Agenda

Why AI matters for managers, workshop goals, expectations

This session gives managers a simple, non-technical understanding of AI, machine learning, and generative AI. It should remove confusion, reduce hype, and establish a common language for the rest of the day.

This session focuses on where AI creates real management value. Examples should include drafting emails, summarizing documents, preparing reports, organizing ideas, analyzing options, preparing meetings, and supporting routine decision-making.

This is the most practical skills session. Participants learn how to provide context, define the task clearly, specify tone and format, improve weak prompts, and review outputs critically rather than accepting them at face value.

This session protects the workshop from becoming naive or overly optimistic. It should cover hallucinations, misinformation, confidentiality, privacy, bias, copyright concerns, human accountability, and when AI should assist but not decide.

This session translates AI into actual management work. It can include leadership communication, meeting preparation, issue analysis, prioritization, planning support, stakeholder communication, and selected project-management examples without making the workshop too narrow.

This closing session turns awareness into action. Participants identify their top three use cases, define one low-risk pilot activity, and leave with a practical plan for applying AI immediately after the workshop.