Building AI agents that qualify 2,800 leads per day and scale your business to the sky

The problem with manual lead qualification

Most sales teams spend 60% of their time on leads that will never convert. SDRs manually review inbound signups, check LinkedIn profiles, cross-reference company data, and write personalised outreach — only to hear nothing back. It's slow, expensive, and doesn't scale.

We built an AI agent that handles the entire qualification layer end-to-end. It processes 2,800 leads per day, scores each one against our ICP, and routes only the best fits to our sales team — fully enriched and ready to contact.

The architecture

The system is built on three layers:

1. Data ingestion

Every new lead — from web signups, paid ads, content downloads, and partner referrals — is pushed into a central queue via webhook. The agent listens to this queue in real time.

2. Enrichment pipeline

Before scoring, the agent enriches each lead with firmographic and technographic data. It calls three APIs in parallel:

async function enrichLead(email) {
  const [company, tech, social] = await Promise.all([
    clearbit.enrichCompany(email),
    builtwith.getTechStack(email),
    linkedin.getProfile(email)
  ]);
  return { company, tech, social };
}

async function enrichLead(email) {
  const [company, tech, social] = await Promise.all([
    clearbit.enrichCompany(email),
    builtwith.getTechStack(email),
    linkedin.getProfile(email)
  ]);
  return { company, tech, social };
}

async function enrichLead(email) {
  const [company, tech, social] = await Promise.all([
    clearbit.enrichCompany(email),
    builtwith.getTechStack(email),
    linkedin.getProfile(email)
  ]);
  return { company, tech, social };
}

3. Scoring model

The agent scores each lead across five dimensions using a weighted model we calibrated against 18 months of closed-won data:

Routing logic

Leads that score above 80 are routed directly to AE calendars with a personalised intro email drafted by the agent. Scores between 50–80 go into a nurture sequence. Below 50, the agent auto-responds with relevant content and moves on.

"We went from reviewing 400 leads a day manually to having our AEs only look at leads that are already pre-qualified and enriched. Pipeline quality went up 3x in 90 days."

Results after 60 days

• 2,800 leads processed per day at peak

• Pipeline quality score improved by 3.1x

• SDR time on qualification dropped from 6 hours/day to 0

• Cost per qualified lead reduced by 67%

The full agent is built on top of our core orchestration layer. If you're building something similar, start with the enrichment pipeline — the quality of your scoring is only as good as the data underneath it.