What You Will Learn
This one-day leaders program builds practical AI literacy for managers, project leaders, and business stakeholders who need to make informed decisions about AI—without diving into technical implementation. Participants learn the core concepts and current AI landscape in plain language, practice using AI to improve everyday leadership workflows (writing, planning, analysis, and decision support), and leave with concrete artifacts they can use to sponsor and scope real initiatives.
The day is structured around four 90-minute sessions that balance concise instruction with hands-on exercises. Leaders will develop a shared vocabulary (models, assistants, agents, RAG, inference), build an intuition for where AI is genuinely useful versus where it creates risk, and learn a few simple verification habits to improve output quality. A practical workshop segment focuses on turning a real artifact—such as a project update, policy draft, or stakeholder communication—into a leader-ready deliverable with an executive summary, action list, and risk/assumption check, emphasizing clarity and accountability.
The second half of the day shifts from understanding to sponsorship: how to select AI use cases worth piloting, define success metrics, and right-size scope so teams can prove value quickly. Participants work in small groups to complete a use-case canvas and then translate it into a sponsor-ready one-pager that includes constraints, risks, required controls, and measurement plans. The program closes with a lightweight governance and rollout playbook, helping leaders coordinate with technical teams and set expectations for what a reasonable pilot (and a responsible scale-up) looks like in their organization.
