AI Workshop FAQ
What should an AI workshop cover?
Quick answer
An effective AI workshop covers: what AI actually is (without hype), where it creates genuine value in the participants’ specific context, where it creates risk (and what governance is required), how to evaluate AI tools without a vendor pitch, and what to do next (a specific, implementable plan). Generic AI workshops that cover AI in the abstract without connecting to participants’ actual work create awareness without action. The best AI workshops end with participants having a personal or team implementation plan.
The five elements of an effective AI workshop
The first element is grounding: establishing what AI actually is and is not — correcting the hype and the fear that distort most participants’ starting position. AI is probabilistic, not deterministic; powerful in specific contexts, limited in others; improving rapidly but with specific failure modes that matter. The second element is contextualisation: mapping AI’s genuine value potential to the specific roles, workflows, and objectives of the participants in the room — not AI in the abstract. The third element is risk: where does AI create risk in this specific context, and what governance is required? The fourth element is evaluation: how do participants assess AI tools without being manipulated by vendor presentations? What questions to ask, what to test, what governance requirements to check. The fifth element is action: a specific, written plan that each participant leaves with, containing concrete next steps with timescales.
What to avoid in AI workshop design
The most common failure in AI workshop design is genericism: delivering a curriculum about AI as a technology, rather than AI as it applies to this organisation, this team, these specific workflows. Participants who sit through a generic AI workshop leave knowing slightly more about AI as a concept, but unable to answer the question: what should I do differently on Monday? The second failure is vendor bias: workshops delivered by companies with commercial interests in specific AI platforms are designed, consciously or not, to lead participants towards those platforms. The third failure is absence of output: a workshop that ends without a written plan, a decision, or a specific action list has produced awareness, not change. Awareness workshops have their place, but they should be designed as a step towards action, not a substitute for it.
Acuity AI Advisory’s workshops are designed around participants’ actual roles and produce written implementation plans. See our AI productivity workshop.