AI can produce useful output quickly, but it cannot understand your workplace, weigh risk, or own the outcome. AI is there to support people’s work—not replace their judgment. In this applied workshop, you will learn why large language models behave the way they do—and how training data, prediction, neural networks, hallucinations, and human review shape the quality of AI-supported work. You will use that understanding to make better decisions about where AI can create value, what it needs to know, and what should remain human-led. This practical AI training workshop is designed for professionals, managers, and teams who want to use AI more confidently in everyday work.

We start with your work. Bring a task, process, workflow, or use case from your role or team, then explore the AI tool landscape through that lens. You will see how tools such as ChatGPT (OpenAI), Google Gemini, and Microsoft Copilot differ, along with AI built into workplace software, knowledge-based tools, and custom assistants—and identify the kinds of support that best fit your goals, risk level, and way of working.

Bring Your Workflow. Amplify It with AI.

Bring a workflow that matters to your role or team—or use these examples to identify one. The work you bring may look different across industries, but the goal is the same: start with a repeatable process where AI-supported improvements could create a clear, near-term payoff through better decisions, smoother coordination, stronger consistency, or more time for high-value work.

• Knowledge Transfer & Continuity
  Capture and preserve leadership expertise, company culture, decision-making, and lessons learned—then apply them consistently across the organization.
• Communication & Messaging
  Turn routine updates, handoffs, and follow-ups into clearer, more consistent communication that reflects your organization’s brand voice and standards.
• Ideation & Problem-Solving
  Use AI to generate, test, and refine ideas; challenge assumptions; compare options; and explore scenarios grounded in your work, goals, and expertise.
• Audience Insight & Experience Design
  Use customer, employee, patient, client, or user insight to clarify needs, map key moments, and shape more relevant services, communications, and solutions.
• Intake, Scoping & Requirements
  Turn incomplete requests, competing priorities, and unclear needs into stronger briefs, sharper questions, shared expectations, and a clearer path forward.
• Decision Support & Recommendations
  Bring together information, options, risks, and perspectives to frame decisions, weigh tradeoffs, and turn discussion into stronger recommendations.
• Presentations, Proposals & Persuasion
  Turn complex information into clear, credible stories that help leaders, clients, partners, or teams understand the opportunity and act with confidence.
• Training, Onboarding & Capability Building
  Turn established procedures, examples, and standards into clearer learning, practice, and onboarding tools that build confidence for faster application.
• Quality Assurance, Risk & Review
  Use AI to organize inputs, surface potential gaps, and support human review against quality, safety, compliance, or organizational standards.
• Project Planning & Coordination
  Turn goals, requests, and constraints into clear priorities, roles, action plans, and handoffs—reducing rework and keeping workstreams aligned and moving.

You will leave with a personalized assistant blueprint: a practical design brief for a reusable AI assistant shaped around your workflow. Together, we will define the recurring work the assistant should support, the outcome it should help create, the trusted source materials and context it needs, the instructions and examples that guide it, the guardrails it must follow, and the review points that keep people in control.

Move beyond trial and error. Take control of how AI fits into your work, choose a stronger direction for your team, and leave with a tailored starting point you can test, refine, and put to work.