AI tools are flooding workplaces with recommendations, analyses, and summaries that look authoritative, but when should teams trust these outputs enough to stake their reputation on them? Many professionals find themselves caught between pressure to leverage AI's efficiency and concerns about potential errors that could damage credibility or create business risks.

This workshop teaches working professionals how to govern AI-assisted work through structured decision-making frameworks rather than hoping prompt engineering will solve accuracy concerns. 

We will move beyond generating AI output to mastering when and how to authorize reliance on it. We'll examine how to implement "selective reliance" — a systematic approach to distinguishing between AI-generated content that's ready for release, content that requires additional verification, and outputs that should never leave your desk. We'll explore practical governance frameworks for medium-stakes business decisions, audit techniques for catching improper reliance, and methods for establishing clear accountability chains when AI recommendations influence real business outcomes.

We'll be using ChatGPT (free version) during the Workshop.  No additional purchase is necessary.

 
Education with Impact
Competitive skills, immediate application, job-ready outcomes

Live Online learning
Structured instruction, guided practice, real tools

Meaningful engagement
Live engagement, faculty-led, global peer interaction
  • Mid-level to senior professionals who use AI tools in producing recommendations, analyses, proposals, or summaries
  • Managers who are expected to approve, send, publish, or act on AI-assisted work
  • Compliance, regulatory or commercial leaders responsible for professional, operational, or reputational consequences if AI output is wrong or misapplied
  • Team leads who need a structured method for governing reliance, not just generating output

Request Information Now by completing the form below.

Act today—workshops are filling fast.