Independent Research · Unvarnished Reviews
Unvarnished Reviews Research
Every platform here markets "outcome-based pricing" as the industry's answer to AI cost anxiety: Pay for results, not access. The pitch is appealing. The execution is the problem, because "resolution," "conversation," and "credit-consuming action" are four different units of work priced by four different vendors, none of them comparable to the others, and at least two of them have already changed definition mid-flight. Before you can compare cost, you have to reverse-engineer what you're being charged for. That reverse-engineering is this report.
On June 15, 2026, Salesforce signed a definitive agreement to acquire Fin, formerly known as Intercom, for approximately $3.6 billion in cash. Fin had rebranded from Intercom to Fin just one month earlier, in May 2026. The deal is signed, not closed; Salesforce expects it to close in the fourth quarter of its fiscal 2027, subject to regulatory approval, and until then Fin continues operating independently. Once closed, Salesforce plans to fold Fin's AI agent technology, built on its proprietary model called Apex, into Agentforce.
This changes how two of the four platforms in this comparison should be read. Fin's documented resolution rate (roughly 76% of support volume handled without a human) is higher than Agentforce's Help Agent (roughly 62%), which is a meaningful part of why Salesforce is buying it rather than out-competing it. Organizations evaluating Fin and Agentforce as separate, competing options are, in practical terms, choosing between two products that are becoming the same company. If your evaluation timeline extends past Q4 of Salesforce's FY2027, get explicit answers from Salesforce on Fin's pricing, roadmap, and standalone availability post-close before signing either platform.
| Platform | G2 Rating | Reviews (G2) | Primary Market Segment |
|---|---|---|---|
| Fin (formerly Intercom) | 4.5 / 5 | ~3,815-3,818 | Small-Business (58.5% of reviews) |
| HubSpot Service Hub (Breeze) | 4.4 / 5 | ~2,856-2,896 | Small-Business (59.6% of reviews) |
| Salesforce Agentforce (Service) | 4.4 / 5 | ~7,195-7,300 | Mid-Market and Enterprise, 41% each |
| Zendesk for Customer Service | 4.3 / 5 | ~6,786-6,787 | Mid-Market (45.6% of reviews) |
Agentforce carries the largest review base of the four by a wide margin, consistent with Salesforce's broader CRM install base. Fin's rating is the highest, and the pending acquisition means that rating, and the product it describes, may not exist in its current independent form for long.
On April 2, 2026, HubSpot emailed customers a subject line that undersold what was coming: "Changes coming to Breeze prospecting agent on April 14." Twelve days later, both AI agents, Customer Agent and Prospecting Agent, moved to a new pricing model, for every customer, new and existing, with no grandfathering.
The new rates: Customer Agent dropped from $1.00 per conversation to $0.50 per resolved conversation. Prospecting Agent moved from a flat monthly charge per enrolled contact to $1.00 per qualified lead recommended for outreach. HubSpot's Chief Customer Officer, Jon Dick, framed the change plainly: "You pay when it works, full stop." The company's announcement put it as a principle: "AI should be priced on the value it delivers, not the compute it consumes."
The included credit allowances stayed identical across tiers, 500 credits on Starter, 3,000 on Professional, 5,000 on Enterprise, which means the same allowance now covers roughly twice as many outcomes as it did under the old per-conversation model, since a resolution costs half what a conversation used to. On paper, most customers' bills fall.
The catch is in the word "resolved." Per independent analysis of the rollout, the headline 50% cut is real for straightforward cases, but HubSpot's definition of what counts as "resolved" narrows the charge base in ways that don't universally favor the customer: Long-running email threads and multi-issue conversations can, in specific scenarios, quietly cost more under the new model than the old one. The rate is 50 credits per resolution, which at HubSpot's $9.00 per 1,000 credits works out to roughly $0.45 to $0.50 per resolution depending on overage tier.
Intercom's Fin has run outcome-based pricing since before this was a trend, and reporting puts it past $100 million in annual recurring revenue on that model as of this year, evidence that outcome-based pricing can work at scale when a vendor commits to one model instead of hedging across several. Intercom's help center lists $0.99 per outcome on top of a $49 monthly base plan that includes 50 resolutions; an outcome is a confirmed resolution or a completed handoff Procedure. Intercom's structure is a hybrid: The core helpdesk seats are priced per agent per month in the traditional way, and Fin's AI resolutions are billed separately, on top, at the per-outcome rate. Of the four vendors here, Intercom's model is the least confusing to explain, which is itself notable, given the field.
Zendesk's pricing model changed structurally in January 2026 and again in May 2026, and the two changes point in different directions for the buyer.
