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    Custom HubSpot AI Agents

    The AI agents that keep your pipeline moving.

    Your people know your buyers, your deals and where pipeline really comes from. What slows them down is the RevOps work around it: sorting records, decoding lead scores and chasing account updates.

    We build custom HubSpot agents around how your team already works, so that repeatable work gets done faster and more consistently, while your people stay focused on strategy, judgment and the conversations that close. Below are agents we’ve built, the job each one does, what they hand back and the CRM configurations they need to run well.

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    Agents in Action

    What our AI agents take on

    AI agents fit anywhere a team handles the same task again and again, especially when it means sorting through data, weighing signals or flagging what needs a closer look. Heres what that might look like inside HubSpot and what changes once each respective agent takes over.

    01

    Client Health Scoring Agent

    How The Agent Works

    It starts with a quick check-in. Each quarter, account leads answer a short survey in HubSpot about how the relationship is going, how the work is performing and anything big that’s changed on the client’s side. An AI agent scores those answers and saves the result to the company record, building a health history. Whenever someone needs the bigger picture, a second agent turns that history into an executive summary, a look at the trends and recommended next steps.

    A clear read on relationships

    • Account leads share what they know in minutes, with no spreadsheets or status decks to maintain.
    • Every account is measured the same way, so leadership can see health across the full client roster at a glance and with consistency.
    • A running history shows each relationship's direction over time, so the team can step in the moment something shifts.
    02

    Lead Score Explainer Agent

    How The Agent Works

    When a rep wants to understand a lead, they click a button on the contact record. The agent looks at the lead score along with what’s behind it, from the contact’s age and location to the forms they’ve filled out, the pages they’ve visited and past conversations with sales. In a few seconds, the rep gets the story in plain language: why the contact scored the way they did, what they’ve done recently, what to do next and a draft email ready to personalize. The agent only reads and drafts, so the rep always decides what gets sent.

    A clear path to follow-up

    • Reps understand a contact's score in seconds, without digging through properties or activity logs.
    • Follow-up gets prioritized the same way across the entire sales team.
    • Drafting time drops, freeing reps for more conversations with prospects.
    03

    Buyer Role Classifier Agent

    How The Agent Works

    Sorting out who plays which role in a buying group starts with a single click on the contact record. The agent first fills in any missing job title details, then reads the title the way an experienced sales rep would, translating shorthand like ‘plt mgr’ into ‘plant manager’ and matching it to the right buying role. Every call comes with a quick explanation of why it was made. When the answer is clear, the role is saved to the contact automatically, and when it’s a close call, a person gets the final say.

    The right outreach for every buyer

    • Reps get back the hours they'd spend researching titles by hand.
    • Review time is reserved for close calls, so the team's attention goes where it matters.
    • Clean buying-role data means each sequence reaches the decision makers, evaluators and gatekeepers it was built for.
    04

    Record Matching Agent

    How The Agent Works

    Every time new data lands in the CRM from an outside source, the agent gets to work. It looks at the incoming record, searches for the companies it most likely belongs to and links the best matches, each with a note on how confident it is. From there, a person reviews the matches and makes the final call, so the agent never changes a record on its own.

    Clean data from the point of entry

    • The team's time goes to quick confirmations, with the search already done.
    • Duplicates are stopped at the point of entry before they spread into reports and workflows.
    • Reporting and forecasting run on accurate account and brand relationships.
    05

    Deal Loss Analysis Agent

    How The Agent Works

    When a sales leader wants to learn from recent losses, they choose a timeframe and let the agent dig in. It reads through every closed-lost deal from that period, looking past one-off explanations to the patterns that keep coming up, like the same objection surfacing across different deals. It then sorts losses by cause and pairs each pattern with recommendations.

    Lessons from every lost deal

    • Sales leaders get a clear picture of why deals slip away in a single readout.
    • Recurring objections surface early enough to influence coaching, messaging and enablement.
    • Each review period ends with a roadmap the team can put to work right away.
    The Method

    How every custom AI agent gets built

    AI agents may have different jobs, but they’re all built upon the same foundation. We make sure it’s in place before an agent ever runs.

    Data
    data-agents-trust

    Data Agents Can Trust

    An agent can only reason with what's in the record. Missing job titles, duplicate companies and stale properties all turn into wrong answers, delivered confidently and at scale.

    That's why data work comes first on every build. Before an agent reads a single field, we make sure records are complete, consistent and free of duplicates, and we put checks in place to keep them that way as new data arrives. When the data is sound, a team can act on what the agent returns without having to double-check.

    Systems
    Data-systems

    Systems That Talk to Each Other

    Useful agents read from one system, make a decision and write the result where the team already works. That takes a connected stack: CRM integration that lets the CRM, marketing automation and surrounding tools share the same data.

    Getting there means mapping how information moves between your tools and closing the gaps along the way, so no one is copying data between screens or waiting on a manual handoff. That mapping is usually where our HubSpot AI readiness work begins.

    Governance
    Data-governance

    Rules Set Before Launch

    Before an agent goes live, we decide with your team exactly what it can see, what it can change and where a person steps in. Confidence levels, written reasoning and review gates are designed in from the outset, enabling anyone to check a result in seconds.

    As agents take on more of the routine work, RevOps gets time back to refine the rules that guide them.

    "Sound data, connected systems and clear rules. Get those right, and the agent becomes the easy part."

    Let's put an agent to work for you.

    Every team has a repeatable job that eats up more hours than it should. If you're curious what an agent could take off your team's plate, let's talk it through.