I Built an AI Employee That Monitors My SaaS Store 24/7 — Here's the Architecture

What if your SaaS store had a full-time operations worker that never sleeps, catches every failed payment within minutes, and answers "how many customers paid today?" in Telegram — at nearly zero cost per question? That's what I built. Four modular Laravel packages, a deterministic API simulator, a two-tier AI intent classifier, a heartbeat monitoring engine with proactive workflows, and integrations with Telegram, OpenClaw, Slack, and plain HTTP. This article walks through the architecture, the reasoning behind every layer, and the real problems I solved building it. The Architecture at a Glance The system is composed of four independent Composer packages that snap together: Package Role laravel-creem SDK — HTTP client, webhook verification, event-driven architecture laravel-creem-cli Artisan CLI — mirrors the native creem CLI, works standalone laravel-creem-agent The agent — chat, heartbeat engine, proactive workflows, notifications creem-simulator Full Creem API mock — deterministic