
The Complete Guide to AI Agent Architecture for Business Automation
AI agents are the next evolution beyond simple automation. Here's how to architect them for real business use cases. What's an AI Agent vs. a Script? A script follows a fixed path: input → process → output. An agent reasons about what to do next based on context. Script: "If email contains 'invoice', save attachment to /invoices/" Agent: "Read this email, understand the context, decide if it's an invoice, extract the data, verify against our records, flag discrepancies, and route to the right person." The Agent Architecture ┌─────────────┐ │ Orchestrator │ │ (Decision │ │ Engine) │ └───────┬───────┘ │ ┌───────────────┼───────────────┐ │ │ │ ┌──────┴──────┐ ┌─────┴──────┐ ┌─────┴──────┐ │ Perception │ │ Reasoning │ │ Action │ │ Layer │ │ Layer │ │ Layer │ └──────────────┘ └────────────┘ └────────────┘ - Read emails - Analyze - Send emails - Parse docs - Decide - Create tasks - Monitor feeds - Plan - Update CRM - Watch events - Prioritize - Generate docs Layer 1: Perception class Percept
Continue reading on Dev.to Python
Opens in a new tab




