Short description

Built an AI sales pipeline of three connected n8n workflows. A chatbot qualifies website leads using the BANT model, scores them from 0 to 100 and saves them to Zoho CRM. A second workflow analyzes every dialogue for mistakes, client pain points and successful patterns, logging results to Google Sheets and Telegram. A third calculates a Deal Health Score from CRM data and sends the CEO a report with a close forecast and top-3 risks every Friday.

🔹Title

Lead qualification → dialogue quality control → deal health monitoring

🔹Context

Proof of Concept
Industry: Marketing agency / Services
Process: Chat leads → AI qualification → CRM → dialogue analysis → deal monitoring

🔹Problem

Every stage of the sales funnel was handled manually and depended on individual managers.

The main challenges were:

manually qualifying incoming leads (budget, authority, need, timeline);
slow first response outside working hours;
no systematic review of manager and bot conversations;
risky or stalled deals noticed too late;
no single view of the sales funnel for the CEO.

🔹Solution

Built a three-workflow AI sales system that:

Workflow	Trigger	What it does	Output
1. Lead Qualification	Chat message	BANT dialogue, scoring 0–100	Lead in Zoho CRM
2. Dialogue Analysis	Schedule	Finds mistakes, pain points, patterns	Google Sheets + Telegram summary
3. Deal Health	Schedule	Scores deals from CRM data	CEO report

Short description

🔹Title

🔹Context

🔹Problem

🔹Solution

🔹Process