Fourth Industrial · Prepared for BP Consulting / BenefitsPensions.com

Give every BDR an always-on team of AI agents.

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.

PROPOSAL BRIEF · v1 · 2026-07-05
The opportunity

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-qualified surface of your list first: warm leads, existing-relationship contacts, inbound opt-ins. Before any touch, the engine checks channel consent, jurisdiction, calling window, suppression status, and opt-outs. That is where the compliant, defensible motion already lives.

Your team, amplified
3 channels · extended hours
Voice · email · SMS. One brain per rep.
Speed to first touch
< 5 min · incl. after-hours
vs. hours, business-hours-only today
Cost per qualified meeting
~$8–$20
the same meeting your desk sets for ~$400+
Multi-channel activation

One agent, working the channels your buyers actually use.

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.

Voice & callsflagship

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.

Email

Personalized sequences and inbox replies, CAN-SPAM and CASL-clean, tuned to each contact's history. The B2B workhorse alongside the phone.

SMS

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.

What we've built

Proof we can deliver this in production.

Selected production outcomes from Fourth Industrial delivery work. Real results from AI agents we have designed, built, wired, and shipped.

Outbound · lead revival

Pulled ~6,000 live opportunities out of a written-off list

We pointed an outbound AI agent at a 100,000-record dormant list the business had already written off. Working every record across voice, email and SMS, it revived ~6% (roughly 6,000 contacts) back into live opportunities. That is pipeline recovered from a file no human team had the hours to touch: found money off a file already paid for, not net-new spend.

A similar consent-qualified outbound motion, pointed at dormant, previously-engaged records. In Discovery, we verify BP's actual consent basis before any production outreach.
✓ 100K records worked · ~6,000 revived · zero added headcount
Inbound · Meta + web booking

Converts ~32% of inbound leads into booked appointments

An inbound AI booking agent runs their Meta and website lead flow end to end: it qualifies, answers, and books, instantly and around the clock. It converts roughly 32% of inbound leads into booked appointments, with no human in the queue.

Live on Meta and website funnels; shown as proof of the qualify-and-book pattern, then adapted to BP's regulated context.
✓ ~32% lead-to-appointment · instant, 24/7 · fully autonomous
Back-office · agentic automation

Removed ~6 full-time roles of manual admin

For a consumer-financing workflow we built an agent that reads a deal's fundability and safely advances it inside the CRM, automating roughly 6 FTE of administrative overhead (~$400K+ a year) and freeing that capacity for higher-value work.

Back-office rather than appointment-setting; shown for the scale of overhead our agents remove.
✓ ~6 FTE removed · ~$400K+/yr freed · automated deal advancement
Built to operate, not just ship

Your engine keeps running after go-live

An agent that books your meetings is only worth it if it's still reliable on day 90, not just day one. Operating production multi-agent systems (shared memory, guardrails, and evals on every deployment) is our core discipline, so your engine gets monitored uptime, controlled run-cost, and a team that catches drift before your buyers ever feel it. Not a script we hand you and walk away from.

How we build and operate: agent design, guardrails, and evals are the day job, not an add-on.
✓ monitored reliability · guardrails + evals · controlled run-cost
How to read these: these are production outcomes from our own build history. Revived = dormant records that re-entered the pipeline as live opportunities (~6,000 of the 100,000 worked); conversion = booked appointments as a share of inbound leads; roles removed = manual admin the agent now completes end-to-end. The denominators and time window for your engine get measured in your own HubSpot during Discovery, and that baseline-to-lift is the number that ends up mattering most. (Third-party signal that Claude works in this vertical: HUB International and Newfront have both publicly deployed Claude across brokerage workflows.)
Proposed architecture

One brain, many channels, one HubSpot record.

HubSpot stays your system of record. Your reps keep dialing in HubSpot exactly as they do today: the AI runs alongside your native calling, not in place of it. It works on its own voice runtime (an AI voice plus a phone line to the network), with a BP-owned control layer between the voice stack and HubSpot for consent checks, retries, audit logs, and clean write-back.

Prospects Warm · EBR · inbound opt-in CHANNELS Voice Email SMS BP-owned control layer Consent · AI disclosure jurisdiction · opt-out audit log · retries REASONING BRAIN Claude Haiku/Sonnet · live turns Opus/Sonnet 5 · escalations ElevenLabs voice + SIP runtime · sub-second Qualify → Book meeting or warm-transfer HUBSPOT · SYSTEM OF RECORD Contacts · consent log · call summary / transcript if retained · Meetings booked / held ← the KPI Native meeting-outcome property. The performance fee attaches here, no custom instrumentation. read context write-back Licensed advisor takes the booked meeting LOAD-BEARING DESIGN DECISION HubSpot's native calling carries no live audio stream to a third-party AI. Its SDK is metadata-only. So the AI voice runs on its own runtime, through our control layer, and writes consent, outcome, summary and retained artifacts back into HubSpot.
Consent-first, alwaysThe agent checks the consent source, timestamp, channel, jurisdiction, DNC/suppression status, and revocations before it touches a record. It opens every call by disclosing it's an AI on behalf of BP, and dials only inside permitted contact hours.
Human-in-the-loop by designThe agent books meetings and hands off. It does not give regulated advice or make automated decisions. Any complexity trigger routes to a licensed human. That keeps the appointment engine separate from advice under Law 25 and your E&O posture.
You own everythingEvery account is yours, on your HubSpot: Claude, ElevenLabs, telephony. No rented seats, no lock-in, no markup. We build and operate. You own the asset and the data.
Why this stack

Three specialists, one system, chosen deliberately.

