Demand Hack · AI Prospecting Agents

The AI SDR Prospecting Engine: HubSpot AI prospecting agents that run your outbound 24/7.

An AI SDR, HubSpot’s Breeze Prospecting Agent plus the custom AI agents around it, only pays off when the whole system works: clean context, the right agents, and workflows that feed them the right contacts. We deploy Claude to build your HubSpot AI context, stand up several prospecting agents, test them on real leads, wire the workflows that route contacts to each agent, and launch. Your team keeps the conversations; the agents do everything before them. On a HubSpot trial? We build the core engine free while you evaluate.

24/7Outbound coverage
6Steps from kickoff to live
$23M+Closed-won revenue driven

Which starting point fits your stack?_

Four quick answers. We match you to the free trial build or the full engine, with timelines, instantly.

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Two ways to start_

Both end in the same place: agents working your pipeline around the clock. The difference is where you are today.

Free · During your trial

Free build during your HubSpot trial

Just starting on HubSpot, or mid-trial right now? We build the core engine during your trial, the AI context, your first Prospecting Agent, and the routing workflow, completely free. If HubSpot works for you and you continue, HubSpot pays us as a partner. You never pay for the trial build.

Start my trial build →
Paid · Done for you

The full Prospecting Engine

Already on HubSpot? We deploy Claude to build your AI context, stand up several prospecting agents, test them on real leads, wire the routing workflows, and launch with a full-funnel dashboard. Fixed scope, from $6,500.

See pricing →

Where AI SDRs actually fail_

The agent is rarely the weak link. Seven failure modes kill these programs, and the first two do most of the killing.

Nobody manning the seatTHE BIG ONE
Agents send from a real rep’s address, and when a prospect replies, your rep has to act: most sales-led teams rightly will not let an agent answer questions or book meetings unsupervised. The engine needs at least one of your reps in the seat, or replies, your hottest signal, die in the inbox.
Email health ignoredOUR SPECIALTY
Authentication, compliance, warm-up, volume pacing, spam-filter behavior. One burned sending domain takes the whole engine down with it, so deliverability is engineered into every build.
Empty context+
An agent that does not deeply know your ICP, offer, proof, and objections writes generic outreach. That is why the AI context layer is step one of every build.
No routing+
Agents starve without workflows feeding them the right contacts at the right moment. Enrollment criteria and routing are half the build.
Bad data+
Dead emails and stale titles burn credits and your sending domain. Data sources and an enrichment agent are part of the engine, not an afterthought.
One-agent thinking+
Research, enrichment, personalization, and follow-up are different jobs. One agent doing all four does none of them well, so every agent in the engine has one job.
No feedback loop+
Markets, ICPs, and messaging evolve. Agents only keep converting when your reps review what is working and teach them, so the review loop is built into launch.

Our approach_

01

Build the AI context_

We deploy Claude to write your HubSpot AI context: who you sell to, what you offer, proof points, objection handling, and tone. This is the layer every agent draws from, and it is why our agents do not sound like templates.

02

Stand up the agents_

Several prospecting agents, each with one job: account research, contact enrichment, personalized first-touch, and follow-up. HubSpot Breeze natively where it fits, custom Claude agents where they earn it.

03

Test on real leads_

Sandbox first, then supervised live runs on a slice of your list. We tune tone, tighten guardrails, and set escalation rules before anything sends without a human watching.

04

Wire the workflows_

Enrollment criteria and routing workflows push each contact to the right agent automatically, with suppression rules and SLA timestamps so nothing double-fires and nothing sits.

05

Launch and hand off_

A credit budget per agent and a named owner on your side, with escalation rules in place. Optional managed ops if you would rather we keep tuning it month over month.

06

Report and improve_

HubSpot’s prospecting-agent reporting is still minimal today and does not yet feed custom reports inside HubSpot. We solve it the way we did for SafetyWing: agent data linked into a single dashboard showing your full funnel, cold outreach to pipeline to revenue, with a review loop that feeds what converts back into the agents.

Charles Summers
Built by someone who ran the human version
Charles Summers · Founder, Hacking Demand
12+ years running demand gen and large, high-performing BDR teams, and known best for email that lands in the inbox. The plays, timing, and messaging that turn cold accounts into pipeline get encoded into your agents, with deliverability engineered in. It is the same system we built and run for SafetyWing.

The fuel: Breeze agents and credits_

HubSpot’s Prospecting Agent is outcome-based: it watches buying signals, builds lists, drafts personalized outreach, and books meetings, and it only spends credits when it delivers, roughly 100 credits per recommended lead. Credits list at about $10 per 1,000 ($9 on annual), every plan includes a starting allowance (500 on Starter, 3,000 on Professional, 5,000 on Enterprise), and we negotiate credit packages with HubSpot as part of every build. A credit budget per agent is included, so spend never surprises you.

