The State of AI Support Pricing 2026
How AI customer support actually bills in 2026: every vendor's verified rate, the five pricing models, the year's pivots, and the same month costed across all of them.
- 2026 is the year support AI stopped being priced like software and started being priced like labour: per resolution, per conversation, per task, with the meter running on the AI's success.
- The going rate for an AI-resolved ticket runs from about $0.49 to $2.00 depending on vendor, with $0.99 (Intercom's Fin) as the market's reference price.
- Five pricing models now coexist: flat-included, per-resolution, per-conversation, hybrid seat-plus-meter, and expiring credits. Each fails differently, and the failure is always in the busy month.
- The deepest 2026 shift: one vendor abolished seat pricing entirely, the market's largest player retired its legacy bots, and the analysts expect 40% of agentic-AI projects to be cancelled by 2027. The shakeout is the story.
Table of contents
How much does AI customer support cost in 2026? The honest answer is a rate card, not a number: the market prices an AI-resolved ticket anywhere from $0.49 to $2.00, an AI-handled conversation from about €0.25 to a quota tier, and some vendors still include the AI in the seat for a flat $18. This report compiles every major vendor's verified pricing as of July 2026, sorts the five models now competing, and costs the same support month across all of them, so the comparison is finally apples to apples.
Methodology
Every figure below was verified directly against the vendor's public pricing page or help centre, most recently at publication in July 2026, and each row carries its verification date. Where a vendor's pricing is usage-based, we state the meter and its unit, not a marketing summary of it. We sell one of the products listed (Drag), we say so where it appears, and the table treats us with the same units as everyone else. Corrections are welcome and dated updates will be noted here.
July 2026: initial publication; all rates verified against vendor sources at publication.
What AI support actually costs: the verified rates
| Vendor | AI pricing model | The verified rate | What the meter counts | Verified |
|---|---|---|---|---|
 Intercom (Fin) | Per resolution | $0.99 per resolution, 50 per month minimum | A conversation Fin resolves without a human | Jul 2026 |
 Zendesk | Per resolution + seat add-on | $1.50 to $2.00 per automated resolution, plus Copilot at $50 per agent per month | Resolutions by its AI agents; Copilot is the human-assist layer | Jul 2026 |
 Kayako | Pure per resolution (seats abolished) | $1.00 per AI resolution, no per-seat fees at all | Every resolution; humans are free, the AI is the meter | Jul 2026 |
 Parahelp | Per resolution | $1.25 per resolved ticket (Start), $1.00 (Scale), custom above 20K tickets/month | Resolved tickets, credit-based | Jul 2026 |
 eesel AI | Per task | From about $0.40 per task on plan allowances | Each AI action (an answer, a triage step), not whole resolutions | Jul 2026 |
 Gorgias | Per resolution | About $0.90 per automated resolution on plan tiers | Resolutions by its AI agent | Jul 2026 |
 Freshdesk (Freddy) | Hybrid: sessions + seat add-on | About $0.49 per Freddy session, plus Copilot at $29 per agent per month | Freddy self-service sessions; Copilot per assisted agent | Jul 2026 |
 Tidio (Lyro) | Per conversation, quota tiers | Lyro sold as an add-on with monthly conversation allowances; quota tiers step hard with volume | Each conversation Lyro handles | Jul 2026 |
 Trengo | Per conversation surcharge | €0.25 (annual) to €0.30 (monthly) per AI-handled conversation atop the plan bundle; 50 included monthly on Boost | AI-handled conversations, counted in 7-day windows | Jul 2026 |
 Crisp | Expiring credits | AI runs on credits included in workspace bundles ($45 to $295 flat); unused credits expire monthly | Credits drawn per AI action | Jul 2026 |
 Featurebase | Per resolution | $0.49 per AI resolution, billed on top of the plan price (no separate AI seat fee), the lowest published per-resolution rate | Resolutions by its AI | Jul 2026 |
