Enrich & qualify leads with Azure OpenAI, Bright Data MCP & HubSpot CRM
π§ 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 qualifica...
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π§ 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.
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ποΈ What this automation does
| Step | Component | Purpose | |------|----------|---------| | 1 | Form Trigger | Captures a new leadβs 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 (0β100) 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 |
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π§© Data Enriched by AI The enrichment agent populates the following fields only if validated with high confidence:
Contact - Job title - LinkedIn profile - Country