage of a recent customer's resolutions were re-opened within a week. That single number will tell you more about whether a $0.99 or a $2.00 resolution is the better deal than the sticker price ever will.
It means the vendor charges a fee each time its AI agent closes a support conversation, rather than billing a flat rate per human seat. The exact price varies by vendor: Intercom's Fin AI Agent charges $0.99 per outcome, while Zendesk's automated resolutions run $1.50 to $2.00 each. What counts as a resolution also differs by contract, so the sticker price alone does not tell you the real cost.
Neither company publishes a full public rate card for enterprise deployments. Decagon is positioned for large-scale enterprise support volume and reached a $4.5 billion valuation in January 2026 on $250 million in Series D funding, while Fin's $0.99-per-outcome price is published and layered on top of Intercom's $29 to $132 monthly seat plans. For a mid-sized team already using Intercom, Fin is typically the faster and cheaper path to deploy.
eesel AI is the cheapest capped option, charging $0.40 per resolved ticket with a default $250 monthly spend limit that a buyer controls directly. Chatbase and echowin are also inexpensive, starting around $32 and $50 a month, but both are narrower tools built for website chat or phone calls rather than a full support desk.
No. Both require a demo and a custom quote, and every contract is negotiated individually with no self-serve tier. Reported figures put Ada's per-resolution rate between $1.00 and $3.50 with enterprise deployments reaching $300,000 or more a year, and Sierra's at roughly $1.50 per resolution inside contracts that start near $150,000 annually.
Start with your own monthly ticket volume and multiply it by the vendor's per-resolution price, not the resolution rate shown in a sales demo. Ask for the vendor's exact written definition of a billable resolution first, since Intercom's own definition counts an outcome when a customer simply does not ask a follow-up question. Teams that cannot forecast ticket volume within about 20 percent should choose a capped tool like eesel until they have real usage data.
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