 Salesforce (Agentforce) | Per conversation or per action | $2.00 per conversation, or Flex Credits at about $0.10 per action (introduced after customer pushback) | Conversations, or individual AI actions | Jul 2026 |
 HubSpot (Customer Agent) | Per conversation | $0.50 per conversation (50 HubSpot Credits at $0.01), billed whether or not the AI resolves it; platform tiers apply beneath | Conversations the agent handles, resolved or not | Jul 2026 |
 Fini | Per resolution | $0.89 per resolution beyond the 2,000 included on its Growth plan | Resolutions, with no AI seat fees | Jul 2026 |
 Lorikeet | Per resolution, customer-defined | About $0.80 per resolution (chat, email, SMS), $1.00 for voice; the customer holds veto on what counts; escalations never bill | Customer-confirmed resolutions | Jul 2026 |
| Sierra · Decagon · Ada | Outcome-based, unpublished | Per-resolution or outcome contracts negotiated in sales cycles; no public rates | Negotiated outcomes, vendor-defined | Jul 2026 |
 Drag | Flat, included | Six AI assists included in the seat from $18, unmetered in-app; automation via the API and MCP draws plan credits (2,500 on Plus, 10,000 on Pro) | Nothing for in-app drafts, tagging, sentiment, and summaries; credits for API-driven actions | Jul 2026 |
 Sortd | Announced | AI features listed on paid tiers with the fuller set marked launching soon; no usage pricing published | n/a | Jul 2026 |
The reference price the market keeps quoting each other is Fin's $0.99; everything else positions against it.
The five ways AI support bills, and how each one fails
Flat-included. The AI is in the seat price (Drag at $18; HubSpot partially, by tier). Fails by ceiling: if you need autonomous end-to-end resolution at massive scale, flat-included vendors may cap depth before metered ones do.
Per-resolution. You pay when the AI succeeds (Fin $0.99, Zendesk $1.50 to $2.00, Gorgias $0.90, Kayako $1.00, Featurebase $0.49). Fails by success: deflection improving from 30% to 60% doubles the AI line, and the invoice punishes exactly what you wanted.
Per-conversation. You pay when the AI participates, resolved or not (Trengo's surcharge, Lyro's quotas, HubSpot's per-conversation credits). Fails by ambiguity: a conversation is a fuzzier unit than a resolution, 7-day windows and quota steps decide your bill, and busy months spike it.
Hybrid seat-plus-meter. A per-agent add-on for the human-assist layer plus usage for the autonomous layer (Zendesk's $50 Copilot plus resolutions; Freshdesk's $29 plus sessions). Fails by opacity: two meters, one invoice, and nobody in the room can predict next quarter's number.
Expiring credits. Usage tokens that vanish monthly (Crisp). Fails by waste: quiet months forfeit what busy months needed.
The pattern across all five: the question is no longer what the software costs, it is who carries the risk of the AI working. Metered models put that risk on the customer; flat models put it on the vendor.
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The word "resolution" is doing all the work
A disclosure that doubles as a credential: we sell flat-included AI, so we have no stake in how anyone defines a resolution, which makes this the one section of this report no metered vendor could write neutrally. The published rates above span $0.49 to $2.00 for what is nominally the same unit, a four-fold spread that tells you the unit is not standardized. Four lenses decide what a rate actually costs:
What counts. The quiet industry default is assumed resolution: if the customer stops replying within some window, the ticket bills as resolved, including the customer who gave up and the one who got a wrong answer. A vendor counting confirmed end-to-end fixes will invoice a fraction of one counting silence, at the same sticker rate.
Who decides. Almost everywhere, the vendor defines the unit and controls the counter. The honest exceptions deserve naming: Lorikeet gives the customer veto over what counts, and its escalations never bill. Everyone else, ask for the definition in writing before comparing any two rates.
Do escalations bill. A conversation the AI touched and then handed to a human is a resolution on some meters and free on others. This single clause can move a bill by half.
