B2B SaaS
AI Lead Qualification Engine
How we built an AI system that systematically increased qualified demo bookings by 74% and added $2.1M to pipeline in 6 months.
74%
More Qualified Demos
4.2% → 7.3% lead-to-demo rate
$2.1M
Pipeline Added
6-month period
120hrs
SDR Hours Saved
Per month
The Problem
A high-ticket B2B SaaS company (avg deal: $48K/year) was drowning in unqualified leads. 60% of SDR time wasted on tire-kickers. No systematic lead scoring.
The Solution: AI-Powered Qualification
- GPT-4 analysis of form submissions (company size, intent signals, use case fit)
- Auto-enrichment via Clearbit + LinkedIn APIs
- HubSpot integration (lead scoring, property updates)
- Slack alerts for high-intent prospects (score > 75)
Technologies Used
- → OpenAI GPT-4 (structured outputs via function calling)
- → HubSpot CRM API
- → Next.js API Routes (Edge)
- → Upstash Redis (rate limiting, caching)
Results
- ✅ Lead-to-demo rate: 4.2% → 7.3%
- ✅ Demo-to-close rate: 12% → 18% (better qualification)
- ✅ SDR capacity recovered: 120 hours/month
- ✅ Pipeline value added: $2.1M (6 months)
"The AI engine doesn't just score leads — it's become our most valuable SDR. It never sleeps, never misses intent signals, and routes hot leads instantly."