The brain

Why Claude

The reasoning that qualifies, handles objections, and decides to book, with the controls a licensed brokerage needs.

  • Two-speed routing: live calls use the fastest Claude model available in the voice runtime; harder reasoning can route through our control layer to higher-capability Claude models when needed.
  • Cost is negligible: ~$0.03–0.14 of model spend per call, a rounding error against a booked meeting.
  • Governable: per-workspace usage metering, DPA / zero-retention options, and a residency design that gets resolved in Discovery before any production data moves.
The voice

Why ElevenLabs

The layer that actually talks and listens on the phone, natural enough that prospects stay on the line.

  • Sub-second turn-taking, with ~75ms voice synthesis (Flash v2.5): the difference between a natural call and an obvious robot.
  • $0.08/min voice-platform rate, with speech-to-text, text-to-speech and turn-taking included; Claude model usage and telephony are metered separately.
  • Scales on concurrency, not headcount: dozens of simultaneous calls across your Toronto and Miami hours, into the evenings and weekends your desk doesn't cover.
The record

How it bolts into HubSpot

HubSpot stays the source of truth. Nothing rips or replaces. The engine reads and writes around it.

  • Reads contact, consent and history to personalize every touch.
  • Writes back the call outcome, consent event, booked meeting, and summary/transcript/recording only where BP's retention policy allows.
  • The KPI is native: meeting outcomes are measured in HubSpot, then mapped to BP's actual portal settings during Discovery.
The economics

What changes when you add the engine.

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. One note for the CFO: the two cost-per-meeting figures aren't like-for-like: the human number is fully loaded (salary, tools, overhead), the engine number is marginal run-cost on top of the fixed build. We show both honestly rather than blend them.

 A BDR todayThat BDR + the engine
Channels workedPhone, business hoursVoice · email · SMS · extended hours
Speed to first touchhours< 5 minutes
Reach~120–200 dials/day, one at a timeapproved touches at governed pace
Cost per qualified meeting~$346–$535 fully loaded~$8–$20 marginal
After-hours & weekendsnonecovered
The rep's time goes todialing + settinglive conversations & relationships

The engine's own run-cost is modeled at ~$0.12–$0.20 a minute, all-in (voice, telephony, reasoning) and dominated by the voice line. Discovery pressure-tests the sensitive inputs: consentable records, connect rate, no-shows, burst concurrency, and lead exhaustion. More reach should come with a marginal per-minute bill, but we lock the real range before build.

Commercials

A measured path from Discovery to build.

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.

What Discovery produces
Baseline economicsMeetings booked, meetings held, no-shows, speed-to-lead, current calling spend, and the real cost per held qualified meeting.
Consentable audience mapWhich records can be worked by voice, email, and SMS, by source, jurisdiction, consent basis, opt-out status, and calling window.
Operating blueprintLead ownership, rep credit, advisor routing, pacing caps, takeover rules, QA, reporting, and the kill switch.
Compliance pathAI disclosure, DNC and STOP handling, residency, retention, vendor contracts, and the counsel-review packet.
Technical proof planHubSpot validation, voice/SMS/email runtime choice, calendar flow, write-back, evals, monitoring, and implementation risks.
Fixed build SOWThe production scope, milestones, day-45 success metric, and final fixed price. If the numbers do not work, you keep the plan.
STEP 01

Paid Discovery

$12.5K · 2 weeks

We measure your real baseline (meetings, speed-to-lead, current calling spend), audit telephony, consent, retention and residency, and produce a fixed-price build plan. 100% credited to the build.

Full refund if Discovery does not produce a BP-ready go/no-go package and ≥ $100K/yr of defensible opportunity.
STEP 02

Confirmed build

Fixed, set at Discovery-end

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.

50% fee refund if the agreed day-45 metric isn't hit.
STEP 03

KPI performance upside

Tied to meetings booked

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.

Measured in HubSpot against BP's actual meeting-outcome settings.

Straight with you: we're a young firm, and you'd be an early, marquee client. That's exactly why the risk sits on us, not you: Discovery is fully credited and refundable, the build price is fixed before you sign, and half the build fee comes back if we miss the day-45 metric. You're buying a measured outcome in your own HubSpot, not our track record.