AI Email Copilot Cuts B2B Response Time 68%
SpeedMVPs built a Gmail-integrated AI email copilot using GPT-4o with RAG over the team's HubSpot CRM and historical email corpus, surfacing deal context and suggested replies inline. The product shipped as a Chrome extension backed by a Next.js API layer on Vercel, with pgvector on Supabase for thread-level semantic search and a fine-tuned tone classifier to match each rep's writing style.
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3 Weeks
Timeline
Project Overview
1
What We Built
- SpeedMVPs built a Gmail-integrated AI email copilot using GPT-4o with RAG over the team's HubSpot CRM and historical email corpus, surfacing deal context and suggested replies inline. The product shipped as a Chrome extension backed by a Next.js API layer on Vercel, with pgvector on Supabase for thread-level semantic search and a fine-tuned tone classifier to match each rep's writing style.
2
The Challenge
- Clearpath's 40-person sales and customer success team was spending 3+ hours daily managing email: drafting follow-ups, triaging support threads, and summarizing long chains before replying. Generic email tools offered no context about their CRM data or deal stage, forcing reps to context-switch constantly. Response quality was inconsistent and average first-reply time had climbed to 6.2 hours.
3
Our Solution
- One-click AI reply drafting with deal-stage-aware context pulled from HubSpot
- Semantic thread summarization for email chains longer than 10 messages
- Priority triage engine that classifies incoming email by urgency and topic
- Per-rep tone fingerprinting so drafts match individual writing styles
- Inline snippet library with RAG-powered search over past high-performing emails