What makes a good AI workshop?

A good AI workshop doesn’t just answer the question “What is AI?” but above all “What does AI specifically mean for our company?” From our perspective at PLAN D, the quality of a workshop can be measured against clear criteria:

Relevance over theory
A good workshop works with real, economically and strategically relevant examples and provides insights into concrete AI projects from practice.

Assessment over hype
AI is neither overhyped nor downplayed, but realistically assessed with its possibilities and limitations.

Substance over buzzwords
It’s about solid expertise on AI capabilities overall — not just about LLMs, prompting, or tool demos.

Interdisciplinary exchange
A good workshop brings management, departments, and technology together and enables cross-functional discussions.

Clarity for decisions
The goal is to derive concrete areas for action and next steps, not to impart knowledge for its own sake.

Responsibility built in
Regulation, governance, and responsible use of AI are integral components.

Experience in facilitation
Facilitated by practitioners who know AI from real projects, not just from training materials.

These are exactly the criteria by which we design the AI workshops and consulting formats at PLAN D.