AI Fluency at Work: From Using AI to Directing It (Triangle)

This is a working session, not a lecture. Three hours, hands-on throughout, on attendees' own real tasks. Everyone brings one thing they actually have to get done: an email they're dreading, a document to summarize, a spreadsheet to make sense of, a policy to rewrite in plain language.

Most of the value in these tools sits behind features almost nobody turns on. Only 17% of workers have been trained on agents and automation, and the ones who have score nearly twice as high onAI proficiency. We spend real time there.

Everyone leaves having finished a piece of real work, with one agent or automation running on
something they do every week, and a clear sense of when to trust the output and when not to.

What Attendees Will Learn:

• How these tools actually work, in plain language, and where — they reliably fail
• A repeatable way to direct AI that gets usable output the first time, practiced live on their own work
• Agents and automation: what is already sitting inside the tools they have, how to set
  one up, and what to hand off versus what to keep
• Which model to reach for and when, and why the default setting is costing them quality
• Where AI already lives in their software: email, documents, meetings, spreadsheets
• How to judge the output: what to verify, what to escalate, and what should never go into a
  chatbot