LeadForge: AI-Powered Lead Qualification Tripled Qualified Pipeline in 60 Days
An LLM-powered lead qualification chatbot combined with automated CRM enrichment and email sequences tripled the qualified pipeline and saved each sales rep 15 hours per week.
Published August 12, 2025
The Challenge
A B2B marketing agency was manually qualifying 200 inbound leads per week across a sales team of 4 reps. Each qualification required reviewing the lead form, researching the company on LinkedIn, scoring intent signals, updating the CRM, and sending a follow-up email. The average time from lead capture to first meaningful contact was 31 hours. By that point, most prospects had already spoken to a competitor.
Our Solution
Sciensify built an end-to-end lead intelligence pipeline. The entry point was a conversational AI chatbot embedded on the website that asked qualifying questions, gathered budget and timeline context, and captured service interest with a natural conversation flow rather than a static form. On form submission, an n8n automation workflow fired: it hit the LinkedIn API and Clearbit to enrich company data, passed the full lead profile to an LLM that generated a qualification score from 0 to 100 with reasoning, created the CRM record in HubSpot with all enriched data pre-populated, and triggered a personalized first-response email within 4 minutes of submission using a Resend template populated by the LLM output. High-scoring leads above 75 were automatically routed to the senior rep with a calendar invite suggestion. Weekly Power BI reports surfaced conversion rates by traffic source, lead score distribution, and rep response time.
The Results
“Our reps used to spend half their day on admin. Now the system does all the research, scores the lead, and writes the first email before they even see the notification. Close rates are up because they spend all their time on actual selling.”
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