Case StudyDEMO DATA
Lead-Finder Agent
Autonomous sales agent that researches prospects and drafts personalized outreach.
Industry
SaaS (demo)
Timeline
4 weeks
Stack
Python, LangChain, Airtable API, OpenAI, Zapier
Role
Agent Development + Integration + Workflow
Problem
Sales team spent 60% of time on manual lead research and outreach prep instead of actual selling conversations.
Approach
Built autonomous agent that scrapes LinkedIn/company sites, enriches contact data via APIs, scores lead fit against ICP, and drafts personalized outreach sequences. Integrated with existing CRM workflow.
Results
⚠️ Demo data for portfolio purposes
67%
reduction in lead research time
2.3x
higher response rates from outreach
85%
lead scoring accuracy vs manual
Key Features
1
ICP configuration with scoring criteria
2
Lead discovery pipeline with AI filtering
3
Contact enrichment with data sources
4
Outreach sequence templates with personalization
5
Lead scoring dashboard with fit analysis