Case Studies

340% More Qualified Leads in 90 Days: How AI Replaced a 40-Hour Manual Prospecting Workflow

Quixas TeamApril 8, 20266 min readLead GenerationSales Automation

A 12-person commercial insurance sales team was spending 60% of their day on manual research, data entry, and unstructured prospecting. Quixas built a multi-agent lead intelligence system that increased qualified leads by 340%, saved 32 hours per week, and added $420K in pipeline in the first quarter.

The Problem

The sales team was managing 800+ active accounts but new business was stalling. Reps spent most of their working day on tasks that should not have required them:

  • Five to six hours a day manually researching prospects, copy-pasting into HubSpot, and building outreach sequences from scratch
  • 14,000+ CRM contacts with only 9% enrichment coverage, leaving the vast majority of the database effectively unusable for targeted outreach
  • Zero visibility into which accounts were experiencing business changes that signalled active insurance purchasing intent, every rep was prospecting blind
  • Inconsistent outreach with no systematic logic behind the sequencing or personalisation

What We Built

Automated Data Ingestion

Automated scraping pipelines pull prospect data from Apollo, LinkedIn profiles, state licensing databases, and industry directories. n8n workflows run on a weekly cadence, deduplicating against the existing CRM and flagging net-new leads for enrichment. 6,200 existing contacts were backfilled with firmographic data in week two.

RAG-Powered Enrichment Agent

A RAG-powered agent enriches each lead with firmographic data (revenue, employee count, NAICS codes), technographic signals (current insurance platforms), and contextual insights from company websites and news mentions. GPT-4 with a custom insurance vertical knowledge base.

Multi-Agent Lead Scoring

Built on LangGraph with human-in-the-loop checkpoints. Each lead is scored across four dimensions: firmographic fit, behavioral intent signals, recency of business changes (mergers, expansions, compliance events), and engagement history. The model retrains monthly on closed-won deal attributes.

Intelligent Outreach Engine

High-scoring leads are routed into personalised outreach sequences via n8n automations synced to HubSpot. Each sequence is dynamically assembled based on the lead's enrichment profile: industry-specific pain points, recent triggers, preferred channel. Follow-up cadences adapt based on engagement signals.

System Pipeline

Stage 1:  Data Ingestion       — Apollo + Web Scraping (n8n, weekly cadence)
Stage 2:  Enrichment Agent     — GPT-4 + RAG (Pinecone vector store)
Stage 3:  Lead Scoring         — LangGraph multi-agent, HITL checkpoints
Stage 4:  Outreach Engine      — n8n + HubSpot dynamic sequences
Stage 5:  Pipeline Dashboard   — Real-time alerts on high-intent accounts

Stack:    Apollo.io · LinkedIn · GPT-4 · Pinecone · LangGraph · n8n · HubSpot · Supabase

The Results

In 90 days: 340% more qualified leads, 32 hours per week returned to the sales team, 68% better lead-to-meeting conversion, and $420K in new pipeline added in Q1, sourced entirely through the automated system.

340% increase in qualified leads. Monthly qualified leads entering the pipeline grew from ~45 to 198. AI scoring filters out low-fit prospects before they consume rep time.

32 hours saved per week across the team. Sales reps reclaimed 5+ hours daily previously spent on manual research, data entry, and unstructured prospecting across spreadsheets.

68% better lead-to-meeting conversion. Personalised, trigger-based outreach sequences converted 3.4x better than the previous spray-and-pray approach to cold outreach.

$420K in pipeline added in Q1. New qualified opportunities sourced entirely through the automated system, within the first quarter of deployment.


“We went from our reps spending half their day Googling companies and copy-pasting into HubSpot, to having a system that delivers scored, enriched leads with personalised outreach already queued up. The Quixas team understood our workflow deeply and built something that actually fits how our team sells.”

VP of Sales, Regional Commercial Insurance Brokerage, Southeast US


If your sales team is spending hours on manual prospecting, see the full case study or book a free sales workflow diagnostic.

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