🚀 Build in Public — Day 4 · AI Automation Society

Okasha Khan

1d • General Discussion 💬

🚀 Build in Public — Day 4

Today I completed the second core workflow of my AI Lead Qualification & Sales Automation Platform.

Yesterday I built the Lead Capture Engine.

Today I connected it to the AI Qualification Engine.

Now, every new lead can automatically move from data collection to AI-powered analysis.

✅ Workflow 01 — Lead Capture Engine

Multi-source lead intake
Data validation
Data normalization
Supabase storage
Activity logging
Production-ready error handling

⬇️ Automatically triggers

🤖 Workflow 02 — AI Qualification Engine

Retrieves newly captured lead
Builds AI-ready context
Uses AI to analyze the lead
Extracts buying intent and business insights
Generates an AI qualification summary
Updates the lead record
Creates qualification activity logs
Gracefully handles AI failures with a pending review process

Instead of stopping when AI fails, the workflow safely marks the lead for manual review, ensuring no opportunities are lost.

🚧 Platform Roadmap

✅ 01 — Lead Capture Engine

✅ 02 — AI Qualification Engine

⏳ 03 — AI Lead Scoring Engine

⏳ 04 — CRM Sync Engine

⏳ 05 — Notification Engine

⏳ 06 — Follow-Up Automation Engine

⏳ 07 — Analytics & Activity Engine

⏳ 08 — AI Sales Assistant

Every workflow is designed as an independent module that can be maintained, upgraded, and reused without affecting the rest of the platform.

The goal isn't just to automate tasks—it's to build a production-ready AI system that manages the entire sales process, from capturing leads to qualifying them, prioritizing opportunities, updating the CRM, notifying the sales team, and automating follow-ups.

Next milestone: AI Lead Scoring Engine.

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🚀 Build in Public — Day 4