Atlas Console
A support copilot that triages tickets, drafts replies, and surfaces at-risk accounts for B2B SaaS teams.
Overview
Atlas Console is an AI support copilot built for B2B SaaS teams. It triages incoming tickets, drafts contextual replies, and flags accounts showing declining usage — so CS teams spend less time in the inbox and more time on retention.
Key Features
- Ticket triage: Classifies and prioritizes support requests with LLM-assisted routing
- Draft replies: Generates on-brand responses grounded in product docs and past resolutions
- At-risk accounts: Surfaces accounts with declining usage and suggests win-back actions
- Real-time backend: Convex-powered data layer with reactive updates across the console
Technologies Used
- Next.js — App Router dashboard and API routes
- Convex — Real-time database and server functions
- LLM + RAG — Multi-provider integration with retrieval over support knowledge bases
Outcome
A production-ready copilot workflow that cuts first-response time and gives CS teams a single place to ask questions about their customer base.