Enrich & qualify leads with Azure OpenAI, Bright Data MCP & HubSpot CRM

Name: Enrich & qualify leads with Azure OpenAI, Bright Data MCP & HubSpot CRM
Availability: InStock
Author: Sparsh From Automation Jinn

Enrich & qualify leads with Azure OpenAI, Bright Data MCP & HubSpot CRM preview

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Important notice

This workflow is provided as-is. Please review and test before using in production.

Overview

🧠 AI Lead Enricher & Qualifier using Bright Data MCP and Hubspot

This workflow automatically enriches inbound leads, evaluates their business fit, updates HubSpot, and alerts the team only when a lead meets qualification criteria. It eliminates manual research and scoring while keeping CRM data clean and complete.

🏗️ What this automation does

Step	Component	Purpose
1	Form Trigger	Captures a new lead’s Name + Email
2	AI Lead Enricher Agent	Uses Azure OpenAI + Bright Data MCP to search the public web and fill missing contact + company details
3	Structured Output Parser	Ensures AI returns clean JSON in a strict schema
4	Lead Scoring Agent	Calculates a numeric Fit Score (0–100) based on ICP match
5	IF Logic	Routes the lead based on Fit Score threshold (> 70 = qualified)
6	HubSpot Actions	Updates/creates Contact & Company with enriched properties
7	Slack Notification	Sends high-quality leads to the team instantly

🧩 Data Enriched by AI

The enrichment agent populates the following fields only if validated with high confidence:

Contact

Job title
LinkedIn profile
Country

Company

Company name
LinkedIn company page
Industry
Number of employees
Annual revenue
Description
Headquarters (country & city)
Funding raised

If reliable data is not found → field stays "" (no hallucination, no guessing).

🎯 Lead Qualification Strategy

The Fit Score (0–100) evaluates how aligned the lead is with a: > B2B automation / AI / RevOps agency targeting SaaS and tech companies

Score increases for:

SaaS / tech / B2B service industries
Mid-size or high-growth teams
High-responsibility job titles (Founder, COO, Head of Ops, RevOps, CTO)
Funding raised or traction signals

🔔 Resulting CRM + Team Workflow

Fit Score	CRM Update	Slack Notification
`>` (qualified)	Contact + Company updated	YES — sales alert sent
`≤ 70` (not qualified)	Contact + Company updated	No notification

This ensures:

CRM always stays enriched and structured
Sales only sees high-potential leads
No lead is ever dropped or ignored

🌟 Why this automation is powerful

✔ 0 manual research
✔ 0 manual lead scoring
✔ Real-time alerts for high-value leads
✔ Eliminates poor data quality in HubSpot
✔ Works instantly on every form submission

🔧 Ideal use cases

Agencies generating inbound leads
SaaS companies with SDR teams
RevOps teams improving CRM hygiene
Lead qualification before booking calls

📌 Key Integrations

Azure OpenAI
Bright Data MCP
HubSpot (Contacts & Companies)
Slack
n8n Form Trigger

This workflow can run fully autonomously or be extended with:

Calendly auto-booking for qualified leads
Sales sequence automation
CRM lifecycle stage updates
Forecasting dashboards

Sparsh From Automation Jinn

3 workflows

Nodes

@n8n/n8n-nodes-langchain.lmchatazureopenai @n8n/n8n-nodes-langchain.mcpclienttool @n8n/n8n-nodes-langchain.outputparserstructured n8n-nodes-base.hubspot n8n-nodes-base.formtrigger @n8n/n8n-nodes-langchain.agent n8n-nodes-base.if n8n-nodes-base.slack

Complexity

advanced

Published 27 Nov 2025

Likes 0

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Install path: /data/workflows/11258/11258.json

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Enrich & qualify leads with Azure OpenAI, Bright Data MCP & HubSpot CRM

Workflow preview

Important notice

Overview

🧠 AI Lead Enricher & Qualifier using Bright Data MCP and Hubspot

🏗️ What this automation does

🧩 Data Enriched by AI

Contact

Company

🎯 Lead Qualification Strategy

🔔 Resulting CRM + Team Workflow

🌟 Why this automation is powerful

🔧 Ideal use cases

📌 Key Integrations