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5 AI Agents Quietly Taking Over Sales and Customer Service

A practical look at five AI agents business owners can use to handle customer service and sales conversations, what they do, the real benefit, and where to find them.

Two colleagues looking at a laptop screen together

Customer service and sales are two of the most conversation-heavy parts of any business, and conversation is exactly what today's AI agents are best at. The tools in this space have moved well past the old "chatbot that answers three FAQs and gives up." They can now look up an order, process a refund, qualify a lead, or book a follow-up call, without a human touching the ticket.

That's a meaningful shift for small and mid-sized businesses in particular, because it used to take a dedicated support or sales team to cover that ground. A solo founder or a five-person team can now offer response times that used to require shift rosters, simply because the agent doesn't clock off at 5pm.

It's worth saying upfront: none of these are "set and forget." They work best when you decide in advance what the agent is allowed to do on its own, process a refund under $50, say, and where it should hand off to a person. Get that boundary right and the tools below start paying for themselves quickly. Here are five worth knowing about.

01

Fin, by Intercom

A customer agent that actually resolves things

Fin is built to handle a customer's issue end to end, not just point them at a help article. It can look up an order, process a refund, update an account, or hand off cleanly to a human when it hits the edge of what it should decide on its own, across chat, email, voice, and social.

The benefit: It plugs into your existing helpdesk rather than replacing it, so you get a working AI agent without ripping out the support tools your team already knows. Businesses using it report resolution rates in the high 70s (percent of tickets closed without a human), which is a genuine dent in support volume rather than a marginal saving.

02

Ada

Build a support agent without writing code

Ada is aimed at teams who want to design their own AI support agent using a drag-and-drop builder rather than developer time. You set up "playbooks", the steps the agent follows for a given type of request, and it handles the conversation across chat, email, and voice.

The benefit: Non-technical teams can shape exactly how the agent behaves and what it's allowed to do, which matters if you want AI handling customers but not making promises you didn't approve. It's a good fit if you want more control over the agent's exact wording and escalation rules than an out-of-the-box tool typically gives you.

03

Salesforce Agentforce

AI agents built into your CRM

If your business already runs on Salesforce, Agentforce lets you build agents that work directly off your existing customer data, qualifying leads, answering service questions, or managing renewals, using low-code tools rather than a separate integration project.

The benefit: Because the agent has full context from your CRM already, it can act on real customer history instead of asking your customers to repeat themselves. That context also stretches beyond support: the same platform builds agents for lead qualification, appointment scheduling, and internal HR or IT requests, so one setup covers more than just the help desk.

04

Zendesk AI agents

Automation layered onto the ticketing system you already use

For businesses already running Zendesk, its AI agents sit on top of your existing setup and handle multi-step requests, not just routing a ticket, but working through it and resolving it, while every resolution feeds back in to make the system a bit sharper over time.

The benefit: You get real automation without switching platforms or retraining your team on new software, a meaningful factor if your support team already has muscle memory for how Zendesk works and you'd rather build on that than start over.

05

Gorgias

Customer service built specifically for ecommerce

Gorgias is worth a specific mention for online stores. It connects directly to Shopify (and other ecommerce platforms) so the AI agent can see live order and customer data, and it can take direct action, processing a cancellation, applying a discount, or suggesting an upsell, inside the conversation itself.

The benefit: It's built for the exact questions ecommerce customers actually ask ("where's my order," "can I return this"), rather than being a generic support bot adapted after the fact, and because it can see order data, it can also nudge a sale rather than only fielding complaints.

Where to start

You don't need to hand your whole inbox to an AI agent overnight. The businesses getting the most out of these tools usually start narrow, automate the handful of questions that make up most of your support volume, or the first-touch qualifying questions in a sales conversation, and expand from there once they trust what the agent is doing.

Which tool fits depends less on company size than on what you already run. If you're on Salesforce, Agentforce is the path of least resistance. If you're on Zendesk, its native agents are the obvious first stop. If you're starting from nothing, Fin or Ada are both built to be a business's first AI agent rather than an add-on to something else. And if you sell online, Gorgias is worth trialling before any of the generalist tools, simply because it already understands what an ecommerce customer is asking for.

If sales or support is where you're feeling the most pressure right now, that's a reasonable place to start looking.

Next week we'll cover another corner of the AI toolkit. If there's a part of your business you'd like us to dig into, let us know and we'll put it on the list.

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