IAE: MODEL 1

intelligence before
automation

Intent Agent Engine with multi-level agency architecture. Intelligence layer learns from your closed deals and scores every lead. Execution agents handle outreach on high-probability targets only. Continuous feedback loop. Google Cloud native. 10x better response rates.

book a demo see how it works ↓

the problem with current automation

❌ Traditional LinkedIn Automation
  • • Scrape 10,000 leads from Apollo
  • • Send generic template to everyone
  • • 0.5% response rate (50 responses)
  • • Burn domain reputation
  • • No learning or improvement
✓ Intel Engine Approach
  • • Analyze your 50+ closed deals
  • • Build ICP model from YOUR wins
  • • Score all 10,000 leads
  • • Contact only top 500 A-tier (5%)
  • • 5-10% response rate (250+ responses)

Result: 5x more meetings from 95% less outreach

Focus on the right leads, not all leads.

how it works

Intelligence Layer: Data Ingestion

Connects to your data sources and learns from your historical wins

Data Sources:
  • • Apollo.io (firmographics)
  • • Sales Navigator (LinkedIn signals)
  • • HubSpot/CRM (closed deals)
  • • Clearbit (enrichment)
What It Learns:
  • • Which verticals close fastest
  • • Optimal company size range
  • • Tech stack compatibility
  • • Funding stage patterns

Intelligence Layer: ICP Model Training

Builds dynamic scoring model from YOUR closed deals (not industry averages)

Example Pattern Discovered:
"Series A fintech companies with 20-50 employees
using Salesforce convert at 42% in 45 days.
Healthcare takes 6+ months (deprioritize)."

Intelligence Layer: Lead Scoring

Scores every prospect 0-100 and prioritizes A/B/C tiers

  • • A-Tier (80-100): Top 5% of leads, highest conversion probability
  • • B-Tier (60-79): Good fit, contact after A-tier exhausted
  • • C-Tier (below 60): Low probability, skip or deprioritize

Model 1 Output

IAE: Model 1 delivers scored leads with detailed reasoning. What you do with them is up to you.

A-Tier Leads (Score: 85+)
• Stripe - Score: 94 - Series A fintech, 35 employees, uses Salesforce
• Plaid - Score: 89 - Series A fintech, 28 employees, recent $50M raise
• Brex - Score: 87 - Series B fintech, 45 employees, fast growth signals
Intelligence insights ready. Add IAE: Model 2 for execution or export for manual outreach.

build your intelligence workflow

IAE: Model 2

Execution Layer. Takes your scored A-tier leads and executes personalized outreach across LinkedIn and email. Meeting intelligence captures insights and feeds them back to M1.

  • • LinkedIn connection requests
  • • Personalized email campaigns
  • • Meeting transcription and action items
  • • Response tracking and conversion analytics
  • • Feedback loop to improve M1 accuracy
A la carte $1,997/mo
M1+M2 bundle $2,997/mo

Save $497/mo with bundle

IAE: Model 3

Support Intelligence. Monitors your support tickets, identifies customer pain points, predicts churn risk, drafts responses using M2 execution layer.

  • • Zendesk/Intercom integration
  • • Urgent ticket escalation (4 min vs 4 hours)
  • • Response drafting with human approval
  • • Churn prediction signals to M1
  • • Customer health scoring
A la carte $997/mo
Full stack bundle $3,997/mo

Save $1,491/mo with full stack

Additional Data Connectors

Model 1 includes ONE data source connector (Apollo, Sales Navigator, or HubSpot). Add more sources for richer intelligence.

Apollo.io
+$197/mo
Sales Navigator
+$197/mo
HubSpot
+$197/mo
Clearbit
+$197/mo
ZoomInfo
+$197/mo

roi breakdown

Traditional SDR Team

3 SDRs × $75K salary $225K/yr
Benefits (30%) $67K/yr
Tools (Apollo, Sales Nav) $12K/yr
Total Annual Cost $304K

IAE: Model 1

Managed service $18K/yr
One-time setup $22.5K
Data sources (Apollo, etc) $3K/yr
Total Year 1 Cost $43.5K
Save $260K in Year 1
86% cost reduction + 10x better response rates

technical architecture

Intelligence Layer

  • • Vertex AI (Anthropic Claude)
  • • Cloud Run (containerized)
  • • Firestore (real-time data)
  • • BigQuery (analytics)
  • • Google Cloud SDK

Execution Agents

  • • Cloud Run (multi-agent)
  • • Pub/Sub (event-driven)
  • • Cloud Functions (automation)
  • • Firestore (state management)
  • • Google Cloud APIs

Multi-Level Agency

Intelligence layer orchestrates multiple execution agents using Google Cloud Pub/Sub for async communication

Intelligence → Pub/Sub → Execution Agents
Execution Agents → Firestore → Intelligence
Intelligence: Update model and improve

pricing

SELF-SERVE
$497/mo
  • Docker containers delivered
  • You deploy on your infrastructure
  • Email support (24h response)
  • Full source code access
Get Started
RECOMMENDED
MANAGED
$1,497/mo
  • We host and manage everything
  • 99.9% uptime SLA
  • Priority support (4h response)
  • Monitoring & auto-scaling
  • Export your data anytime
Get Started
CUSTOM BUILD
$15-30K setup
  • Bespoke integrations
  • Custom ML model tuning
  • Industry-specific workflows
  • 90-day optimization period
  • + $497/mo maintenance
Discuss Build

ready to 10x your outbound?

Book a 15-minute demo to see IAE in action with your data.

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jeremy@intentsolutions.io · no contracts · export your data anytime