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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