Lesson 99 lessons
Capstone: Build a Full Lead-to-CRM Pipeline
The pipeline goal
A new lead fills a form → AI enriches/scores the lead → the lead is added to your CRM with the right tags → a router sends hot leads to an instant Slack alert and everyone else to a nurture list.
Assembling the full scenario
Webhook/Form trigger → OpenAI module scores and categorizes → CRM module (e.g., HubSpot, Airtable) creates/updates the record → Router branches on score → Slack alert for hot leads, spreadsheet log for others.
Hardening for production
Add error handlers on every module (Lesson 7), test with edge-case submissions (empty fields, duplicate leads), and monitor execution history weekly to catch any drift in AI scoring quality.
Key Takeaways
- A full pipeline combines a trigger, AI enrichment, CRM action, and routing.
- AI scoring plus a router automates lead prioritization end-to-end.
- Error handlers on every module make the pipeline production-safe.
- Regular monitoring catches AI scoring drift before it causes missed opportunities.
Ship your lead-to-CRM pipeline
Build the complete pipeline from form trigger through AI scoring, CRM update, and Slack/spreadsheet routing. Test with 3 different lead profiles.