Talk with Us

Capabilities · Sales & GTM

Pillar 03 · Captivate →

Signal-based outbound replaces the volume game

Most outbound treats every account the same. Signal-based infrastructure monitors buying triggers, researches each account at the moment of relevance, and personalizes outreach to the specific context that created the opening.

SALES & GTM DIVISION AI AGENTS Monitor signals Research accounts Draft outreach YOUR TEAM Discovery calls Deal strategy Relationship building OUTCOME Qualified meetings With signal context
The Problem Volume outbound has stopped working

Most outbound treats every account the same. The result is noise, deleted emails, and pipeline that depends on one person hitting quota.

01

Volume no longer buys attention.

Send-more-emails outbound has collapsed under its own weight. Deliverability penalties, inbox filters, and saturated buyers mean the same activity produces a fraction of the replies it did three years ago.

02

Signals identify the real buying window.

Intent signals, hiring patterns, funding events, and competitive displacement indicators reveal accounts at the moment of structural need. Outreach timed to a signal lands differently than outreach sent on a cadence.

03

The context has to match the trigger.

Generic sequences keyed to job title get deleted. Sequences keyed to a specific signal, with account-specific research in the opening line, book meetings.

04

Pipeline becomes independent of any one contributor.

The system generates opportunities whether a specific rep is at their desk or not. Capacity scales with infrastructure, not headcount.

What Gets Built Pipeline infrastructure, built to outlast the engagement

Signal-based outbound requires infrastructure. These are the pieces that AI builds and your team operates.

01
TAM mapping and scored target account list
The addressable market defined, accounts scored for fit, priority tiers set.
02
Intent signal taxonomy
Which events indicate a buying window for your ICP. Defined per industry and stage.
03
Signal monitoring infrastructure
Watches leadership changes, funding announcements, RFI publications, and regulatory events across the target account list.
04
Enrichment workflows
Real-time data on accounts and contacts as signals fire. Firmographic, technographic, and contact-level coverage.
05
AI account research workflows
The system generates account briefs covering buying committee, recent context, and signal relevance within minutes of detection.
06
Multi-channel outreach sequences
Email and LinkedIn sequences keyed to each signal type. Personalized by agent, reviewed by human.
07
Email infrastructure and warming
Deliverability setup across sending domains, inbox warming, and reputation monitoring. No sending from primary domain.
08
Response management playbooks
Templated responses for common reply types, with escalation rules for qualified interest.
09
Meeting booking automation
Calendar tooling that routes discovery calls to the right owner based on ICP fit and signal context.
10
Campaign performance dashboards
Pipeline visibility across signal category, sequence variant, and rep ownership.
How The Work Splits Agents where repetition pays, humans where judgment matters

The capability splits across three modes. Each deliverable falls into one.

Agentic · AI runs it
Signal monitoring. Agents run continuously, detect events, and trigger downstream workflows without human approval for each signal.
Assistive · AI drafts, human approves
Account research briefs, outreach personalization, response templates. AI produces the draft; a human reviews and releases.
Human-led · AI supports
Discovery calls, deal qualification, relationship building. AI prepares briefs; the conversation is yours.
Pillar 03 Captivate. The third pillar of the 100x Model
See The 100x Model →

Start here

See where your pipeline stands

The self-diagnostic scores your pipeline health across five pillars in under 10 minutes. Or book a conversation and we'll walk through it together.