Does a return visit bill twice. The customer who comes back tomorrow with the same issue is a new billable resolution on most meters. Independent benchmarking puts repeat-contact rates after AI handling at roughly 2.3x, which means deflection that fails can quietly raise total cost while looking cheap on the dashboard.
The practical rule this section reduces to: never compare sticker rates; compare definitions, and get them in writing. And a growing tier of agent vendors (Sierra, Decagon, Ada) publishes no rates at all, which makes the definition question unanswerable before a sales cycle: factor that cost in too.
What changed in 2026
Kayako abolished seats. The year's most radical move: no per-agent fees at all, $1 per AI resolution, humans free. The bet is that AI resolution volume is the business, and it made Kayako the first major desk priced entirely like labour.
Zendesk turned the meter on. The market's largest player moved its automation to outcome pricing ($1.50 to $2.00 per resolution) while retiring its legacy bots between August and December 2026, forcing thousands of teams to re-decide their AI stack this year, which is precisely why this report exists.
The consolidation accelerated, then detonated. Forethought was acquired by Zendesk in March; Cognigy went to NiCE; and in June, Salesforce signed a definitive agreement to acquire Intercom's Fin, the vendor whose $0.99 rate is this market's reference price, to fold it into Agentforce. Independent AI-support pricing is disappearing into the suites, and the reference price itself now has a new owner with a $2.00-per-conversation product to protect.
The analysts called the shakeout. Gartner expects over 40% of agentic AI projects to be cancelled by end of 2027 on cost and unclear value. Read against the table above: the cancellations will concentrate where the meter made value hardest to prove.
One support month, costed across the market
Take a five-person team whose AI handles 500 conversations a month, and hold everything else equal.
| Model | Vendor example | The month's AI bill | Plus |
|---|---|---|---|
| Flat-included | Drag | $0 extra (in-app assists) ($90 total for five seats with AI) | Nothing metered |
| Per-resolution, low rate | Featurebase | ~$245 | The plan price on top |
| Per-resolution, reference | Intercom Fin | ~$495 | Seats from $29 to $139 each |
| Per-resolution, premium | Zendesk | $750 to $1,000 | Suite seats from $55 + $50 Copilot per agent |
| Pure per-resolution | Kayako | ~$500 | Nothing: seats are free |
| Per-conversation | Trengo | ~€125 to €150 surcharge | The €299 bundle it sits on |
| Per-task | eesel | ~$200 (tasks, not resolutions: one ticket can be several tasks) | Plan base |
Two honest readings. Against a human agent's cost, even the premium meter is cheap: $1,000 for 500 resolutions undercuts any salary. Against flat-included, every meter is expensive: the same month costs $0 extra on a seat that already includes the AI. And one honest case for the meter: Kayako's pure model means a two-person team with huge deflection pays for outcomes and nothing else, which can genuinely beat five flat seats. The model question is really a forecast question: if you believe your AI volume will grow, buy the model whose bill does not grow with it. Run your own numbers in the cost calculator.
Cost comparator: your month, across the models
| Vendor | Model | This month |
|---|---|---|
| Drag* | Flat-included | $90 |
| Featurebase | Per resolution | $245 |
| HubSpot Customer Agent | Per conversation | $250 |
| Freshdesk (Freddy)* | Per session | $390 |
| Lorikeet | Per resolution | $400 |
| Trengo* | Per conversation | €424 |
| Fini* | Per resolution | $445 |
| Gorgias | Per resolution | $450 |
| Intercom Fin* | Per resolution | $495 |
| Kayako* | Per resolution | $500 |
| Parahelp* | Per resolution | $500 |
| Salesforce Agentforce | Per conversation | $1,000 |
| Zendesk* | Per resolution | $1,275 |
Estimates only, computed from the verified rates above. A resolution is treated as a conversation for comparability; rates are annual-billing; EUR is shown as published, not converted; minimums are applied (Fin's 50-per-month floor); rows marked * carry a footnote (hover to read). The unpublished tier (Sierra, Decagon, Ada) is not modelled. Confirm current pricing on each vendor's site.
