I tested a dozen tools to find the best AI agent for customer support in 2025

Let’s be honest, customer support is a tough gig right now. Ticket queues are overflowing, customers expect answers yesterday, and the AI market is a jungle of buzzwords and slick demos. Every company out there is promising to revolutionize your workflow, but who’s actually delivering?

I was tired of wondering. So, I rolled up my sleeves and spent weeks testing more than a dozen of these AI support agents. I wanted to separate the genuinely useful tools from the marketing fluff. My mission was simple: find the platforms that actually solve problems, save my team time, and feel like a real teammate, not another piece of software to manage.

This list is what I came with. It's a no-nonsense guide to the tools that are actually worth your time.

Defining an AI agent for customer support

First, let's get one thing straight: an AI agent is not just a fancy chatbot. A simple fancy chatbot might be able to spit out answers from an FAQ page, but a real AI agent is a whole different beast.

Think of it as a smart assistant that plugs right into the tools you already use, like Zendesk or Freshdesk. It learns from your company's real knowledge base, all the past conversations, internal docs, and help center articles, and can actually do things. It can tag tickets, look up a customer’s order status, or figure out when a problem is too tricky and needs to be handed off to a human. The point isn't just to deflect tickets; it's to resolve them and take the repetitive grunt work off your team's plate.

How I picked the best AI agent for customer support

To put this list together, I ignored the flashy features and focused on what really matters when you're in the support trenches. Here’s what I was looking for:

• Easy setup and integration. How fast can I get this thing up and running without needing a developer? The best tools should feel like a simple app you connect to your helpdesk, not a six-month migration project that means throwing out the tools you already use.

• Flexible knowledge sources. A smart AI needs to learn from everything your team knows. I looked for platforms that could pull information from your past ticket history, private Google Docs, and internal Confluence pages, not just a public URL. The more it knows, the smarter it is.

• Real customization and control. I wanted to be in the driver's seat. Can I tell the AI exactly which tickets to handle? Can I tweak its tone of voice? Can I set rules for when it needs to call for help? I gave extra points to tools that offered this level of control.

• Risk-free testing. How do you know if an AI will actually work for your customers before you unleash it on them? The best platforms let you simulate how the AI would perform on your past tickets, giving you a clear picture of its potential impact without any launch-day drama.

• Transparent pricing. Is the pricing straightforward, or am I going to get a surprise bill at the end of the month? I searched for clear subscription plans and was very skeptical of per-resolution fees that basically punish you for being successful.

Comparison of the top AI agents for customer support

Tool	Best For	Key Integrations	Pricing Model	Standout Feature
eesel AI	Teams wanting powerful, self-serve AI without replacing their helpdesk.	Zendesk, Freshdesk, Intercom, Gorgias, Slack, Confluence, GDocs	Flat-rate subscription	Risk-free simulation on past tickets
Zendesk AI	Companies already deep in the Zendesk ecosystem.	Zendesk Suite	Add-on to Suite plans	Native integration with Zendesk tickets
Fin (Intercom)	Teams prioritizing raw resolution rate above cost predictability.	Intercom, Zendesk, Salesforce	Per-resolution	High accuracy on complex queries
Forethought	Large enterprises with complex, high-volume support needs.	Salesforce, Zendesk, ServiceNow	Custom (Quote-based)	AI-powered ticket triage and routing
Ada	Companies looking for a mature, all-in-one chatbot platform.	Salesforce, Zendesk, Shopify	Per-conversation (custom)	Advanced conversational workflow builder
Chatbase	Startups and small teams needing a simple, no-code chatbot builder.	Zendesk, Slack, Zapier	Tiered subscription	Simplicity and speed of setup

The 6 best AI agents for customer support

After comparing the top tools, here’s a closer look at what makes each one stand out, and where they miss the mark.

1. eesel AI

eesel AI ended up as my top pick because it’s built around a refreshingly simple idea: AI should fit into your workflow, not force you to change it. Instead of making you move to a whole new platform, it integrates with the helpdesks you already use in just a few clicks. It can learn from everything, past tickets, private docs, which gives it a solid understanding of your business right from the start.

• Pros:

  • Genuinely simple setup. You can get started entirely on your own in a few minutes. No mandatory sales calls or demos required just to try it out.

  • Powerful simulation mode. This was a huge deal for me. You can test the AI on thousands of your past tickets to see exactly how it would have performed. This gives you a real forecast of your savings before you go live.

  • Predictable pricing. The flat-rate subscription means you know your bill every month. You don't have to stress about per-resolution fees causing a nasty surprise.

  • Total control. You can build workflows to define exactly which tickets to automate and what the AI is allowed to do, from tagging tickets to making API calls to your other systems.

• Cons:

  • It’s focused on text-based support channels right now, so if you need a voice solution, you’ll have to look elsewhere.

  • While you can set up a lot of things without code, getting the most advanced custom actions running might take a little initial setup time.

• Pricing: The Team plan is $299/month ($239/month if billed annually) for up to 1,000 AI interactions. The Business plan, which includes training on past tickets and more advanced actions, is $799/month ($639/month annually) for up to 3,000 interactions. No per-resolution fees.

A look at eesel AI's transparent, flat-rate pricing plans, a clear advantage for the best AI agent for customer support.

2. Zendesk AI

If your team lives and breathes Zendesk, then Zendesk AI is the most natural place to start. It’s baked right into the platform, so it works perfectly with your existing tickets, reports, and workflows. It's handy for things like suggesting macros for agents, powering a help center bot, and triaging tickets without ever having to leave the Zendesk environment.

