Speculative project — built to demonstrate approach for new clients. The architecture, prompts, and integrations are production-grade and can be deployed for real clients within ~5 working days.

AI Inbound Lead Qualifier

Form fill → AI scoring → Slack alert in 60 seconds

Built in 4 hours. Production-ready.

The problem

Most B2B inbound teams waste 4 to 6 hours a week sorting leads. Most aren't qualified. The ones that are get cold while reps triage the noise. Industry research is clear: a 5-minute response time makes a lead 21 times more likely to convert versus 30 minutes. Most teams' inbound is fighting against that math because they're triaging by hand.

n8n Canvas Architecture

How it works

  • Webhook CaptureCaptures the lead form submission immediately, getting data flowing into n8n instantly.
  • LLM ScoringEvaluates the lead against your ICP returning Hot/Warm/Cold, the reasoning, and a personalized first-touch message.
  • Conditional RoutingDirects the lead based on its score to ensure the appropriate follow-up response.
  • Slack AlertSends the hot leads to a sales channel for rapid action within 60 seconds, minimizing friction.

Tech Stack

n8nOpenAI (gpt-4o-mini)SlackApollo (deferred)Airtable (deferred)

Why this matters

This workflow shifts the response window from hours to seconds, without your reps having to read every form fill. The result is zero inbox noise from cold leads and a massive boost to conversion probability for the ones that matter. The full production version adds an Apollo enrichment node to layer in deep firmographics, and an Airtable routing branch to silently log cold leads into your nurture sequences.

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