CASE STUDY v1.0

DEPLOYMENT STRATEGY

Building the Signal Refinery for Computer Vision Security GTM

Leon Basin, MBA
Revenue Architect • BASIN::NEXUS v10.0
Pro Bono Case Study

THE PROBLEM

Dictionary vs. Signal

The Dictionary

CRMs store data but don't interpret it
40+ hrs/week spent mining for intent
24-48 hour gap between signal and action
SDRs are "human search engines"
PMMs deliver dictionaries, not signals

The Signal

LLM Reasoning Agent scores every signal
>0.8 score = immediate human handoff
5 words, not a dictionary
n8n orchestrates Slack/CRM sync
Humans only touch high-probability leads

"Most teams solve GTM with headcount. I solve it with architecture."

THE AMBIENT BRIDGE

Same Architecture, Different Data

Computer Vision Security

Video Noise → AI Refinery → Security Threat

Basin::Nexus

Market Noise → AI Refinery → Revenue Signal

LAYER 1 (TOP) — INGESTION

Apollo API • LinkedIn Scraper • GitHub Webhooks • Funding Alerts
50k signals/day ingested

LAYER 2 (MIDDLE) — REFINERY 🔥

Gemini/GPT-4 Reasoning Agent
>0.8 = HOT (immediate handoff) | 0.5-0.8 = WARM (nurture) | <0.5 = COLD (archive)
"Is this noise or pre-incident indicator?"

LAYER 3 (BOTTOM) — HANDOFF

HIGH-SIGNAL SDR → Strategic Brief via Slack/n8n → The Meeting
AUTOMATED NURTURE → Email Sequence → CRM Archive

"This is the Refinery. Most companies skip this layer. That's why reps burn out—they're processing raw sewage."

UNIT ECONOMICS

Traditional vs. Bifurcated Model

METRIC	TRADITIONAL SDR	BIFURCATED (NEXUS)	DELTA
Team Size	10 SDRs ($800k OTE)	1 GTM Eng + 3 SDRs ($560k)	-70% headcount
Manual Work (weekly)	400 hrs (40 × 10)	30 hrs (10 × 3)	-92% toil
Signal→Outreach	24-48 hours	<5 minutes	-99.7% latency
Qualified Meetings/Mo	100 (10/SDR)	150 (50/SDR)	+50% output
Cost Per Meeting	$670	$211	-68% CAC
Annual Cost	$804k baseline	$380k total	$424K SAVED

The Machine Handles

Signal detection (GitHub, LinkedIn, funding)
LLM-powered ICP scoring
Contextual enrichment via Clay
Initial outreach (low-complexity)
CRM sync and data normalization

The Human Handles

Executive ghostwriting
Complex objection handling
Multi-threaded deal navigation
Trust-building and closing
High-stakes meeting orchestration

"Code is the new revenue capacity. Headcount is no longer a proxy for growth."

— Series A Cybersecurity Implementation: 160% Pipeline Growth, Zero Additional Headcount

30-60-90 DEPLOYMENT

The Roadmap

Month 1: Audit the Signal Pipeline

DELIVERABLE: Friction Report

Map current signal-to-CRM flow • Interview reps: Where do leads die? • Identify latency leaks (research, data entry, handoffs) • Shadow 10 discovery calls

Month 2: Build the Refinery (Pilot)

DELIVERABLE: Pilot Metrics

Select 1 vertical (e.g., Critical Infrastructure) • Pilot with 2 reps • Build LLM scoring agent for that ICP • Test: Does the scoring surface real signal?

Month 3: Scale the Velocity

DELIVERABLE: Full Deployment

Expand Refinery to all verticals • Full bifurcation: 1 GTM Eng + Optimized SDR team • Replace brute-force prospecting with architecture • Continuous improvement: Weekly signal quality reviews

"I don't do learning tours. I do deployment.
I want to build the Signal Refinery that makes Ambient's sales team
the most efficient in the industry."