AI Agent/B2B SaaS

AI Lead Qualifier That Books Meetings While You Sleep

4hrs → 3min

Response Time

+62%

Meetings Booked

Additional Headcount

24/7

Coverage

The Challenge

A Series B SaaS company with 200+ inbound leads per week was bleeding deals. Their sales team averaged a 4-hour response time — by then, prospects had already booked demos with two competitors. They tried hiring more SDRs, but onboarding was slow and inconsistent. They needed a system that could qualify leads instantly, 24/7, without adding headcount.

Our Solution

We built an AI-powered lead qualification agent that plugs directly into their existing CRM and website chat.

Intelligent Lead Scoring with LangChain

Built a LangChain agent connected to GPT-4 that analyzes every inbound lead against their ICP criteria — company size, industry, tech stack, and buying signals — pulling enrichment data from Clearbit in real time.

Conversational Qualification via N8N

Designed an N8N workflow that triggers when a lead hits their website. The AI agent engages in natural conversation, asks qualifying questions, and routes hot leads directly to the right AE based on territory and deal size.

Auto-Booking with Calendar Sync

Connected to Calendly via API so qualified leads can book a meeting instantly. The agent checks AE availability, suggests times, and sends a personalized confirmation — all without human intervention.

CRM Sync & Slack Alerts

Every interaction is logged to HubSpot with full conversation history, lead score, and qualification notes. Hot leads trigger an instant Slack notification to the assigned AE with a deal summary.

Tech Stack

Built With

Delivered in 3 weeks

LangChain

AI agent orchestration

GPT-4

Lead qualification & conversation

N8N

Workflow automation

HubSpot

CRM & pipeline management

Calendly

Meeting scheduling

Clearbit

Lead enrichment

Slack

Team notifications

The Outcome

Response time dropped from 4 hours to under 3 minutes. Qualified meeting bookings increased 62% in the first month. The 3-person SDR team was redeployed to strategic accounts, and the company saved $180K/year in planned hires.