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Top 10 AI Customer Support Agent Software for 2026 (Outcome-Based Pricing Options Included)

Top 10 AI Customer Support Agent Software for 2026 (Outcome-Based Pricing Options Included)

Key takeaways

  • AI customer support agents are moving to outcome-based pricing: you pay per resolution, not per seat.
  • Published per-resolution rates range from about $0.50 to $2.00, but definitions of a "resolution" differ.
  • Enterprise-focused agents like Sierra, Decagon and Ada price on request.
  • Compare the total cost: platform fees, resolution fees and how escalations are counted.

AI agents now resolve a large share of routine support requests without a human. As they have improved, pricing has changed with them. Instead of paying per agent seat, many vendors now charge per resolution, so you pay when the AI actually solves a customer's problem.

Here are ten AI customer support agents worth shortlisting in 2026, with their pricing models. Published rates are list or reported prices at the time of writing; they change often and usually sit on top of a platform subscription, so confirm with each vendor.

Outcome-based pricing, explained

  • Per resolution: you pay when the AI resolves a conversation without handing it to a human.
  • Per conversation: you pay for every conversation the AI handles, resolved or not.
  • Credits or sessions: you buy a bundle of usage up front.
  • Custom outcome contracts: pricing negotiated around agreed results, common with enterprise vendors.

The fine print matters. Check how each vendor defines a resolution, whether a customer returning with the same issue counts again, and how long the vendor waits before counting a conversation as resolved.

Quick comparison

ToolBest forPricing model (reported)
FinTeams wanting a proven, high-resolution agentAbout $0.99 per resolution
Zendesk AI agentsExisting Zendesk customersAbout $1.50–$2.00 per automated resolution
HubSpot Breeze Customer AgentHubSpot customersAbout $0.50 per resolved conversation
Salesforce AgentforceSalesforce-centric enterprisesPer conversation or credits
SierraLarge consumer and enterprise brandsCustom, outcome-based
DecagonFast-growing companies wanting a custom agentCustom
AdaEnterprise multichannel supportQuote-based
GorgiasEcommerce brands on ShopifyPer resolution, varies by plan
LorikeetComplex, regulated supportPer resolution
Freshworks Freddy AI AgentFreshdesk customersSession-based bundles

1. Fin

Best for: teams that want one of the most widely used AI support agents, with simple outcome pricing.

Fin, the AI agent from the company formerly known as Intercom (which renamed itself Fin in 2026), lists pricing at about $0.99 per resolution, with no charge for conversations handed to humans. Salesforce agreed in June 2026 to acquire Fin for about $3.6 billion; the deal was pending regulatory approval at the time of writing.

2. Zendesk AI agents

Best for: companies already running support on Zendesk.

Zendesk charges for automated resolutions, reported at roughly $1.50 per resolution on committed volume and around $2.00 pay-as-you-go, on top of its platform plans. Its deep integration with Zendesk ticketing makes it a natural first option for existing customers.

3. HubSpot Breeze Customer Agent

Best for: teams using HubSpot's Service Hub.

HubSpot reportedly moved its Breeze Customer Agent to about $0.50 per resolved conversation in April 2026, from $1 per handled conversation, making it one of the lowest published rates for teams already on HubSpot.

4. Salesforce Agentforce

Best for: enterprises running service operations on Salesforce.

Agentforce uses consumption pricing, reported as per-conversation fees or prepaid credits, rather than pure per-resolution billing. Its strength is access to Salesforce data and workflows; model your expected volume carefully.

5. Sierra

Best for: large brands that want a highly customised agent experience.

Sierra is known for outcome-based pricing negotiated around agreed results. Pricing is not published and reported contract sizes vary widely, so it is typically an enterprise purchase.

6. Decagon

Best for: fast-growing companies wanting a tailored AI agent.

Decagon offers custom pricing, typically combining a platform fee with usage-based charges. It is often shortlisted by high-growth technology companies.

7. Ada

Best for: enterprise teams supporting customers across many channels and languages.

Ada provides an AI agent for multichannel support with quote-based pricing, usually tied to volume and contract scope.

8. Gorgias

Best for: ecommerce brands, especially on Shopify.

Gorgias offers AI support priced per resolution, with the rate reported to vary by plan tier. Its tight integration with ecommerce order data suits online retailers.

9. Lorikeet

Best for: complex or regulated support, such as fintech and healthcare.

Lorikeet focuses on handling multi-step support workflows and prices per resolution, with published chat resolution rates reported below $1.

10. Freshworks Freddy AI Agent

Best for: teams using Freshdesk.

Freshworks sells Freddy AI Agent usage in session-based bundles on top of Freshdesk plans, which makes costs predictable for teams that prefer prepaid capacity.

How to choose

  1. Start with your help desk. The native agent for your existing platform is usually fastest to deploy.
  2. Model total cost. Multiply expected resolutions by the rate, then add platform fees and any minimums.
  3. Test resolution quality. Run a pilot on real conversations and check customer satisfaction, not just resolution counts.
  4. Read the resolution definition. It is the single biggest driver of what you actually pay.

FAQ

What is outcome-based pricing for AI support?

Pricing where you pay for results, usually a resolved conversation, rather than for seats or every interaction. It aligns cost with value, but depends on a clear definition of a resolution.

Is per-resolution pricing cheaper than seats?

Often, for high volumes of routine questions. For complex support with many escalations, compare carefully, since platform fees and seat costs for human agents still apply.

Can AI agents replace a support team?

They can handle a large share of routine requests, but complex, sensitive or high-value conversations still benefit from people. Most teams use AI to absorb volume and free humans for harder work.

Using support data to reduce churn and grow accounts? See how our lifecycle marketing team connects support, onboarding and retention.

Pricing details are list or reported figures from vendor pages and public analyses at the time of writing, and change frequently. Confirm current pricing with each vendor. Rapid North has no commercial relationship with the vendors listed.

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