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We just shipped the QHV Command Center—a production voice automation platform handling 8 concurrent AI agents across valet, credit repair, and real estate operations. This article breaks down the technical architecture: how we architected an 8-table Postgres schema on Supabase, built stateful webhook handlers with Edge Functions to integrate VAPI's voice AI, designed 5 frontend interfaces in React, and orchestrated 8 discrete automation scenarios (scheduling, customer intake, status callbacks) without adding infrastructure overhead. If you're running a vertically integrated business and need to scale voice AI agents without maintaining dedicated servers, this stack—Supabase + VAPI + Vercel—cuts deployment friction while keeping latency under 200ms on webhook responses. We'll walk through the schema design, webhook state management, and how to handle concurrent agent routing when a single call might trigger multiple downstream automations.