
It feels like AI agents are everywhere in customer support these days, doesn't it? They promise a world where tedious questions are handled automatically, freeing up your team for the stuff that really matters. If you're running your business on HubSpot, you've probably seen their native solution, Breeze agents, pop up. The convenience of having an AI tool built right into the platform you use every day is definitely tempting.
But what's it actually like to get one of these agents up and running? This guide is a practical, behind-the-scenes look at the Breeze Agent Configuration process. We’re going to move past the glossy marketing pages to talk about the features, the very real limitations, and the true costs you can expect. While Breeze can be a decent starting point for some, you'll quickly see why a more powerful, flexible solution might be the smarter long-term move for teams that want to grow without hitting a wall.
What are HubSpot's Breeze agents?
First off, "HubSpot Breeze" isn't one single tool. It’s more of an umbrella term for HubSpot’s collection of AI features, with different "agents" designed to help out in various departments, all living inside the HubSpot ecosystem.
You’ll find a few different types of agents, each with a specific job:
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Content Agent: This one helps your marketing team draft blog posts, landing page copy, and other content.
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Social Agent: It can suggest social media updates and help you get a handle on your content calendar.
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Prospecting Agent: Built for sales folks, it assists with researching leads and writing those first outreach emails.
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Knowledge Base Agent: This agent tries to spot gaps in your help docs and can draft new articles to fill them.
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Customer Agent: This is the one we’re digging into today. It's the AI chatbot meant to be on the front lines, answering customer questions through your website's chat widget.
For most support teams, the Customer Agent is the main attraction because it has a direct line to your customers and can immediately impact your team's workload. But here’s something to know right away: these agents aren't available for everyone. They are bundled into HubSpot’s pricier Professional and Enterprise plans, making them an exclusive, and pretty expensive, feature from the get-go.
The heart of Breeze Agent Configuration: Feeding the bot
The absolute first and most important step in any Breeze Agent Configuration is giving the AI something to learn from. Its ability to answer questions is 100% dependent on the information you provide. HubSpot lets you connect your agent to a few specific sources:
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Your HubSpot Knowledge Base articles
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Pages and blog posts from your website
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Manually uploaded documents like PDFs or Word files
This sounds simple enough on the surface. But here’s the reality: the AI is only as good as the data it’s trained on. For Breeze to have a fighting chance, your knowledge base can’t just be good, it has to be perfectly manicured and structured specifically for an AI to understand. We’ve heard from many early users that the out-of-the-box quality can be a bit of a letdown without a ton of manual effort. Teams often find themselves rewriting huge chunks of their existing documentation or creating dozens of new, bite-sized Q&A articles just to get the bot to handle basic questions correctly. What was supposed to be "automation" suddenly turns into a massive, time-sucking content project.
This is where you can really see the difference between a built-in feature and a specialized tool. Instead of just relying on pristine, hand-fed documents, platforms like eesel AI are designed to learn from the messy, real world of customer support. Yes, eesel AI can connect to your knowledge base, but its real strength is its ability to learn from unstructured data, including thousands of your team's past support conversations. It digs through your history of resolved tickets to automatically figure out your brand’s voice, the most common snags your customers hit, and what a genuinely helpful answer looks like. This means it has a deep, practical understanding of your business from day one, all without you having to overhaul your entire library of help articles.
eesel AI connects to various unstructured data sources, including past support tickets, to build a deep understanding of your business from day one.
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Even better, eesel AI actually helps you improve your documentation over time. It can analyze tickets where your human agents saved the day and automatically generate draft articles based on those successful resolutions. This helps you plug the gaps in your knowledge base with content that you already know works.
Customization and control
Okay, so you’ve fed your Breeze agent some content. The next step in the configuration process is customization. HubSpot gives you a few knobs and dials to play with. You can give the agent a role (like Support or Sales), pick a personality (Friendly, Professional, you get the idea), and set up basic handoff rules for when it gets stuck and needs to pass the conversation to a human.
Unfortunately, this is where you'll likely run into a pretty low ceiling. Beyond these surface-level settings, the Breeze agent is basically a "black box." You can't give it specific, multi-step instructions or teach it your company's unique processes. For example, you can't tell it, "If a customer asks about a refund and their order date is more than 30 days ago, explain our policy and offer a 10% discount on their next purchase." HubSpot does have an "Actions" feature, but getting it to perform tasks like this often requires custom code and API work, which kind of defeats the purpose of an easy-to-use tool.
For any team that needs more than a glorified FAQ bot, this lack of control is a major problem. This is why having a fully customizable workflow engine is so critical. With a tool like eesel AI, you get complete control from a simple, visual dashboard. The prompt editor lets you define not just the AI's tone, but the exact step-by-step logic it needs to follow for any given situation. You can easily set up custom actions and connections to other tools without having to write a single line of code. Want the AI to check an order status in Shopify, update a ticket in Zendesk, or create a bug report in Jira Service Management? You can build those workflows yourself in a matter of minutes. This puts your team back in the driver's seat, turning the AI into a powerful extension of your support process, not just a rigid add-on you have to work around.
With eesel AI's visual dashboard, you can create custom, multi-step workflows without writing any code, giving you full control over the Breeze Agent Configuration.
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The real cost of a Breeze Agent Configuration
Let's talk about the money, because this is where things can get a little tricky. The cost of HubSpot's Breeze agents isn't a straightforward monthly fee. It’s a layered expense that can balloon unexpectedly if you're not careful. Before you jump in, you need to understand the full financial picture.
