AI & Automation for Lead Qualification & Enrichment in HubSpot
John Akhilomen
Verified
A system of AI Agents for Lead Qualification, Classification & Enrichment in HubSpot (n8n & CrunchBase)
Project Overview
Built a system of AI-agents that enriches and classifies HubSpot leads using CrunchBase, external APIs, Data Scrapping, and Web hooks, to improve lead quality, CRM data quality and enable smarter sales prioritization.
Solution Architecture
A system of AI Agents orchestrated in n8n that:
Triggers on new or updated HubSpot leads
Scrapes Data
Runs a scheduler that automatically updates data daily via grouped batches.
Enriches company and contact data using CrunchBase and other APIs and Web hooks
Normalizes and validates firmographic data
Applies AI-based classification logic to:
Score lead quality
Assign lifecycle stage
Route leads to appropriate pipelines or owners
Results & Impact
Improved lead qualification accuracy and consistency
Faster sales response times for high-value leads
Cleaner CRM data with standardized firmographics
Scalable architecture ready for additional data sources
Reduced LLM costs by up to 90% after strategic optimization of existing AI Agents
Skills
AI Automation
AI Engineering
CRM Integration
Workflow Orchestration
Lead Enrichment
AI Agents
Systems Integration
Data Scraping
Automation Engineering
Lead Generation
Tools
n8n
HubSpot
Crunchbase API
OpenAI / LLM APIs
REST APIs
Web hooks
Python
JavaScript/TypeScript
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Posted Feb 4, 2026
A system of AI agents with CrunchBase, External APIs, Data Scrapping, and Web hooks Integration for lead quality, enrichment and classification in HubSpot.
Likes
1
Views
4
Timeline
Jan 29, 2026 - Ongoing
Clients
OGAdvisors
