An AI agency for growing companies, with a person in charge of every job
Push Analytics is an AI agency for growing companies. We set up HubSpot's AI agents, build custom AI workflows around your CRM, run private AI for data you can't send to public tools, and get your company named in AI answers. Every project starts with one job and one measure, with a person in charge.
Free, 30 minutes, and you'll leave with at least one clear next step.
Which AI service fits what you need?
Push Analytics helps growing companies put AI to work on specific jobs, with a person in charge of each one. Most people arrive here with one of the needs below. Pick the one closest to yours, and the linked page goes into detail.
You're not sure where AI fits yet. Start with AI consulting if you want a partner to find the first job worth handing to AI and set it up. If you'd rather have a written ranking of where to start, the AI readiness assessment checks your HubSpot data, your processes and the AI tools you already pay for.
You know the job and want to test it. An AI pilot runs one workflow with one team and one measure. At the end you see the numbers and decide whether to grow it or stop.
You want AI working inside HubSpot. AI agents covers HubSpot's Customer, Prospecting and Data Agents and the custom agents we build beside them. For each Breeze agent and the plan it needs, see Breeze AI agents. If the goal is buyer research and first-draft emails for your reps, read about the AI sales agent.
Your team retypes the same things every day. Custom AI workflows read emails and PDFs, fill in records, check your other systems and draft replies that a person approves.
Your data can't go to public AI tools. Private AI runs models on infrastructure Push controls, so pricing, margins and contracts stay off public services. If your staff already use AI chat tools on personal accounts, Claude for business moves them to a company account with simple data rules.
Buyers ask AI tools who to hire, and you're not named. Generative engine optimization explains how AI tools choose which companies to mention and what we change on and off your site. If you run HubSpot, HubSpot AEO tracks whether ChatGPT, Gemini and Perplexity name you.
How does Push approach AI?
We start with the job and pick the tool second. We look for work your team does by hand every week, like reading RFQ PDFs, researching a buyer before a call or answering the same order question again. If AI can do that job well, we set it up. If it can't yet, we say so.
We keep a person in charge. The AI drafts, and someone on your team approves anything that reaches a customer, changes a price or touches an order. We agree up front on how we'll measure the result, so you can see whether it pays off.
We fix the data first. An AI agent is only as good as the records it reads, so much of our AI work starts inside HubSpot, cleaning up contacts and deals so the answers come out right. When data is too sensitive for public AI tools, we run models on infrastructure Push controls.
When is AI not the right next step?
If your CRM is full of duplicates, or no one owns the process the AI would take over, AI makes the mess faster. In that case we start with cleanup in HubSpot, or with a Friction Point Analysis to map where leads, quotes and orders get stuck. We'll tell you on the first call if that's where you are.
AI services we offer
AI agents and workflows that take real work off your team, with your data kept safe.
AI agents
Push Analytics sets up HubSpot's Customer, Prospecting and Data Agents on clean CRM data and builds custom AI agents for sales and service jobs they can't do.
Custom AI workflows
Push builds custom AI workflows that extend HubSpot. They read emails and PDFs, fill in records, check your other systems and draft replies a person approves.
AI readiness assessment
An AI readiness assessment for small and mid-size businesses. We check your HubSpot data, processes and the AI you already pay for, then rank where to start.
AI consulting
AI consulting for small and mid-size businesses. We find the first job worth handing to AI, set it up in the systems you run and keep a person in charge.
AI sales agent
What an AI sales agent, or AI SDR, can and can't do for a growing sales team, and how we build one on HubSpot with a rep approving every email it drafts.
Generative engine optimization
Generative engine optimization gets your company named in ChatGPT, Claude, Perplexity and Google's AI answers. How GEO differs from SEO, and what we do.
AI pilot program
A fixed-scope AI pilot: one job, one team and one measure, with a person checking the AI's work. At the end you see the numbers and decide to grow it or stop.
Claude for business
We set up Claude Team or Enterprise for your company, move staff off personal accounts, write simple data rules and connect Claude safely to your HubSpot.
Private AI
Private AI analysis for companies with sensitive data. We run AI models on infrastructure Push controls, so pricing, margins and contracts stay off public AI.
HubSpot AI agents we set up
HubSpot's Breeze agents work inside your CRM. We set them up on clean data and decide with you what they may do on their own.
Breeze AI agents
Which HubSpot AI agents are worth turning on, what they cost in credits, and what to clean up in your CRM before you start.
Prospecting Agent
Let an AI agent watch your target accounts for buying signals and draft emails your reps approve before anything goes out.
Customer Agent
Answer order, product and policy questions around the clock from your own help content, and hand the hard ones to your team.
Data Agent
Have AI research every account and fill in the CRM fields your team sorts by, such as whether a company is growing or which tools it uses.
Questions owners ask us first
Where should a company new to AI start?
With one job your team does by hand every week, and a way to measure it. If you can name the job, an AI pilot tests it. If you can't, AI consulting or the AI readiness assessment finds it.
Do we need HubSpot to work with Push on AI?
Not for everything. AI agents and most custom workflows are built on HubSpot, because that's where your customer records live. Private AI, Claude for business and generative engine optimization work with any CRM.
What's the difference between an AI agent and an AI workflow?
An agent picks its next step on its own, inside limits you set, like answering a customer question from your help articles. A workflow follows fixed steps you define, like reading an RFQ PDF and filling in a deal. Workflows are easier to check, so many projects start there.
Who checks the AI's work?
Someone on your team. We set it up so a person approves anything that reaches a customer, changes a price or touches an order. As the results hold up, you can decide to let the AI handle more on its own.
How do we know if an AI project paid off?
We agree on one measure before we start, such as hours spent on a task, replies sent within a day or questions answered without a person. We record where it stands first, then compare after the pilot and decide with you whether to grow it or stop.