Month-end close is often slowed by fragmented data, repetitive reconciliations, manual follow-ups, and the constant challenge of proving how each number was produced. AI agents can help accounting teams coordinate these activities, investigate exceptions, and move work forward, but only when they are designed around clear controls, reliable data, and human accountability. This practical course shows you how to apply AI agents to accounting operations and close automation. You will learn how to map close workflows, identify tasks suitable for agent assistance, structure accounting context and instructions, and connect agents to the tools and records they need. You will also explore agent-driven reconciliations, variance investigation, close checklist management, evidence collection, exception routing, and status communication across the accounting team. The course is designed for accountants, accounting operations specialists, controllership teams, finance systems professionals, and automation leaders who want to improve close execution without treating AI as an uncontrolled black box. Familiarity with accounting processes and basic spreadsheet or business system workflows will help, but prior AI engineering experience is not required. By the end, you will have a practical framework for designing a controlled close automation workflow, evaluating where agents add value, and defining the approvals, audit trails, and escalation paths required for production use. Start building a more coordinated, transparent, and efficient accounting close process today.