Leaders are being asked to “do something with AI,” but most guidance is either too technical to apply or too shallow to trust. In this session, we’ll cut through the hype and focus on what leaders actually need: a practical understanding of where AI helps, where it hurts, and how to use it responsibly to improve outcomes for teams and organizations.

We will cover the major categories of AI in plain language (predictive vs. generative), common myths, and real ways leaders can use AI to communicate more clearly, summarize and synthesize information faster, and support decision-making without outsourcing judgment.

You will also learn a lightweight prompting framework built for leadership tasks (tone, audience, constraints, and “what good looks like”), plus ways to reduce bias and risk when AI output influences decisions.

Walk away with a leader-friendly playbook you can apply immediately: use cases, guardrails, and practical prompts you can reuse the next day.

Key Takeaways
*A clear mental model of AI types and where each fits in leadership work
*A prompting framework for clarity, creativity, and efficiency in leadership communications
*How to use AI to support decisions while maintaining human judgment and reducing bias
*Practical “safe to use / not safe to use” guardrails for leaders for risk-aware adoption

Audience / Level
Leaders, managers, tech leads; intermediate (no ML background required, but not “AI 101”)