Summary: Most leaders at this conference have heard the AI pitch dozens of times. They’ve seen the demos, read the articles, and maybe even bought licenses. But they haven’t started. Not because they’re resistant—because nobody has given them a realistic, low-stakes way to begin. This session is built from 40+ weeks of one leader’s documented AI journey—what actually worked on day one, what didn’t, and the four skills that turned awkward first conversations into genuine productivity. No live demos. No tool comparisons. Instead: an honest account of what it feels like to start, a practical framework for the first conversation, and a specific challenge attendees can try tonight.

Outcome: Attendees leave with a clear mental model for their first productive AI conversation and a specific prompt to try before tomorrow morning

Takeaway: The Four Skills framework—Set the Stage, Read Like a Skeptic, Work the Conversation, Know When to Stop—and a concrete first-night challenge

Key Discussion Points:

• Why most AI adoption stalls at “I should try this” and never reaches “I actually did”
• The honest version of day one: what starting actually feels like for a business leader
• The Spectator vs. Participant trap: why waiting for the right use case guarantees you never find it
• The Four Skills framework: what 40 weeks of documented AI learning revealed as the actual working skills
• Set the Stage: the 30 seconds before your first prompt that determine whether the output is useful
• Read Like a Skeptic: why AI’s most dangerous failure mode is confident-sounding nonsense—and how to spot it
• Work the Conversation: treating every AI response as a first draft you shape through dialogue, not a final answer
• Know When to Stop: the skill nobody teaches—recognizing when AI is the wrong tool for the problem
• Why “try AI” isn’t a strategy—and what to do instead
• The Tonight Challenge: a specific prompt designed for finance and IT leaders that produces a surprising result on first try