• Pros:

  • It’s a perfect, seamless fit with the entire Zendesk Suite.

  • It comes pre-trained on general customer service topics, so it can start working right away.

• Cons:

  • You’re pretty much locked into the Zendesk world. Getting it to learn from outside knowledge sources, like your company’s internal Notion pages or shared Google Docs, is a real headache.

  • It feels less like a fully customizable AI agent and more like a collection of AI-powered features. You have less control compared to more flexible platforms.

• Pricing: Zendesk AI features are part of the higher-tier Zendesk Suite plans (starting at the $55/agent/month Suite Team plan), but there’s a catch: they also charge you per resolution. After a small monthly allowance, you'll pay between $1.50 and $2.00 for every automated fix.

3. Fin (from Intercom)

Fin is Intercom’s heavyweight contender in the AI agent space, and it’s pretty impressive. It’s known for being highly accurate and can handle some genuinely complex customer questions. The good news is that it also integrates with other helpdesks like Zendesk, so you don’t have to be an Intercom customer to use it.

• Pros:

  • It does a great job of resolving tickets, even tricky, multi-part questions.

  • It plays nice with other major helpdesks, not just Intercom.

• Cons:

  • Okay, let's talk about the pricing model, because it’s a big one. At $0.99 per resolution, your bill grows right alongside your ticket volume. A great month for your customers could mean a scary invoice for you.

  • It doesn’t have a proper simulation mode, which makes it tough to test its performance or guess your costs before you go live with real customers.

• Pricing: $0.99 per AI resolution. If you use it with another helpdesk, there’s a 50-resolution minimum per month.

4. Forethought

Forethought is built for the scale and complexity of a huge enterprise support team. Its main strength is its AI-powered triage, which can automatically figure out the sentiment, intent, and urgency of an incoming ticket and route it to the right person or workflow.

• Pros:

  • Excellent ticket classification and routing automation.

  • It includes a handy "agent assist" feature that gives real-time suggestions to your human agents.

• Cons:

  • The pricing is a complete black box. It’s quote-based, so you have no idea what it might cost without sitting through a full sales process, which is a dealbreaker for teams trying to move fast.

  • Getting it set up is a big project. It’s not a self-serve tool you can just switch on.

• Pricing: Custom quote required. You have to talk to their sales team to get any numbers.

5. Ada

Ada has been in the AI chatbot game for a long time, and you can tell. The platform is polished, has a ton of features, and is used by a lot of big-name brands. Its no-code, visual workflow builder is really good, letting you design some pretty complex conversations without needing to code.

• Pros:

  • A very user-friendly, drag-and-drop interface for building conversations.

  • It’s a proven, reliable platform with a solid reputation.

• Cons:

  • Getting started often means a hefty upfront investment and committing to a minimum number of conversations, which can be tough for smaller teams.

  • It feels more like a classic chatbot platform that you have to build out from scratch, rather than a flexible AI agent that learns from your existing knowledge.

• Pricing: Custom. Ada’s pricing page is just a contact form. Expect to sign a significant annual contract.

6. Chatbase

Chatbase is all about keeping things simple. It lets pretty much anyone build a basic AI agent in minutes by uploading a few documents or pasting in a website URL. If you just need a simple Q&A bot for your website and have zero technical help, it's a great place to start.

• Pros:

  • It is ridiculously easy to get started. If you can copy and paste, you can build a Chatbase bot.

  • The pricing is transparent and has a free plan to let you try it out.

• Cons:

  • It's more of a chatbot than a true AI agent. It can't do things like update tickets or look up user data, which you need for real support automation.

  • It can't really handle complex problems that require more than just pulling an answer from a document.

• Pricing: There’s a free plan for basic use. Paid plans start at $40/month (2,000 message credits) and go up to $500/month (40,000 message credits).

This video explains how Fin by Intercom, a leading AI agent, delivers high-quality answers to complex customer queries.

4 tips for rolling out an AI agent for customer support

Picking the right tool is only half the job. How you roll it out is what really makes or breaks the project. Here are a few things I learned along the way:

1. Start small and pick one problem. Don't try to automate your entire support queue on day one. Pick one specific, high-volume, repetitive question, like "Where is my order?" or "How do I reset my password?", and get that working perfectly. It's a quick win that proves the value and gives you a solid base to build on.

2. Simulate everything before you activate. This is the most important step. A good platform will let you test your AI against your past ticket data. This shows you exactly how it would have answered thousands of real customer questions, so you know your resolution rate and can avoid any embarrassing mistakes when you flip the switch.

3. Give your AI a good brain. An AI agent is only as smart as the information you feed it. To get accurate answers, you need to connect it to all the places your team gets information, your help center, internal wikis, Google Docs, and especially the resolutions from your old support tickets.

4. Keep a human in the loop. The goal of AI isn't to replace your team; it's to free them up for more important work. Make sure your AI has clear rules for when to escalate a conversation to a person. This lets AI handle the easy stuff, so your expert agents can focus on the complex problems that actually need a human touch.

The best AI agent for customer support works with you, not against you

At the end of the day, the best AI agent for customer support is the one that fits into how your team already works. It should learn from your company's unique knowledge, give you full control, and let you launch with confidence.

Too many tools try to lock you into their way of doing things with rigid systems, unpredictable pricing, and long, risky setup projects. The better approach is to find a platform that gives you all the power of AI without all the pain.

Ready to see how an AI agent can start automating support right inside your current helpdesk? Get started with eesel AI for free and run your first simulation in minutes.