Customer Agent is where things get interesting. And also where things can go sideways if you rush it.
The AI agent can help resolve customer conversations using your existing knowledge base and support content. Our recommendation is to start with repetitive, low-risk support questions first.
Think:
Do not immediately hand over sensitive or high-context customer conversations.
The goal initially is to reduce repetitive workload for your team, not replace your support team entirely.
This is where operations teams can create some serious efficiency.
AI workflow actions can:
But again:
Don’t automate chaos
Clean process first
AI second
If the underlying process is messy, AI usually just helps you make mistakes faster.
Buyer Intent can help identify companies engaging with your website and show signals that suggest purchasing interest.
Very, very cool.
Also very easy to over-monitor and burn through credits if you get excited.
Our recommendation:
Because data without action is just expensive reporting.
For example:
HubSpot is evolving this space quickly, so it’s worth checking the latest product documentation before rolling out anything at scale.
Teams either:
OR
Neither is ideal.
The sweet spot is: small experiments with measurable outcomes.
Some important operational notes:
And this part matters:
If automatic credit upgrades are enabled, HubSpot can automatically move you into a higher credit tier if usage exceeds your allowance.
So before rolling anything out widely: set usage alerts and monitor adoption carefully.
Inside HubSpot:
Settings → Account & Billing → Usage & Limits
From there you can:
We also strongly recommend ensuring your billing contacts and Super Admins are receiving usage notifications.
Because nothing ruins the excitement of “testing AI” faster than an unexpected bill.
Most businesses are already paying for access to these tools through their HubSpot subscription. They’re just not using them yet.
Not because the tools aren’t useful, but because nobody has really explained where to start, how to manage the credits properly, or which use cases are actually worth testing first.
That’s why our recommendation is simple:
Start small.
Pick one team, one process, and one measurable outcome. Put limits and monitoring in place before you scale anything, and focus on practical use cases that genuinely reduce workload or improve visibility for your team.
And please…
Don’t turn every AI feature on just because HubSpot added it.