In January 2026, Zendesk began auto-billing resolution overages above committed volume, uncapped, with no grace period and no prior-month warning, which independent teardowns describe as the most-cited billing surprise in 2026 customer reviews. Then, on May 18, 2026, Zendesk restructured "automated resolutions" into three tiers, per its help documentation: Assisted Escalations and Contained Resolutions are now free and don't draw from any allowance; only Verified Resolutions, cases fully closed by AI with no human escalation, count against the billed allotment. Zendesk frames this as tiered pricing that "reflects the value the AI agent provided." A less generous read: The billing unit itself moved twice in less than half a year, and Zendesk does not publish the resulting overage rate. Third-party teardowns report figures ranging from $1.50 per Verified Resolution on committed volume up to $2.00 pay-as-you-go, a real spread, and one buyers should get in writing rather than assume.
Two more charges stack on top: A $50-per-agent-per-month Copilot add-on (the assistive, human-facing layer, separate from the autonomous resolution billing), and the base Suite subscription itself, list-priced $19 to $115 per agent per month across four tiers, with the top tier now sitting behind a "Contact Sales" button rather than a published price. One independent teardown modeled a 10-agent Suite Professional team with Copilot enabled at moderate AI volume landing around $10,650 per month, roughly 8x the base subscription. The AI layer, not the seats, is where the money goes now.
Agentforce's pricing history is the clearest evidence in this report that outcome-based AI pricing is still being invented in real time, not executed from a stable playbook.
Model one, launched late 2024: A flat $2 per conversation, regardless of how many backend actions a conversation required. It flopped commercially, of roughly 5,000 Agentforce deals in the model's first two quarters, only 3,000 converted to paying customers, per industry reporting. The stated reason: Buyers couldn't model their costs, since a single customer query could trigger eight or more backend processes under one "conversation" charge, and the flat rate priced out smaller organizations without large AI budgets outright.
Model two, May 2025: Flex Credits, $500 per 100,000 credits (roughly $0.005 per credit), with a standard agent action consuming 20 credits (~$0.10) and a voice action 30 credits (~$0.15). More granular and closer to actual work performed, but still consumption-based, which independent analysis notes is still fundamentally hard to forecast for enterprise procurement, every record update, query, or retrieval step burns credits, so a single user request can consume several actions without a clean way to predict how many in advance.
Model three, late 2025: Per-user licensing under the Agentic Enterprise License Agreement, $125+ per user per month, with an Agentforce 1 Edition at $550 per user per month (annual commitment) bundling 1 million Flex Credits per year. This gave CFOs a number they could budget and CIOs a contract shape they understood.
Salesforce did not retire the earlier models when it introduced the third, all three now run simultaneously, though Flex Credits and per-conversation billing cannot both be active in the same org; a buyer must choose one consumption model, then can layer per-user licensing on top. The multi-model approach appears to be working better than any single model alone: Agentforce reached $540 million in ARR by Q3 FY2026, up 330% year-over-year, with 18,500 total deals closed and 9,500 paid, though that also means roughly half of Agentforce deals still don't convert to paying usage, and only about 8% of Salesforce's 150,000+ customer base has adopted the product so far. Worth noting separately: Advanced Agentforce deployments commonly require Data Cloud (rebranded Data 360), which independent analysis puts at pushing real first-year costs into the $150,000 to $600,000 range for mid-market teams, a cost most per-action or per-conversation math never surfaces.
One more naming wrinkle for anyone comparing quotes: Salesforce Sales Cloud itself has been rebranded "Agentforce Sales" in current product listings, the same kind of quiet rename that's currently confusing CNAPP buyers over Prisma Cloud (see our companion report on Wiz vs. Orca Security vs. Prisma Cloud). If your last quote or comparison predates the rename, confirm you're pricing the current product.
It is strongest inside the Zendesk ticketing environment, and since May 18, 2026 only Verified Resolutions count against the billed allotment, while Assisted Escalations and Contained Resolutions are free.
Native basic ticket routing is faster to set up than full autonomous resolution.
The billing unit was redefined twice in five months, and uncapped overage auto-billing began in January 2026, the most-cited billing surprise in 2026 reviews.
The overage rate is unpublished, with third-party figures from $1.20 to $2.00 per Verified Resolution, and one modeled 10-agent team landed near $10,650 a month, roughly eight times the base subscription.
It has the simplest pricing structure of the four, an outcome-based model at $0.99 per outcome, past $100 million in annual recurring revenue, and a reported resolution rate near 76%.
It is the fastest to deploy, commonly under an hour, and works as a standalone layer across Zendesk, Salesforce, HubSpot and Freshworks.
