A practical guide to HubSpot customer service in 2025

Kenneth Pangan
Written by

Kenneth Pangan

Last edited September 1, 2025

Let’s be honest, HubSpot is a beast. For a lot of companies, it’s the command center for everything sales, marketing, and customer-related. It’s that all-in-one dream, giving you one place to see everything about a customer. And it mostly works… until it doesn’t. The moment your business starts to really grow, you hit a wall, especially with customer service. The very features that made HubSpot so appealing can feel a bit restrictive when you’re trying to build a smart, automated support system.

If that sounds familiar, you’re in the right place. We’re going to walk through what HubSpot customer service is all about, get into the real-world headaches of scaling support on the platform, and show you how modern AI can plug right into your existing setup to give it a major boost. No need to tear everything down and start over.

What’s included in HubSpot customer service?

When people talk about HubSpot customer service, they’re usually referring to the Service Hub. This is HubSpot’s toolkit for everything that happens after a sale, designed to help you keep customers happy and coming back. Think of it as your main hub for every customer conversation.

Inside the Service Hub, you’ll find a few core pieces:

  • Help Desk & Ticketing: This is your team’s shared inbox. It’s one central spot to manage and track customer questions, whether they pop up in an email, a live chat, or a website form.

  • Knowledge Base: This is your self-service library for publishing help articles and FAQs. The idea is to let customers find answers on their own, which cuts down on the number of repetitive questions your team has to answer.

  • Omni-Channel Messaging: HubSpot pulls conversations from live chat, email, and social media into a single view. This gives your team the full story of a customer’s interactions without having to juggle a dozen different tabs.

  • Automation & AI: This is where you’ll find HubSpot’s own AI, "Breeze Customer Agent." It’s built to answer simple, common questions by digging through your knowledge base, which frees up your human agents to tackle the trickier stuff.

  • Reporting & Analytics: You get dashboards that track all the important support stats like ticket volume, how fast you respond, and how quickly you solve problems. It helps you see how your team is doing.

Of course, not everyone gets all these features. Your access to specific tools and support channels (like chat or phone) really depends on which HubSpot subscription plan you’re on: Free, Starter, Professional, or Enterprise. It’s important to remember this tiered setup, because it directly affects how much you’ll spend and how easily you can grow your support as your company gets bigger.

Scaling HubSpot customer service with AI: what to watch out for

So, HubSpot’s Service Hub gives you a decent starting point. But when you try to scale things up with AI, it gets tricky. It’s not as simple as just flipping on a bot. You need that bot to be smart, efficient, and not break the bank. This is where you might start to feel the limitations of an all-in-one platform.

For HubSpot customer service, your knowledge is everywhere, but your AI isn’t

The best thing about HubSpot is how everything just works together. Service Hub plays nicely with all the information already inside HubSpot, your contacts, deals, and especially its own knowledge base. For an AI agent like Breeze, that’s its whole world.

The problem? Your company’s actual knowledge is probably scattered all over the place.

For most growing teams, the most detailed tech docs are living in Confluence. The latest project plans and troubleshooting tips are buried in Google Docs. And the most current, practical fixes are being shared in real-time chats on Slack or Microsoft Teams. If you force your AI to rely only on the official HubSpot knowledge base, you’re creating blind spots. It’s like asking a detective to solve a case with only one clue. The AI will inevitably fall short and end up escalating simple questions because it doesn’t have the full picture.

That’s why you need a tool that can connect the dots, which is exactly what eesel AI was built for. Instead of making you move all your knowledge into one central library, it connects to the tools you’re already using. With one-click integrations for over 100 sources, eesel AI can learn from everything: old support tickets, internal wikis, and your team’s chats. This gives your AI agent a complete view of your company’s collective brain, which means much more accurate and helpful answers for your customers. You get to improve your existing setup without the pain of a massive data migration project.

Getting real control over your HubSpot customer service AI and automation

HubSpot’s Breeze agent and its workflow tools are a fine start for automation. They can deflect some of the easy, repetitive questions and help get tickets to the right people. But the moment you want to do more than basic Q&A, you hit the "black box" problem.

Many built-in AI tools just don’t give you the detailed control needed to create a really polished support experience. For instance, can you define your AI’s exact personality, from its tone of voice to its sense of humor? Can you set up complex rules to control exactly which tickets it handles and which ones get sent straight to a human? Can it do custom tasks, like looking up an order status in Shopify or checking a subscription in your billing software? With most out-of-the-box tools, the answer is usually "no," or "sure, if you have a team of developers and a big budget."

A modern AI platform should put you in the driver’s seat. Here’s how eesel AI handles it:

  • Selective Automation: You get a powerful rules engine to decide exactly which tickets the AI can touch. You can start small, maybe automating just one or two simple topics, and have it pass everything else to your team. As you get more comfortable, you can slowly let it do more.

