One reasoning brain sits behind every channel: voice, email, and SMS. It works the top of your funnel across extended hours, into the evenings and weekends your desk doesn't cover. It books qualified meetings for your team to run. Your people spend their time on live conversations, not dialing.
Your 10 BDRs place 120–200 dials a day to set roughly 5 qualified meetings each per week. That is about 200 qualified meetings a month, on one channel, in business hours. Every rep hits the same ceiling: the number of dials one person can make in a day.
This engine lifts that ceiling. It gives each BDR a team of AI agents that works the tireless top of the funnel: the dialing, the instant follow-up across voice, email, and SMS, the after-hours speed-to-lead. Your reps stop grinding the phones. They start doing what only a human can: the live conversations, the judgment calls, the relationships. Same team, far more reach.
It works the consent-bearing surface of your list first: warm leads, existing-relationship contacts, inbound opt-ins. That is where the compliant, defensible motion already lives.
Same brain, same memory, across every channel. A prospect who takes a call, then gets an email, then replies by text is one continuous conversation, not three disconnected touches. We lead with the channels that fit a benefits and pensions buyer, and skip the consumer-DM noise.
Natural AI voice on warm and opted-in lists. It qualifies, handles objections, and books the meeting, or warm-transfers live to a rep. Sub-second, natural turn-taking, and it dials only inside permitted contact hours.
Personalized sequences and inbox replies, CAN-SPAM and CASL-clean, tuned to each contact's history. The B2B workhorse alongside the phone.
Opt-in follow-up, meeting reminders, and two-way replies that keep booked meetings from slipping. STOP honored, every message logged.
The point isn't more tools. It's one relationship. Every touch on every channel reads and writes to the same HubSpot record, so your rep inherits a warm, fully-briefed conversation instead of starting from zero.
Selected delivery work from Fourth Industrial. Clients anonymized. Shown as capability: what we have actually designed, built, wired, and test-validated.
For a ~$90M home-services company we built and activated an Agentforce voice agent. An ElevenLabs voice answers a real inbound phone number, wired into the CRM to route and book service appointments through a governed booking pipeline.
We designed and built a multichannel outbound agent whose flow is precisely what you're buying: a consent gate first (built to CASL / PIPEDA), then qualify, handle objections, and book the meeting or warm-transfer to a licensed human.
For a national consumer-financing workflow we built an agent that reads a loan's fundability and safely advances deals inside the CRM. Delivered with 119 / 119 passing tests and 100% code coverage across the shipped logic, plus a fully-mocked integration layer.
Our own operation runs a 23-agent Claude orchestration with shared memory, guardrails, and cost-controlled inference (blended cloud + local models). It's the muscle behind building your engine: agent design, evals, and guardrails are our day job.
HubSpot stays your system of record. The AI voice runs on its own runtime and writes every call, consent, and booked meeting back to HubSpot via API.
The reasoning that qualifies, handles objections, and decides to book, with the controls a licensed brokerage needs.
The layer that actually talks and listens on the phone, natural enough that prospects stay on the line.
HubSpot stays the source of truth. Nothing rips or replaces. The engine reads and writes around it.
Per rep, at your stated volumes: the same person, now with an AI team working every channel across extended hours. Illustrative; the real numbers get locked in Discovery.
| A BDR today | That BDR + the engine | |
|---|---|---|
| Channels worked | Phone, business hours | Voice · email · SMS · extended hours |
| Speed to first touch | hours | < 5 minutes |
| Reach | ~120–200 dials/day, one at a time | thousands of touches, in parallel |
| Cost per qualified meeting | ~$346 – $535 | ~$8 – $20 marginal |
| After-hours & weekends | none | covered |
| The rep's time goes to | dialing + setting | live conversations & relationships |
The engine's own run-cost is ~$0.12–$0.20 a minute, all-in (voice, telephony, reasoning) and dominated by the voice line. The AI reasoning behind it is nearly free. That range is the independent, benchmarked figure, not a best case. So more reach and more booked meetings don't come with a bigger headcount bill. They come with a marginal per-minute one.
Discovery is fixed and credited. The build price is confirmed only after Discovery, so you sign a known number. Our upside comes from meetings you didn't have before.
We measure your real baseline (meetings, speed-to-lead, current calling spend), audit telephony, consent and residency, and produce a fixed-price build plan. 100% credited to the build.
Once Discovery measures the real inputs, we lock a fixed build price. You sign a known number, not an estimate. Milestone-gated payments across a ~45-day sprint to a live, evaluated engine.
Above your locked ~200/mo baseline, we earn on net-new held qualified meetings: a per-meeting bounty or a capped share of the gain. Self-funding: we earn more only when you book more than you do today.