Verdigris ABM Intelligence System

Production-ready Account-Based Marketing intelligence platform that transforms research data into actionable sales strategies.

🎯 Vision: Research → Intelligence → Action

This system doesn't just collect account data - it synthesizes contextual intelligence into ready-to-execute sales actions with pre-written messaging, partnership angles, and optimal timing.

🚀 Account Command Center Features

• Opportunity Intelligence Briefing: 30-second strategic context for each account
• Priority Action Queue: Contact prioritization with synthesized next actions
• Conversation Assets: Pre-written LinkedIn messages and email templates
• Partnership Intelligence: Warm intro paths via existing vendor relationships
• Live Trigger Monitoring: Real-time opportunity detection with business context
• Competitive Positioning: Strategic advantages and conversation positioning

🏗️ Architecture: Intelligence-Driven Sales Workflow

Trigger Detection → Account Research → Contact Intelligence → Action Synthesis → Sales Execution
       ↓                    ↓              ↓                    ↓                ↓
   Market Events        ICP Scoring     LinkedIn Activity    Message Templates   Revenue
   Competitive Intel    Partnership     Role Analysis        Timing Strategy     Results
   Leadership Changes   Context         Pain Points          Intro Pathways      Closed Deals

🚀 Quick Start

1. Environment Setup

# Install dependencies
pip install -e .

# Configure environment
cp .env.template .env
# Add your API keys: NOTION_API_KEY, APOLLO_API_KEY

2. Launch Account Command Center

cd src && python3 abm_research/dashboard/abm_dashboard.py

Visit: http://localhost:8081 to see Genesis Cloud account intelligence demo

3. API Access

# Start research via API
curl -X POST -H "Content-Type: application/json" \
  -d '{"company_name":"Genesis Cloud","domain":"genesiscloud.com"}' \
  http://localhost:8081/api/research/start

# Check system health
curl http://localhost:8081/api/health

📋 Core Architecture

Consolidated System (src/abm_research/)

• core/abm_system.py: 5-phase research pipeline orchestration
• dashboard/abm_dashboard.py: Account Command Center interface
• integrations/notion_client.py: Unified Notion workspace management
• phases/: Individual research phase implementations
• intelligence/: AI-powered analysis engines

Example Account Workflow

# Genesis Cloud Intelligence Briefing generates:
1. Opportunity Brief: "10x GPU expansion + power challenges = 14-day window"
2. Priority Actions: Jennifer Martinez (VP Ops) - LinkedIn message ready
3. Partnership Angles: NVIDIA intro path identified
4. Competitive Position: vs Schneider Electric positioning prepared
5. Message Templates: Personalized outreach with CoreWeave case study

🧪 Testing & Validation

# Test consolidated system
python3 -c "from abm_research.core.abm_system import ComprehensiveABMSystem; \
  abm = ComprehensiveABMSystem(); \
  result = abm.conduct_complete_account_research('Stripe', 'stripe.com'); \
  print('✅ Research Complete:', len(result.get('contacts', [])))"

# Validate all imports
pytest tests/unit/ -v

# End-to-end integration test
python3 -c "import requests; \
  r = requests.post('http://localhost:8081/api/research/start', \
    json={'company_name': 'Test Company', 'domain': 'test.com'}); \
  print('API Response:', r.json())"

🎯 Results: From Research Data to Sales Action

Traditional ABM: "Here's contact data for Genesis Cloud" Verdigris ABM Intelligence:

🎯 GENESIS CLOUD OPPORTUNITY BRIEF
10x GPU expansion triggered by CoreWeave funding pressure.
VP Ops posted about power density challenges 3 days ago.
→ SEND: LinkedIn message with CoreWeave case study reference
→ TIMING: Next 14 days during infrastructure planning
→ INTRO: NVIDIA partnership team warm introduction available
→ POSITIONING: "Predictive monitoring prevents $2M+ expansion delays"

Impact: From hours of research → seconds of strategic execution