  • Customizable AI & Actions: A simple prompt editor lets you shape the AI’s personality, how it talks, and when it should escalate. Even better, you can create custom actions that connect to any external tool with an API. This lets your AI do actual work, like checking an order, updating a ticket, or creating an issue in Jira Service Management.

  • Powerful Simulation Mode: This is huge. Before your AI says a single word to a real customer, eesel AI lets you test it against thousands of your past support tickets. You can see exactly how it would have answered old questions in a totally safe environment, get a real forecast of your automation rate, and even calculate your potential savings. It takes all the guesswork out of launching an AI agent.

Pro Tip:

Before you commit to any AI agent, always ask if you can simulate its performance on your own data. A demo with generic examples won’t tell you how it will handle your specific customer issues. This takes the risk out of the investment and helps get your team on board.

HubSpot customer service pricing: avoiding surprise bills

HubSpot’s pricing is mostly based on seats. As your support team gets bigger, you have to buy more seats, and those costs can pile up. That model works when every ticket needs a person to look at it, but it starts to feel backward when you introduce automation. Why pay for more expensive agent seats when your whole goal is to let AI handle a big chunk of the simple questions?

This is a pretty common issue with traditional software pricing. On the flip side, many standalone AI tools have a different problem: unpredictable "per-resolution" pricing. With this model, you pay a small fee every time the AI successfully closes a ticket. It sounds fair, but it can make budgeting a nightmare. A busy month could lead to a massive bill, basically punishing you for being successful.

This is where a more modern pricing model comes in handy. eesel AI’s pricing is designed to be clear and predictable. Plans are based on the number of "AI interactions" (meaning an AI reply or an AI action), not the number of humans on your team. This way, the cost is directly tied to the value you’re actually getting from the AI.

Most importantly, there are no per-resolution fees, so your bill won’t suddenly jump during busy times. You get predictable costs that grow with your usage, not your headcount. And with flexible monthly plans you can cancel anytime, you aren’t stuck in a long-term contract. It’s a much safer way to bring AI into your workflow.

| Feature | Traditional Seat-Based (e.g., HubSpot) | Per-Resolution AI Tools | eesel AI Interaction-Based | | :---------------------- | :---------------------------------------– | :------------------------------------------------------ | :--------------------------------------------- | | Primary Cost Driver | Number of human agents | Number of tickets AI resolves | Number of AI interactions (replies/actions) | | Predictability | Predictable, but gets expensive as the team grows | Highly unpredictable | Predictable and scales with usage | | Best For | Teams where most work is done by people | Low, inconsistent ticket volumes (with caution) | Automating high volumes of tickets cost-effectively | | Flexibility | Often requires annual contracts | Varies | Monthly plans available |

Give your HubSpot customer service a boost with eesel AI

HubSpot’s Service Hub is a great, integrated starting point for customer service. But to really scale it up in today’s AI-first world, you need to look beyond its built-in features. The best way to build an efficient, intelligent support system isn’t to ditch your main platform; it’s to make it better.

eesel AI is designed to be the perfect sidekick for your HubSpot setup. It breaks down information silos by connecting to all your data sources, gives you the fine-tuned control you need to automate confidently, and uses a fair, predictable pricing model that grows with you. You don’t have to choose between a powerful platform and a flexible, smart AI. You can have both.

Ready to automate your HubSpot customer service the smart way?

See for yourself how easily you can upgrade your HubSpot customer service stack. You can get started in minutes with a free trial of eesel AI, or book a demo to see our simulation features in action.

Frequently asked questions

Not at all. Modern AI tools are designed to integrate seamlessly with your existing setup. They plug directly into HubSpot’s Service Hub, allowing you to enhance your current workflows without needing to migrate platforms or retrain your entire team.

That’s a common limitation of built-in AI. A more powerful AI platform solves this by connecting to all your knowledge sources, like Slack, Confluence, and Google Docs. This gives the AI a complete picture, resulting in more accurate answers and fewer escalations to your human agents.

You should have complete control. Look for tools that provide a rules engine to define exactly which tickets the AI can handle and which it should escalate immediately. A simulation mode that lets you test the AI on past tickets is also critical for building confidence before going live.

Avoid per-resolution fees, which can lead to unpredictable bills during busy months. An interaction-based model is often fairer and more predictable, as your costs scale directly with how much you use the AI, not with how many agents you have or tickets you resolve.

HubSpot’s native AI is a great starting point for basic automation. However, a specialized AI platform offers deeper control, connects to more knowledge sources, and allows for custom actions like looking up order details. This makes it a better long-term choice for scaling efficiently.

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Kenneth Pangan

Writer and marketer for over ten years, Kenneth Pangan splits his time between history, politics, and art with plenty of interruptions from his dogs demanding attention.