AI Lead Scoring & Enrichment Pipeline
An n8n workflow that catches inbound leads, enriches them through Apollo, scores them with GPT, and routes hot ones to Slack — built end to end as a fail-safe system.
I build the orchestration layer that takes a raw form submission, pulls the lead's company data from Apollo, asks GPT-4o-mini to score the lead and write a personalized opening line, then routes high-value prospects to a Slack channel with the hook ready to use. Built on n8n with real fail-safes, not a brittle no-code stitch.
What is included
- →A webhook endpoint your forms or CRM can post to directly
- →Apollo enrichment with secure header authentication, not URL-leaked keys
- →GPT-4o-mini scoring with strict structured JSON output, no broken downstream nodes
- →Conditional routing that splits hot leads to Slack from cold leads to a CRM or sheet
- →Fail-safes so a downed API or rate limit does not silently swallow leads
What you get
- →A running, tested workflow on your n8n instance (self-hosted or cloud)
- →Exported workflow JSON you keep
- →A short walkthrough video so your team can run and edit it confidently
Three tiers: a single-trigger workflow from $450, a multi-step routing system from $850, or the full architecture with custom scoring logic and fail-safes from $1,500.
Do I need to pay for Apollo, OpenAI, or n8n?
Often no. Apollo's free tier covers ten thousand enrichments a month, OpenAI on gpt-4o-mini is fractions of a cent per lead, and n8n can run self-hosted on a small server. I will size the costs for your volume during scoping.
Can it route to my CRM instead of Slack?
Yes. Slack is the default hot-lead alert because it is the fastest path to a human, but the routing nodes can post to HubSpot, GoHighLevel, Salesforce, or anywhere else with an API.
What does the scoring actually look like?
GPT scores each lead one to ten based on whatever criteria matter to you (company size, industry, revenue band, geography) and writes a one-sentence opening hook tailored to that company. You see exactly the prompt and you can tune it.
Will it break when an API has a bad day?
No. There are explicit error paths and retries for Apollo and OpenAI, and failures get logged so you know what happened. That is the whole point of building it as engineering, not a no-code chain.
A real build of this service. View the full case study →
