One lead. Voice, email, SMS. One Brain.
Single-channel tools bounce, and humans cannot hold the thread across three apps. Alex, Mia, and Zara work the same lead under one Brain.
What this looks like for multi-channel
Multi-channel fails in a real stack because the channels live in different tools: email in a sequencer, phone in a dialer, SMS bolted on the side. Nobody is dragging context across three apps on a Saturday, so the buyer hears three voices, the text asks what the call already answered, and attribution cannot say which touch moved the deal. In AI Sales Console, Alex, Mia, and Zara work the same person under one Brain, so the next touch knows the last one.
You set the mix: who may be called, emailed, or texted, and the quiet hours. The Brain sequences the next channel from what actually happened, carries context across every touch, and records which one moved the lead. You review, and your edits teach it under Earned Autonomy. TCPA consent framing, quiet hours, and opt-out apply on every channel we run. Team is $1,999 a month for 250 leads worked across all three channels.
Why does multi-channel fail in a real stack?
- Channel silos - Email in a sequencer, phone in a dialer, SMS bolted on the side.
- Coordination - Nobody is dragging chips across three apps on a Saturday.
- Inconsistent message - Three tools, three voices, one confused buyer.
- Attribution mess - You cannot see which touch actually moved it.
It means Alex, Mia, and Zara work the same person under one Brain, so the next touch knows the last one.
- Channel choice from behavior - Open, miss, reply. Signals you can see
- One sequence, three channels - Voice, email, and SMS. Not ads, chat widgets, or WhatsApp
- Cross-channel context - Every touch knows what the others did
- TCPA, CAN-SPAM, opt-out - On the channels we run, with quiet hours in front
How do you start?
You set the mix
Who can be called, emailed, texted. Quiet hours
The Brain sequences
It picks the next channel from what actually happened
Context carries
The SMS does not ask what the call already answered
You review
Earned Autonomy. Your edits teach it
What it actually does.
Channel choice from behavior
Open, miss, reply. Signals you can see
One sequence, three channels
Voice, email, and SMS. Not ads, chat widgets, or WhatsApp
Cross-channel context
Every touch knows what the others did
TCPA, CAN-SPAM, opt-out
On the channels we run, with quiet hours in front
Reporting into your CRM
Not a fourth dashboard to log into
You approve the campaign
Earned Autonomy asks before it takes the next inch
Capacity and plan facts
What the plan includes and what the system can run. Not an outcome rate we cannot back.
Human SDR figures ($11,200-$12,800 a month fully loaded) derive from The Bridge Group 2025 SDR report (on-target earnings), BLS employer-cost release (employer load on payroll), RepVue (SDR compensation), plus a typical tool stack and a manager's share. The cost-per-meeting figure divides that loaded cost by a 10-14.6 meetings-a-month median; it is derived, not a published price. Our own numbers are plan prices and capacity, never outcome promises. Model it on the AI SDR cost calculator.
Related Use Cases
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