Many teams are experimenting with AI tools but struggle to decide where to start. In this module, you will learn how to identify practical opportunities for AI agents by examining the work you already do every day. You will map your tasks, analyze how workflows move through people and systems, and evaluate which processes are safe and valuable to automate. You will also learn how to assess risk, data sensitivity, and business impact so you avoid deploying AI in places where mistakes could cause real problems. By the end of this module, you will have a clear shortlist of workflows that are realistic candidates for your first AI agent projects.

You are often the bridge between business questions and technical delivery, and this module helps you make that bridge precise. You will learn to write short, operational AI agent briefs that name the business problem, identify target users and observable triggers, and define measurable success criteria. You will practice translating user stories into implementable agent behaviors—sequenced actions, required integrations, and simple escalation rules—and learn how to turn nontechnical concerns about reliability and explainability into monitoring plans using application programming interfaces, integrations, and activity logs. After completing this module, you will be able to produce a stakeholder-ready agent brief and recommend guardrails that enable safe, evaluable pilots.