AI for B2B Teams on HubSpot

Simple Machines helps B2B teams put AI to work in HubSpot and beyond, on data they can trust.

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HubSpot partner since 2015 · 5.0 rating, 60+ HubSpot reviews

AI is only as good as the data under it

Before we build or switch anything on, we check the foundation.

What we do

AI for HubSpot

Get real value from HubSpot's built-in AI.

AI-powered automation

Custom agents and workflows, inside HubSpot and beyond

Fulcrum

A managed AI agent for your website, trained on your content.

AI search visibility

Get cited when buyers ask ChatGPT who to consider.

AI for HubSpot

HubSpot is releasing AI features faster than most teams can keep up. We help you turn on the right ones, the right way.

Better data: Breeze enrichment, the Data Agent, and smart properties

Prospecting: put the Prospecting Agent to work

Service: qualify leads and resolve tickets with the Customer Agent

Content: personalize and optimize emails, pages, and CTAs

Reporting: AI summaries in your reports and dashboards

HubSpot's AI agents run on credits, so we pilot small, set limits, and measure cost per outcome before you scale. 

FAQ

What is AI for HubSpot?

HubSpot's built-in AI, called Breeze, includes agents for prospecting and customer service, data enrichment, content tools, and report summaries. Simple Machines helps you choose, set up, and measure them, and builds custom agents and workflows when the built-in tools aren't enough.

Is my HubSpot data ready for AI agents?

Only if it's accurate, consistent, and governed. Duplicates, stale records, and unclear stages make agents unreliable. Our Data Trust Snapshot is a one-week diagnostic that tells you where you stand.

What does HubSpot AI cost?

HubSpot's AI agents run on credits. Included credits run from 500 to 10,000 a month depending on your tier, and additional credits cost $0.01 each. Costs scale with usage, so we start with a small pilot.

Where should we start?

With the data, if you're unsure of its quality. Then choose one use case, pilot it with a limit set, and measure the result before expanding.

Find the AI use case worth piloting first

We'll help you pick the one or two places AI will pay off, and what to fix before you start.