Where this is heading
Four calls for the next 18 months, written down so we can be graded. One: the per-agent AI add-on (the $50 and $29 Copilot class) migrates into base seat prices by the end of 2027, the way mobile apps and APIs did, under pressure from flat-included competitors. Two: per-resolution rates compress toward $0.30 to $0.50 as resolution becomes a commodity and vendors compete on the meter. Three: at least one more major desk follows Kayako into seat abolition. Four: Gartner's 40% cancellation call lands hardest on hybrid seat-plus-meter stacks, where cost attribution is most opaque. And the wildcard worth logging: Gartner also projects GenAI cost per resolution to exceed $3 by 2030, surpassing offshore human rates, which would mean the meter's endgame is costing more than the labour it replaced. We will re-verify this table quarterly and mark what moved.
For which agent to actually pick, see our AI agents breakdown; for the reference-price vendor's cheaper rivals, the Fin AI alternatives roundup; and for the term itself, what an AI support agent is. The seat-abolition and meter-switch stories have their own breakdowns: Kayako, Trengo, Crisp, Intercom, and the wider Zendesk alternatives. Drag's own flat-included pricing is on the pricing page.
Frequently asked questions
How much does AI customer support cost in 2026?
Per AI-resolved ticket: $0.49 to $2.00 depending on vendor, with $0.99 (Intercom's Fin) as the market reference. Per AI conversation: roughly €0.25 to quota tiers. Or flat: some platforms include AI in the seat, from $18 per user, unmetered.
What is per-resolution pricing?
You pay each time the AI fully resolves a conversation without a human: published rates run from $0.49 (Featurebase) through $0.80 (Lorikeet), $0.89 (Fini), $0.99 (Fin), $1.00 (Kayako, with no seat fees at all), and $1.00 to $1.25 (Parahelp) to $1.50 to $2.00 (Zendesk). Gorgias prices the same model without publishing its rate. The bill scales with the AI's success, and the definition of resolution varies enough to make identical rates cost differently.
What is the cheapest way to add AI to customer support?
For most small teams, a flat-included seat (AI from $18 per user with no meter) is the lowest and most predictable total. At very high deflection volumes with tiny teams, a pure per-resolution model like Kayako's can win. The expensive mistake is a premium meter at moderate volume.
Is per-resolution AI pricing worth it?
It is the right risk trade when volume is uncertain: you pay only for outcomes. It becomes the wrong one as volume grows, because success raises the bill. Cost it at your busy month, not your average one.
What happened to Kayako's pricing?
In 2026 Kayako abolished per-seat pricing entirely: unlimited human agents free, $1.00 per AI resolution. It is the purest bet in the market that support AI is labour, priced like labour.
Why do vendors charge per AI resolution instead of a flat fee?
It aligns the vendor's revenue with delivered outcomes and lowers the entry price. The customer-side cost is unpredictability: the meter runs fastest precisely when the product works best.
What does Drag charge for AI?
Nothing beyond the seat: six assists (grounded drafts, automatic tagging, sentiment, summaries, compose help, and a co-pilot) are included from $18 per user, unmetered, with one precise caveat we hold ourselves to: automation driven through the API or MCP draws plan credits (2,500 on Plus, 10,000 on Pro). The in-app assists have no meter. All of it runs on a full support platform (shared inbox, boards, live chat, WhatsApp, help centre, MCP server). We are in the flat-included column of our own report and priced accordingly.
Where is AI support pricing heading?
Toward the meter in the short term and into the seat in the long term: outcome pricing is spreading now, but the add-on layer is already compressing, rates are falling, and the analysts expect a heavy shakeout of metered projects by 2027. The table above gets re-verified quarterly.
Nick Timms
Co-founder
