How to build an AI agent: A simple guide for anyone
AI-summarised brief · reviewed before publication
An AI agent can automatically detect and respond to security incidents, such as a phishing‑induced compromised account, by disabling the account, scanning for malware, opening tickets, alerting staff and drafting reports. Unlike chat‑based AI, agents act on tasks and integrate with Microsoft 365 Copilot, allowing non‑developers to create functional prototypes without code. The guide outlines four steps: (1) define a concrete business problem and desired outcome; (2) explore existing models or pre‑built agents in the Copilot store and assess skill level; (3) use the “New Agent” feature to describe the task in plain language, generate a draft, test, and refine behavior, tone and workflow; and (4) attach relevant data sources and specify output formats such as reports or email replies. The process enables teams to automate repetitive work like status‑report generation or shared‑inbox handling.
💡 Why It Matters
- · By turning everyday workflows into autonomous actions, AI agents let organizations cut manual effort and tighten security response times without requiring software‑development expertise.