AI agents represent an important shift in how organizations may use artificial intelligence. Traditional AI tools typically respond to individual prompts, while agents are designed to work toward goals across multiple steps and actions.
This session introduces the fundamentals of AI agents in clear, business-friendly language. Participants will explore the differences between AI assistants, automated tasks, reusable skills, and agents. They will learn how agents can support workflows such as research, reporting, project coordination, administrative processes, customer support, monitoring, and internal operations.
The session will also address the importance of clearly defining an agent's role, available information, permitted actions, decision boundaries, escalation points, and quality standards. Participants will examine why successful agents require strong processes and thoughtful human oversight.
By the end of the session, attendees will identify a potential agent use case from their own work and begin outlining the role, responsibilities, workflow, inputs, outputs, and safeguards needed to create a useful digital teammate.
AI is evolving from a tool that simply answers questions into technology capable of supporting multi-step work. AI agents can help coordinate activities, gather information, make decisions within defined boundaries, and take action across more complex workflows.
This session provides a practical introduction to AI agents for business professionals. Participants will learn what agents are, how they differ from traditional chat-based AI, and where they can begin adding value. Attendees will identify a workflow from their own work and begin designing an agent that could support it. No coding background is required. The focus is on understanding what makes a strong agent use case, defining responsibilities and boundaries, and determining where human oversight should remain.
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