Week 11 - Enterprise Agentic Systems on AI Platform Engineering Handbook

Enterprise AI Agents & Multi-Agent Systems

Mon, 01 Jan 0001 00:00:00 +0000

1. Enterprise Agent Design

To understand enterprise agent design, you first need to understand what makes an AI agent different from a simple AI assistant. When you ask an AI assistant a question, it answers and stops. An AI agent is different in a fundamental way: it can take actions, observe the results of those actions, and then decide what to do next based on what it observed. It operates in a loop — think, act, observe, think again — until it completes a task or determines it can’t.

Enterprise AI Platform Architecture

Mon, 01 Jan 0001 00:00:00 +0000

1. Enterprise AI Architecture

Enterprise AI architecture refers to the overall, big-picture design of how an organization structures all of its various AI-related systems, services, and infrastructure together — not just one single application, but the complete, broader picture of how many different AI-powered applications, potentially built by many different teams, actually fit together and share common underlying infrastructure across an entire organization.

Production-Ready Agentic System Design

Mon, 01 Jan 0001 00:00:00 +0000

1. End-to-End Agentic System Design

Designing an agentic system end to end is fundamentally different from designing a regular software system, and understanding why requires understanding what makes agents distinct from other software.