The client’s sales team was spending 60% of their time on manual prospecting — researching companies, finding contacts, writing outreach emails, and logging activities in HubSpot. Generic outreach templates produced low reply rates. Pipeline growth had stalled despite increasing headcount.
We built an AI-powered sales automation system with three core capabilities: (1) AI lead scoring using OpenAI to analyze company fit from Apollo.io data, (2) automated multi-channel outreach sequences with LLM-generated personalized emails, and (3) bi-directional CRM sync with HubSpot. The entire pipeline runs on n8n with Python microservices for AI processing.
We went from 60% of our sales team's time on manual research to 15 hours a week saved per rep. The pipeline impact was immediate and measurable.
— VP Sales, US/Canada B2B SaaS (under NDA)