50,000Credits / mo
$500List price / mo
$350–$400With avg. Hacking Demand negotiated discount

Illustrative only: 100 credits per recommended lead at $10 per 1,000 credits list. Plan-included credits offset the first 500–5,000. The discounted range shows a 20–30% average based on deals we have previously negotiated for clients. It is theoretical only, never a guarantee: final pricing is entirely HubSpot’s call and varies deal by deal.

Pricing_

Fixed scope. Free during a HubSpot trial, because HubSpot pays us as a partner when you continue, not you.

Trial build_

$0free during your HubSpot trial

For teams just starting on HubSpot, or mid-trial right now. Typically live in under a day.

  • AI context plus your first Prospecting Agent, live in your trial portal
  • Routing workflow and a credit budget included
  • Starting through our partner referral is what makes it free
  • If you continue after the trial, HubSpot pays us, not you
Start my trial build →
Done for you

Prospecting Engine_

From $6,500scoped to your stack

The full build: context, agents, tests, workflows, launch. Two to four weeks to live.

  • HubSpot AI context built by Claude
  • Several prospecting agents: research, enrichment, outreach, follow-up
  • Tested on real leads before anything sends unsupervised
  • Routing workflows, suppression rules, SLA stamps
  • Launch with a full-funnel dashboard (cold to pipeline to revenue), credit budget, and owner handoff
Book a scoping call →

Keep it running_

Custommonthly retainer

Managed agent ops after launch, for teams that want it tuned for them.

  • Monitoring and monthly tuning
  • Credit management across agents
  • New agent rollouts as you grow
  • Monthly performance report
Talk through ops →

The AI SDR Prospecting Engine, answered_

What is an AI SDR?

An AI SDR is a set of AI prospecting agents doing the work a sales development rep does before a conversation: researching accounts, enriching contacts, writing personalized outreach, and following up. On HubSpot, the core is the Breeze Prospecting Agent, extended with custom Claude agents where they earn it. Your reps still own replies and meetings; the agents handle everything before them.

How much does the AI SDR Prospecting Engine cost?

Free during a HubSpot trial: we build the core engine (AI context, first Prospecting Agent, routing workflow) at no charge while you evaluate HubSpot. The full done-for-you engine build is fixed scope from $6,500 for teams already on HubSpot, depending on agents and integrations. Ongoing managed ops is a monthly retainer.

Why would you build it free during my trial?

Because the incentives line up, and we would rather show you than pitch you. We are a HubSpot partner: if the trial build works and you continue with HubSpot, HubSpot pays us a partner commission, so you never pay for the trial build. If you decide HubSpot is not for you, you owe nothing and keep everything we set up.

What exactly do you build?

Six things: the HubSpot AI context layer (written by Claude from your ICP, offer, and proof), several prospecting agents each with one job, a testing pass on real leads with guardrails, the routing workflows that push contacts to the right agent, a launch package with credit budget and owner handoff, and a full-funnel reporting dashboard. HubSpot’s native agent reporting is still minimal, so we link the data into one view, from cold outreach to pipeline to revenue.

Breeze agents or custom Claude agents?

Both, honestly. We use HubSpot Breeze natively where it fits and custom Claude agents where they earn it. We are a HubSpot AI agent build partner and publish a vendor-neutral comparison of the two routes, so the mix is driven by your use case, not our preference.

We do not have target lists. Is that a problem?

No. Data sourcing is part of the engine: we connect partner data tools (like UpLead and Apollo, at partner pricing from our marketplace) and stand up an enrichment agent that keeps contacts fresh, so lists stop going stale.

Do the agents reply to prospects on their own?

Not unsupervised, by design. Most sales-led teams are not comfortable letting an agent answer questions or book meetings autonomously, and we agree. Agents research, personalize, send from a real rep’s address, and queue drafted replies; your rep mans the seat, approves responses, books the meetings, and feeds what they learn back into the agents. We build and tune the system; your team owns the conversations, so plan for at least one rep in the seat.

How do HubSpot AI credits work for prospecting?

Breeze agents are outcome-based: roughly 100 credits per recommended lead, at about $10 per 1,000 credits list ($9 on annual). Plans include 500 to 5,000 credits to start, and we negotiate credit packages with HubSpot as part of every build, historically around 20 to 30% off, though final pricing is always HubSpot’s call. Every build includes a credit budget per agent.

How long until agents are live?

The starting-point trial build (AI context, first Prospecting Agent, routing workflow) typically goes live in under a day. Full engines go from kickoff to live agents in two to four weeks, depending on the state of your portal. If your CRM data needs work first, we run our RevOps Cleanup before launch, because an agent on top of bad data just automates the mess.

Tools that pair with the engine_

Deals from our marketplace that come up in almost every build.

Outbound that never sleeps, on a CRM you already have.

Free scoping call: bring your stack, leave knowing your starting point and what the engine would look like on your portal.

Get my starting point →