Recovering Sales Velocity: Automating Lead Qualification with n8n & Gemini

Описание: Episode 1: Solving the Lead Triage Bottleneck

Most sales teams are slowed down by manual lead triage. This video breaks down the exact architecture I used to automate that reasoning—turning raw Salesforce data into categorised, high-priority actions using n8n and Gemini.

We aren't just sending "automated" emails; we're using AI to analyse intent and execute the next step based on lead quality so your team can focus on high-value relationships.

The Technical Build:

• Ingestion: Pulling raw data from Salesforce with automated guardrails to prevent duplication and reduce API costs.

• Reasoning: Using Gemini 1.5 Pro to turn unstructured inquiries into structured JSON priority scores (Fit, Intent, and Urgency).

• Execution: Routing high-value alerts to Slack for immediate action while delivering personalised strategy assets via Gmail for mid-market leads.

• Architecture: A cloud-native setup that fetches intellectual property directly from secure storage (Google Drive) for every outbound reach-out.

The "Data-Brain-Muscle" Framework:
This methodology isn't limited to Sales. Whether it’s Customer Success, Real Estate, or Operations, the architecture remains the same: stop doing the manual "thinking" and build a system to handle the reasoning at scale.

Connect with IntelligentChoice:
🔗 LinkedIn:   / tcshaw92  
🌐 Website: https://intelligentchoice.digital/

#n8n #Salesforce #AIOps #AutomationArchitecture #IntelligentChoice #GeminiAI