AI Customer Support Agents: Pricing Models and What They Cost

Pricing is the hardest part of comparing AI support agents, because vendors do not charge for the same thing. This guide lays out the models in use and the prices each vendor lists publicly. Prices were read from the vendors' own pricing pages; each agent's page shows the date it was last checked.

The four pricing models

Per resolution (or outcome). You pay when the agent resolves a conversation without a person. Cost follows the value delivered, which makes the business case simple: compare the price with what a human-handled ticket costs you. The catch is in the definition of "resolved". Some vendors count a conversation as resolved when the customer does not reply, so read that definition before comparing two per-resolution prices.

Per conversation or interaction. You pay for every conversation the agent takes part in, resolved or not. Unit prices are lower than per-resolution prices, and you carry the risk of the agent not resolving the issue.

Credits or message quotas. A monthly plan includes a number of AI messages or credits, with a charge for going over. Predictable for small sites, awkward to compare because each vendor's credit buys a different amount of work.

Seat or platform fee, with the agent as an add-on. Help desk suites often charge per human agent seat and bill the AI agent on top by usage. If you are already on the suite this is the least disruptive route; if not, you are buying a help desk as well.

Enterprise platforms mostly do not publish prices at all and quote per contract.

Listed unit prices

Vendors that publish a price per unit of work, highest first. The units are not equivalent, so the last column matters as much as the number.

Listed monthly entry prices

The cheapest listed plan that includes the AI agent. What a plan includes varies widely; the pricing summary on each agent's page has the detail.

Quote only

These vendors do not list prices and sell through a sales process: Forethought, Decagon, Netomi, kapa.ai, Zowie, Maven AGI, Sierra, Ada, Kustomer AI, NiCE Cognigy.

What vendors claim about performance

There is no independent public benchmark of support agents on real customer conversations, so the only numbers available are the ones vendors publish about themselves. They are listed here as claims. We have not tested them, they are not measured the same way, and they describe each vendor's own customer base.

• Forethought: Vendor says it delivers a 55% average reduction in first response time and up to a 98% resolution rate (forethought.ai homepage).
• Decagon: Vendor says customer case studies show 70% chat and voice resolution at Chime and an 80% deflection rate at Duolingo (decagon.ai homepage); no platform-wide average is published.
• CustomGPT.ai: Vendor says the assistant can handle 93% of support and research questions (customgpt.ai homepage).
• Lyro: Vendor says Lyro resolves 67% of conversations instantly (tidio.com homepage).
• Fin: Vendor says Fin customers average a 76% resolution rate across 12,000+ businesses (fin.ai homepage).
• Gorgias AI Agent: Vendor says its AI Agent auto-resolves 60% of tickets (gorgias.com AI Agent page).
• Hugo: Vendor says Hugo can resolve up to 60% of support tickets (hugo.ai homepage).
• DocsBot AI: Vendor says its average customer AI agent deflection rate is 75% (docsbot.ai pricing page savings calculator).
• Maven AGI: Vendor cites customer results on its homepage, such as up to 93% autonomous resolution at Mastermind within 6 weeks; no platform-wide average is published.
• Ada: Vendor says Ada reaches an 84% automated resolution rate (ada.cx homepage).
• Parloa: Vendor says teams see 70% lower cost per contact and 3x faster time to resolution (parloa.com homepage).
• Agentforce for Service: Vendor says Agentforce resolves 85% of Salesforce's own customer service requests (salesforce.com Agentforce for Service page).
• Compass: Vendor says Compass resolves 73% of requests on average (helpscout.com Agent page).
• Freddy AI Agent: Vendor says Freddy AI delivers 66% ticket deflection and a 77% decrease in resolution time (Freshworks AI platform page).
• HubSpot Customer Agent: Vendor says Customer Agent users average a 70% resolution rate, with top teams reaching 90% (HubSpot Customer Agent product page).
• Zendesk AI agents: Vendor says its AI agents can resolve up to 80% of customer interactions (zendesk.com AI agents page).

Treat a quoted resolution rate as a ceiling to test against, and measure your own during a trial.

Working out what it will cost you

1. Count your conversations. Take a typical month of support volume and split it into simple repeat questions, questions that need a lookup or action in your systems, and everything else.
2. Estimate what the agent can resolve. Simple repeat questions are the realistic starting point. Actions such as refunds or account changes need integrations to be set up first.
3. Apply each vendor's unit. For per-resolution pricing multiply resolved conversations by the price; for per-conversation pricing multiply all AI conversations; for credits find how many a typical conversation uses.
4. Add the fixed part. Seats, platform fee, minimum commitments and onboarding.
5. Compare with the cost of a human-handled ticket. If the agent's cost per resolved conversation is not clearly below it, the case rests on speed and availability instead of savings.

Questions to ask before signing

• How exactly is a resolution defined, and can a conversation be billed if the customer simply leaves?
• Is there a monthly minimum or an annual commitment?
• Which channels are included: chat, email, voice, messaging apps?
• Does it work with the help desk you already use, or does it require moving to the vendor's own?
• Which actions can it take in your systems, and what does each integration cost to set up?
• Can you see every answer it gave and the sources it used?
• What happens to your data, and can it be excluded from model training?

Open-source options

If you want control over data and cost, several open-source help desks and bot builders can be self-hosted and pointed at the model of your choice: Rasa, Chatwoot Captain, Botpress. You trade the per-resolution fee for the work of running the software and the model bill.

The full list, with adoption data where it exists, is on the customer support agents page.