| Product | Ideal for | Price from | Free version | |
|---|---|---|---|---|
| companies wanting an AI agent in chat | See website | Free trial | Visit | |
| support teams already using Zendesk | See website | Free trial | Visit | |
| companies wanting an AI agent across channels | See website | No | Visit | |
| Salesforce teams wanting AI agents | See website | Free trial | Visit | |
| support teams wanting AI triage and answers | See website | No | Visit | |
| enterprises wanting AI agents across channels | See website | No | Visit | |
| companies wanting a custom AI support agent | See website | No | Visit |
We compared 7 options for this guide, looking at official feature pages, pricing pages, app store listings, privacy policies, and public reviews. We did not claim hands-on testing we did not do. Instead, we weighed what each product actually offers, what it costs, and where it falls short, so you can compare them on equal terms. The list below mixes well-known leaders with strong smaller options. Some readers will want the cheapest start, others will want depth or support, and the notes under each product say which group it suits best. Read the comparison table first for a quick view, then the product notes for the detail that matters to your choice.

Ideal for: companies wanting an AI agent in chat

Intercom Fin suits companies whose support lives in chat and who want an AI agent to resolve common questions first. That makes it a natural fit for companies wanting an AI agent in chat, where the daily workflow matters more than a long feature list. Its resolution focus is the draw, since it aims to close tickets, not just answer with a generic reply. Pricing is listed on the vendor site, so check the current plan before you commit. The catch is pricing, since costs link to resolutions and the full value sits inside Intercom.

Ideal for: support teams already using Zendesk

Zendesk AI suits support teams already on Zendesk who want AI agents and copilot help without a new platform. For support teams already using Zendesk, that combination of focus and simplicity is what keeps it on this list. Its placement is the strength, since AI works inside the ticketing flow agents already use. Pricing is listed on the vendor site, so check the current plan before you commit. The catch is platform, since teams outside Zendesk get less value.

Ideal for: companies wanting an AI agent across channels

Ada suits companies that want an AI agent across chat, voice, and messaging, built without heavy coding. It is a practical choice for companies wanting an AI agent across channels, especially when setup time is short. Its channel range is the draw, since one agent can serve several contact points. Pricing is listed on the vendor site, so check the current plan before you commit. The catch is content, since good answers depend on good help content behind the agent.

Ideal for: Salesforce teams wanting AI agents
Salesforce Agentforce suits Salesforce teams that want AI agents working with CRM data and service workflows. That is why it earns a place here for Salesforce teams wanting AI agents, even with the limits noted below. Its CRM link is the strength, since agents can use customer records to answer with context. Pricing is listed on the vendor site, so check the current plan before you commit. The catch is platform, since value depends on being a Salesforce shop.

Ideal for: support teams wanting AI triage and answers
Forethought suits support teams that want AI triage and answers layered onto Zendesk or Salesforce. For support teams wanting AI triage and answers, the balance of price and features is hard to beat in this group. Its triage is the draw, since tickets are sorted and answered with context from past cases. Pricing is listed on the vendor site, so check the current plan before you commit. The catch is data, since results depend on the quality of existing support content.

Ideal for: enterprises wanting AI agents across channels
Kore.ai suits enterprises that want AI agents across service channels with strong platform controls. It deserves a close look from enterprises wanting AI agents across channels, provided the limits below are acceptable. Its enterprise depth is the strength, since voice, chat, and workflows are governed in one platform. Pricing is listed on the vendor site, so check the current plan before you commit. The catch is weight, since smaller teams may find it more than they need.

Ideal for: companies wanting a custom AI support agent
Decagon suits companies that want a custom AI support agent tuned to their systems and workflows. That profile fits companies wanting a custom AI support agent well, as long as the trade-offs below are clear. Its customization is the draw, since agents are shaped around a company's tools and data. Pricing is listed on the vendor site, so check the current plan before you commit. The catch is youth, since the company is newer and pricing is by quote.
We started from the topic itself and kept only products that truly fit it, exist, and work in October 2026. We checked each product homepage to confirm it loads and belongs to that product, and we read official feature and pricing pages rather than relying on review roundups alone. Where a price could not be verified from the vendor site, we wrote See website instead of guessing a number. We then compared the shortlist on fit for the stated use, price and free tier, ease of setup, and honest weaknesses. A product with a strong feature set but a poor fit for ordinary readers was left out, and we did not pad any list with products that only partly match the topic.
Start with the job you need done, not the longest feature list. A product that covers your main task well beats a larger platform whose extra features you never open, and a cheaper plan that fits your workflow beats a premium tier bought for status. Write down your must-have features before you compare, and use that list to judge each option below. Budget and total cost. Compare the starting price with what you will actually pay after a few months, including per-user fees, add-ons, and renewal prices. Free plans are useful for testing, but check their limits on users, storage, or usage before you build a workflow around them. Fit and switching cost. Check whether the product works with the tools you already use, and whether your data can be exported if you leave. A short trial answers both questions better than a sales page, so test the exact task you will do every week, not just the demo flow. Support and trust. Read the privacy policy and support options before you commit, especially when the product handles money, health, children, or private data. Public reviews help here, but weigh recent reviews more than old ones, since products and prices change. Once you have a shortlist of two or three, test them side by side for a few days. The right choice usually becomes clear once you use it for real work, and a careful trial now saves a painful switch later.
For most readers, Intercom Fin is our pick, because it covers the core needs with the fewest compromises. That said, the best choice depends on your budget and workflow, so readers with a tight budget or a special requirement may prefer one of the other options in this list.
None of our picks offers a fully free plan, but several offer free trials, including Intercom Fin. A trial is the best way to test fit before paying.
Costs vary widely across this list, from free plans to quote-based enterprise pricing. Check the starting price in the comparison table, then read the vendor pricing page for the plan that matches your team size, since per-user fees and add-ons change the total.
Zendesk AI is a good starting point for beginners or small teams, since it is easier to set up than the larger platforms here. If budget is the main concern, start with one of the free options and upgrade only when you hit a limit.
We compared official feature pages, pricing pages, app store listings, privacy policies, and public reviews, and we checked each product homepage to confirm it belongs to that product. We kept only products that exist, work in October 2026, and truly fit the topic.
In most cases, yes, but switching costs time, especially if your data lives inside one tool. Before you commit, check whether you can export your data, and keep a backup of anything important so a future move stays possible.