First, there's the plan requirement. As mentioned, Breeze agents are only included in HubSpot's Professional or Enterprise plans. The Service Hub Professional plan starts at $450 per month (billed annually), so you’re looking at a serious investment right out of the gate.
Next up, if you’re new to these higher tiers, you’ll be hit with a mandatory one-time onboarding fee of $1,500. This isn't even for AI training; it's for general HubSpot onboarding, and you have to pay it before you can even access the Breeze features.
Finally, we get to the usage-based pricing model. This is where your costs can become a total guessing game. The Professional plan includes 3,000 AI credits per month, which sounds like a lot until you realize that translates to roughly 30 free AI conversations. After you blow through that tiny allowance, you start paying for each interaction, at a rate of about $1 per conversation. If you have any meaningful support volume, these costs can spiral out of control, fast. Even worse, if you exceed your purchased credit limit, HubSpot might automatically upgrade your subscription, locking you into an even higher monthly bill. And since any unused credits expire at the end of the month, you’re often paying for capacity you never even use.
The rollout process has its own set of challenges. HubSpot doesn't give you a great way to test your agent's performance before you unleash it on your customers. You get a basic preview window, but you can't run it against your past support tickets to see how it would have handled real-world situations. This makes it incredibly difficult to predict your resolution rate, spot weaknesses in its knowledge, or forecast your monthly costs. Your go-live moment becomes a bit of a leap of faith.
This is a world away from the transparent and predictable model you get with a dedicated platform like eesel AI. Instead of a confusing credit system, eesel AI offers clear monthly plans with generous interaction allowances and, most importantly, no per-resolution fees. You get a predictable bill every month without getting penalized for being busy.
Even more importantly, eesel AI provides the tools to launch with confidence. Its powerful simulation mode lets you test your entire AI setup on thousands of your historical support tickets in a safe, offline environment. You get a shockingly accurate forecast of your resolution rate, you can see exactly how the bot would have replied to real customer questions, and you get a clear picture of your potential cost savings, before you ever flip the switch for a single customer. This data-driven approach takes the guesswork out of AI implementation and lets you roll out your automation risk-free.
eesel AI's simulation mode allows you to test your setup on historical data to predict performance and costs before going live, a key step in a successful Breeze Agent Configuration.
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Feature | HubSpot Breeze Customer Agent | eesel AI |
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Plan Requirement | Professional or Enterprise Only | Works on any HubSpot plan |
Onboarding Fee | $1,500 (mandatory) | $0 |
Pricing Model | ~$1 per conversation (after free tier) | Flat monthly fee, no per-resolution charges |
Cost Predictability | Low (usage-based, auto-upgrades) | High (predictable monthly subscription) |
Pre-launch Testing | Basic preview only | Powerful simulation on historical tickets |
Setup Time | Days to weeks (content prep) | Go live in minutes |
Is a Breeze Agent Configuration right for you?
After breaking it all down, what's the bottom line? HubSpot's Breeze agents can be a convenient, integrated starting point for a very specific kind of company: one that is already deeply committed to the HubSpot ecosystem on a Professional or Enterprise plan, has very straightforward support needs, and has already invested the time to build a perfectly structured, AI-ready knowledge base.
For just about everyone else, the Breeze Agent Configuration process highlights some serious drawbacks. The heavy lifting required for content prep, the frustrating lack of deep customization, the unpredictable and potentially steep costs, and the inability to test thoroughly are major roadblocks for any team that's serious about scaling their support effectively.
If your team needs a more powerful, cost-effective, and controllable AI solution that works with your existing tools, not against them, then looking at a dedicated platform is the logical next step.
Beyond a Breeze Agent Configuration: Your path to smarter support automation
If you're feeling constrained by the limitations of basic, bundled AI tools, it might be time to try a solution that puts you back in control. eesel AI is designed from the ground up to be radically simple, allowing you to go live in minutes, not months. It brings together all your knowledge sources (not just the perfect ones) and gives you total command over your automation workflows, all with a predictable price tag.
Ready to see what an AI agent that works for you, not the other way around, feels like? Start your free eesel AI trial or book a demo with our team to see it in action.
Frequently asked questions
The process primarily involves feeding the AI information from your HubSpot Knowledge Base, website content, or uploaded documents. You also set basic parameters like the agent's role, personality, and rules for when conversations should be escalated to a human.
The quality of your knowledge base is extremely critical. Breeze agents rely entirely on the provided data, meaning your documentation must be perfectly manicured and structured for the AI to accurately understand and answer customer questions.
Beyond basic settings like role and personality, deep customization is limited. You generally cannot implement complex, multi-step instructions or integrate nuanced workflows without significant custom code and API work.
Costs include requiring HubSpot's Professional or Enterprise plan (starting at $450/month), a mandatory $1,500 onboarding fee, and a usage-based pricing model where interactions quickly lead to additional costs beyond a small free allowance.
HubSpot offers a basic preview window for testing. However, there isn't a robust way to simulate performance against thousands of your historical support tickets to accurately predict resolution rates or identify knowledge gaps before a live rollout.
While basic setup has a few steps, the most time-consuming part of a Breeze Agent Configuration is often the extensive content preparation. Teams frequently spend days to weeks rewriting and structuring documentation to make it AI-ready, impacting the overall deployment timeline.