Salesforce signed a $3.6 billion agreement on June 15, 2026 to acquire Fin, so standalone pricing, roadmap and availability after the close are uncertain.
It is not natively built into Salesforce Service Cloud case management.
The April 14, 2026 change cut the Customer Agent to $0.50 per resolved conversation, and included credit allowances now cover about twice as many outcomes.
It carries lower administrative overhead than Zendesk or Agentforce, which suits small and mid-sized teams on HubSpot.
The change arrived with 12 days' notice for every customer, with no grandfathering.
The definition of resolved can make long email threads and multi-issue conversations cost more than before, and it is tightly coupled to the HubSpot platform.
It has the deepest native integration with Salesforce Case management, Data Cloud and the Einstein Trust Layer, and reached $540 million in annual recurring revenue by Q3 of fiscal 2026.
The per-user model gives finance a number it can budget.
Three pricing models run at once, and the same workload can price roughly five times apart across them, while roughly half of deals still do not convert to paying usage.
It is the most involved to implement, needing dedicated Salesforce admins, and Data Cloud can push first-year costs to $150,000 to $600,000 for mid-market teams.
Pricing re-checked October 2026. Zendesk does not publish its resolution overage rate, so the per-resolution range is a third-party estimate; Copilot ($50 per agent) and the HubSpot and Intercom unit rates are published.
A responsible comparison would show one total per vendor for an identical workload. We can't do that in good faith here, and saying so is itself the finding. "Resolution," "conversation," and "credit-consuming action" are not interchangeable units, a HubSpot resolution and a Zendesk Verified Resolution may represent very different amounts of underlying work, and a Salesforce "conversation" under the legacy model could contain what another vendor would bill as four or five separate actions. Below is what each vendor's reported unit price computes to under one illustrative, clearly labeled workload: 5,000 AI-handled customer interactions per month, support-side only (Salesforce's Prospecting-side and Data Cloud costs are excluded from this comparison; they don't have an equivalent on the other three platforms).
| Platform | Reported Unit Rate | Illustrative Monthly Cost (5,000 interactions) | Illustrative Annual Cost |
|---|---|---|---|
| HubSpot Breeze Customer Agent | $0.50 per resolved conversation | $2,500 | $30,000 |
| Intercom Fin | $0.99 per outcome | $4,950 | $59,400 |
| Zendesk (Verified Resolutions + Copilot, 100-agent team) | ~$1.50 to $2.00 per resolution + $50/agent Copilot | ~$12,500 to $15,000 | ~$150,000 to $180,000 |
| Salesforce Agentforce, legacy per-conversation | $2.00 per conversation | $10,000 | $120,000 |
| Salesforce Agentforce, Flex Credits (illustrative, ~4 actions/conversation) | ~$0.40 per conversation equivalent | ~$2,000 | ~$24,000 |
Read the Salesforce rows together, not separately: The same workload can price out roughly 5x apart depending purely on which of Salesforce's three models you land on and how action-dense your actual conversations turn out to be, a spread no other vendor in this report produces internally. That unpredictability, not the sticker price of any one row, is the finding to take into a negotiation.
Pricing model volatility isn't the only axis that matters here; how long each platform takes to reach production and how much dedicated administration it needs afterward vary just as sharply across these four, and the two axes are related, the platforms with the most configurable pricing tend to be the platforms with the most configuration overall.
| Dimension | Zendesk AI Agents | Intercom Fin | HubSpot Breeze | Salesforce Agentforce |
|---|---|---|---|---|
| Implementation | Independently documented at weeks to months for equivalent automation depth to Fin; native basic ticket routing is faster, but full autonomous resolution takes longer to configure | Independently documented as the fastest of the four: commonly under an hour for a working deployment, days rather than months for more complex setups, no specialized admin required | Positioned and priced for small and mid-sized teams to avoid enterprise-grade deployment complexity; consistent with HubSpot's broader self-serve product philosophy | Independently and repeatedly documented as the most involved of the four: a multi-layered enterprise infrastructure project, commonly requiring Data Cloud setup, data readiness work, and governance planning before go-live |
| Admin dependency | Higher than Fin for full autonomous resolution; lower for basic native ticket routing already built into the platform | Lowest of the four per independent sources: Connect a knowledge base, configure a handful of topics, and Fin starts resolving tickets without specialized administrative headcount | Lower administrative overhead than Zendesk or Agentforce, consistent with its SMB-first positioning, though it lacks Fin's fully self-serve, no-admin model | Highest of the four: Independent sources consistently describe a need for dedicated Salesforce admin expertise, with prompt templates, agent topics, agent actions, and Flow integration all requiring hands-on technical configuration |
| Cross-platform flexibility | Strongest inside Zendesk's ticketing environment; integration outside that ecosystem requires Zendesk's Sunshine Conversations API or webhooks | Works as a standalone AI layer across Zendesk, Salesforce, HubSpot, and Freshworks, the most platform-agnostic of the four, though it isn't natively built into Salesforce Service Cloud case management | Tightly coupled to HubSpot's CRM and ticketing; strongest for organizations already standardized on HubSpot's platform | Deepest native integration with Salesforce Case management, Data Cloud, and the Einstein Trust Layer for organizations already committed to Salesforce; that same depth is a lock-in cost for anyone not already there |
The pattern across both pricing and complexity is the same: Agentforce and Zendesk both ask for more upfront investment, configuration, admin time, integration work, in exchange for deeper native ties to platforms many enterprises already run. Fin trades that depth for speed and platform-agnosticism, a real advantage for teams not already committed to one ecosystem, though it means less native case-management depth for Salesforce-committed organizations. Breeze occupies the SMB middle ground deliberately: less configurable than Agentforce, but priced and built for teams that don't want an infrastructure project to get AI-assisted support running.
