What would you do differently at work tomorrow if you actually knew when to trust your AI agent — and when to override it? This Short Course was created to help Operations Management professionals build a practical framework for working alongside AI agents with confidence and control. By completing this course, you'll be equipped to categorize your daily tasks for delegation, run structured verification checks on agent-generated outputs, and make documented, defensible decisions — starting the very next workday. By the end of this course, you will be able to:

- Analyze current workflow tasks to categorize each as delegate-to-agent, shared, or retain-manual based on complexity and risk - Create a verification checklist that specifies data-source checks, factual spot-tests, and privacy red-flags for agent outputs - Evaluate an agent-generated output against the checklist and document whether to accept, refine, or escalate the result This course is unique because it is designed specifically for non-technical operations workers handed a new AI tool with no playbook — addressing hallucination, drift, and runaway loops in plain language.The course introduces common AI agent failure modes including hallucinations, stale context, incorrect tool usage, privacy exposure, workflow breakdowns, drift, and runaway loops.