📍 CONTEXT

A sales organization (GrowthLab / internal AI system) processes inbound B2B leads generated from a website.

The existing sales process relied heavily on manual lead qualification and lacked structured analytics, resulting in lost opportunities, delayed responses, and no visibility into funnel performance.

The goal was to build a unified AI-driven sales ecosystem that automates lead qualification, connects CRM data with conversations, and provides real-time executive insights.

🚨 PROBLEM

• lead qualification was fully manual and slow
• sales team could not process all incoming requests on time
• ~75% of time was spent on non-target leads
• no standardized BANT scoring system
• conversion rate was only ~5% due to poor lead filtering
• no conversation analysis or feedback loop for improvement
• CEO reporting was manual, delayed, and performed once per month

⚙️ SOLUTION

A complete AI Sales Ecosystem was built in n8n, consisting of three interconnected workflows:

• AI chatbot performs automated BANT-based lead qualification
• Postgres memory stores full conversation context per lead
• qualified leads are automatically created in Zoho CRM
• all conversations are continuously analyzed by AI