Every finding below is independently documented and material enough to influence a purchasing decision.
Zendesk and HubSpot
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Salesforce Agentforce and Fin
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Every vendor
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Choose HubSpot Breeze if: You're already on HubSpot's platform and your support conversations are largely straightforward, the per-resolution rate is competitive and the credit allowance now stretches further. Get HubSpot's exact definition of "resolved" in writing before you model savings against the old per-conversation bill; the scenarios where it costs more are the ones your CFO will ask about later.
Choose Intercom Fin if: You want the simplest pricing structure to explain internally and forecast against. It's the one model in this report that hasn't changed shape, and $100M+ ARR on a single pricing model is real evidence it works at scale.
Choose Zendesk if: You're already committed to the Zendesk platform and can negotiate a committed-volume rate and a spend cap into your contract. Do not accept the pay-as-you-go, uncapped default if your resolution volume is likely to grow, that's precisely the scenario the January 2026 auto-billing change was built to monetize.
Choose Salesforce Agentforce if: You want the per-user AELA model for budget predictability, and you have Salesforce administrators on staff to manage the underlying complexity. Avoid the legacy per-conversation model and the pure Flex Credits model for anything except a bounded pilot, both are the versions Salesforce's commercial history shows customers rejecting at scale.
Everyone: Before signing, ask each vendor for a real usage report from a comparable existing customer, not a projection. Every model in this report is complex enough that the vendor's sales estimate and your actual bill can diverge significantly once real conversation complexity enters the picture.
Design decides what you are buying. Zendesk, Intercom Fin, HubSpot Breeze and Salesforce Agentforce each bill AI customer service on a different unit of work: Verified Resolutions, resolutions, resolved conversations and credits or per-user licenses.
Audience decides which one fits. Fin fits teams that want the simplest model and fastest deployment, Breeze fits HubSpot-based small and mid-sized teams, Zendesk fits committed Zendesk customers who can negotiate caps, and Agentforce fits Salesforce shops with admin capacity.
Price depends on the plan and the unit. For 5,000 AI-handled interactions a month, illustrative annual cost is about $30,000 on HubSpot Breeze, $59,400 on Fin, about $150,000 to $180,000 on Zendesk with Copilot for a 100-agent team, and $24,000 to $120,000 on Agentforce depending on which of its models applies. The units differ, so treat these as illustrations rather than matched totals.
Choose by situation:
Outcome-based AI pricing is being sold as the mature, principled alternative to per-seat SaaS, pay for value, not access. The principle is sound. The industry executing it is not yet stable: Two of the four vendors here have changed their pricing model's definition within the past six months, and Salesforce is running three models at once because none of them worked alone. None of that makes outcome-based pricing wrong. It makes it a category where the contract terms matter more than the headline rate, and where "we'll get back to you with usage-based numbers" is not an answer to accept without a comparable customer's real invoice behind it.
Free trials and test-drives. Zendesk offers a 14-day free trial with no card for up to five members, with a one-time extension and basic AI included. Intercom offers a 14-day trial with no card that includes your chosen plan plus Fin and its add-ons, and self-serve accounts add a card to continue. Fin is priced at $0.99 per outcome. Salesforce offers trials of Service Cloud and Starter Suite, typically 14 to 30 days, with no standalone Agentforce trial. For HubSpot's Customer Agent, ask for a pilot with a written resolution target. Because pricing here depends on resolution and conversation volume, run the trial on a week of real tickets and price the outcome count it produces.