AI: Understand, Explore, Apply

What This Is For.

Find out where AI helps with your work. We test its capabilities against your tasks and examine the skills, checks, and support people need to use it well.

Who It Is For

Teams and leaders who want practical experience with AI and a clearer view of where it belongs in their work.

What We Work Toward

• Build a shared understanding of generative AI, its capabilities, limits, and the difference between an assistant and an agent-supported workflow.
• Identify useful applications through customer needs, recurring tasks, bottlenecks, and the cost of error.
• Practice giving context, checking outputs, and deciding what needs human judgment or an alternative approach.

What You Experience.

Participants work on a real task twice: first with their current approach, then with AI. They compare the results, challenge one another's assumptions, and examine what improved, what failed, and what it took to get there.

What You Take Away.

We work toward these outcomes:

• A short, prioritized list of AI applications for your team's work.
• Reusable task instructions or a simple workflow, with quality checks and escalation points.
• A first experiment plan with an owner, baseline, success criteria, and a review date.

A Proposed Agenda.

We adapt this starting point to your context, experience, and the question you bring.

1. 30 min

   Start With The Work

   Surface current questions and expectations. Choose real tasks and define what a useful result would look like.

2. 35 min

   Build A Shared Picture

   A compact introduction and live demonstrations, including plausible but wrong outputs, uncertainty, and the limits of delegation.

3. 45 min

   Try, Compare, Question

   Hands-on pairs work with approved tools and non-sensitive examples. Compare AI-supported and current approaches.

4. 15 min

   Break

   Time to pause.

5. 60 min

   Run A Use-Case Lab

   Develop a task workflow. Supply context, define the desired output, and decide where a person must check or intervene.

6. 45 min

   Lunch

   Time away from the work.

7. 45 min

   Evaluate The Result

   Test against examples and failure cases. Examine quality, time, trust, and who carries responsibility.

8. 40 min

   Look Beyond The Tool

   Map implications for skills, roles, collaboration, customer value, and concerns about what may be lost.

9. 30 min

   Choose An Experiment

   Prioritize a small test and agree an owner, learning question, measures, boundaries, and review date.

10. 15 min

    Close And Transfer

    Each participant names the next action and the support needed to take it.

Before And After.

Preparation

A short scoping conversation, a picture of participants' experience, and two or three representative tasks. We agree appropriate tools, accounts, and data boundaries beforehand.

Continuing The Work

An optional review after the first experiments helps distinguish a disappointing tool result from a task, workflow, or learning problem.

The Perspective I Bring

We consider individual confidence and assumptions, practical skills and behavior, team norms, and the structures and technology around the work.